@article{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Sustainability in supplier selection and order allocation: Combining integer variables with Markowitz portfolio theory}, series = {Journal of Cleaner Production}, volume = {214}, journal = {Journal of Cleaner Production}, publisher = {Springer Nature}, doi = {10.1016/j.jclepro.2018.12.315}, pages = {462 -- 474}, abstract = {This research presents a decision support methodology for the multi-criteria supplier selection and order allocation problem. The proposed approach supports purchasing managers in assembling mid-term supplier portfolios while making them aware of the trade-offs between the supplier sustainability, the purchasing costs, and the overall supply risk. First, we propose a multi-objective optimization model with three objectives: to maximize the supplier sustainability, to select the supplier portfolio with the lowest purchasing costs, and to minimize the supply risk. Our model extends existing mathematical approaches that follow the portfolio theory fathered by H. Markowitz by integrating the aspect 'risk' into the supplier selection problem. Secondly, since we allow for integer variables in our model—in contrast to the classical Markowitz portfolio theory—we use the ε-constraint method to visualize the efficient surface. The possibility of considering the non-dominated set of supplier portfolios is advantageous for purchasing managers as they gain a picture of the different optimal supplier portfolios and are able to analyze the trade-offs between the different purchasing goals before making a decision. Finally, we illustrate the applicability of the proposed methodology in a real-world supplier selection and order allocation case from the automotive industry. In the example case, we identify 1754 optimal supplier portfolios that may be assembled based on the eight available suppliers. Our analyses show that each optimal portfolio consists of two suppliers, with one specific supplier being included in each portfolio. Furthermore, four suppliers are not part of any optimal solution.}, language = {en} } @article{KellnerLienlandUtz, author = {Kellner, Florian and Lienland, Bernhard and Utz, Sebastian}, title = {A multi-criteria decision-making approach for assembling optimal powertrain technology portfolios in low GHG emission environments}, series = {Journal of Industrial Ecology}, volume = {25}, journal = {Journal of Industrial Ecology}, number = {6}, publisher = {Wiley}, doi = {10.1111/jiec.13148}, pages = {1412 -- 1429}, abstract = {Environmental regulations force car manufacturers to renew the powertrain technology portfolio offered to the customer to comply with greenhouse gas (GHG) emission targets. In turn, automotive companies face the task of identifying the "right" powertrain technology portfolio consisting of, for example, internal combustion engines and electric vehicles, because the selection of a particular powertrain technology portfolio affects different company targets simultaneously. What makes this decision even more challenging is that future market shares of the different technologies are uncertain. Our research presents a new decision-support approach for assembling optimal powertrain technology portfolios while making decision-makers aware of the trade-offs between the achievable profit, the achievable market share, the market share risk, and the GHG emissions generated by the selected vehicle fleet. The proposed approach combines "a posteriori" decision-making with multi-objective optimization. In an application case, we feed the outlooks of selected market studies into the proposed decision-support system. The result is a visualization and analysis of the current real-world decision-making problem faced by many automotive companies. Our findings indicate that for the proposed GHG restriction at work in 2030 in the European Union, no optimal powertrain technology portfolio with less than 35\% of vehicles equipped with an electric motor exists.}, language = {en} } @article{NeumuellerLaschKellner, author = {Neum{\"u}ller, Claudia and Lasch, Rainer and Kellner, Florian}, title = {Integrating sustainability into strategic supplier portfolio selection}, series = {Management decision}, volume = {54}, journal = {Management decision}, number = {1}, publisher = {Emerald}, doi = {10.1108/MD-05-2015-0191}, pages = {194 -- 221}, abstract = {Purpose - The purpose of this paper is to propose a comprehensive methodology and a problem-specific model for the configuration of the optimal strategic supplier portfolio in terms of traditional, performance-related objectives and sustainability targets. Design/methodology/approach - To bridge the research gap, i.e., to align strategic supplier portfolio selection with corporate sustainability targets, a hybrid model of the analytic network process (ANP) and goal programming (GP) is developed. To validate the model, a case example is presented and managerial feedback is collected. Findings - By enabling the integration of sustainability targets into strategic supplier portfolio configuration, the hybrid ANP-GP model contributes to research in the area of sustainable supply chain management. Results indicate that simplifying the model by omitting one or more details may lead to unfortunate actions. Research limitations/implications - The model has been applied using a case example in the automotive industry. To strengthen the findings, it should be examined under other terms as well. Practical implications - Integrating economic, environmental, and social targets into strategic supplier portfolio configuration reduces supply risks and promotes the achievement of the sustainability goals of the purchasing company. Social implications - Strategic supplier selection counts among the decisions that have an impact on the environment and society for several years. Configuring economically rational, environmentally friendly, and socially responsible supplier bases supports worldwide efforts towards sustainable development. Originality/value - Although sustainable supplier selection has gained importance in recent years, this is the first time that a comprehensive model for the determination of the optimal strategic supplier portfolio in terms of performance-related objectives and sustainability targets has been proposed.}, language = {en} } @unpublished{KellnerLienlandUtz, author = {Kellner, Florian and Lienland, Bernhard and Utz, Sebastian}, title = {An a Posteriori Multi-Objective Supplier Portfolio Selection Approach Under Risk and Sustainability Considerations}, series = {SSRN Electronic Journal}, journal = {SSRN Electronic Journal}, doi = {10.2139/ssrn.2901390}, pages = {39}, abstract = {This research presents a novel, state-of-the-art methodology for solving the multi-criteria supplier selection problem under risk and sustainability considerations. The approach combines multi-objective optimization with the analytic network process to meet the requirements for supplier portfolio configuration with sustainability considerations. To integrate the aspect 'risk' into the supplier selection problem, this research develops a multi-objective optimization model based on the investment portfolio theory introduced by Markowitz. The proposed model is a non-standard portfolio selection problem with four objectives: to minimize the purchasing costs, to select the supplier portfolio with the highest logistics service, to minimize the supply risk, and to order as much as possible from those suppliers with outstanding sustainability performance. The optimization model, which has three linear and one quadratic objective function, is solved by an algorithm which analytically computes a set of efficient solutions and provides graphical decision support by a visualization of the complete and exactly-computed Pareto front (a posteriori approach). The possibility of computing all Pareto optimal supplier portfolios is beneficial for decision makers as they can compare all optimal solutions at once, identify the trade-offs between the criteria, and study how the different aspects of supplier portfolio configuration may be balanced to finally choose the composition that satisfies the purchasing company's strategy at best. The approach has been applied to a real-world supplier portfolio configuration case to demonstrate its applicability and to analyze how the consideration of sustainability requirements may affect the traditional supplier selection and purchasing goals in a real-life setting.}, language = {en} } @article{KellnerIgl, author = {Kellner, Florian and Igl, Johannes}, title = {Greenhouse gas reduction in transport: analyzing the carbon dioxide performance of different freight forwarder networks}, series = {Journal of Cleaner Production}, volume = {99}, journal = {Journal of Cleaner Production}, publisher = {Elsevier}, doi = {10.1016/j.jclepro.2015.03.026}, pages = {177 -- 191}, abstract = {There are growing concerns in the food industry about how supply chains can be managed in a more sustainable way. When distribution activities are outsourced to a logistics service provider (LSP), shippers need to evaluate the LSPs they may (potentially) engage in order to ensure that supply chain sustainability goals are met. In this paper, we present a methodology for LSP evaluation and focus on the ecological dimension of sustainability. We examine how the network carbon footprint of a real-world distribution system is affected by the LSP network that is chosen to forward goods from production facilities to customers. To do this, we analyze the shipment data of an existing Fast Moving Consumer Goods (FMCG) manufacturer. A quantitative distribution network model is set up to study the network carbon footprint of 125 scenarios. Real-world shipments are forwarded via five generic, idealized types of LSP networks. In total, 625 network carbon footprints, specified by three distribution logistics variables and the structure of the LSP network, have been calculated. The results show that LSP structures practicing a geographically decentralized consolidation of shipments are most efficient in reducing of greenhouse gas (GHG) emissions. Furthermore, the effects of changing the manufacturer's and the LSP's strategies for deciding on the tonnage to be forwarded via the LSP network or moved by direct transports are quantified. Finally, we estimate the GHG effect of improving the capacity utilization of the vehicles that move the products.}, language = {en} } @article{Kellner, author = {Kellner, Florian}, title = {Generating greenhouse gas cutting incentives when allocating carbon dioxide emissions to shipments in road freight transportation}, series = {OR Spectrum}, volume = {44}, journal = {OR Spectrum}, number = {3}, publisher = {Springer Nature}, doi = {10.1007/s00291-022-00675-y}, pages = {833 -- 874}, abstract = {Road freight transportation accounts for a great share of the anthropogenic greenhouse gas (GHG) emissions. In order to provide a common methodology for carbon accounting related to transport activities, the European Committee for Standardization has published the European Norm EN-16258. Unfortunately, EN-16258 contains gaps and ambiguities and leaves room for interpretation, which makes the comparison of the environmental performance of different logistics networks still difficult and hinders the identification of best practices. This research contributes to the identification of particularly meaningful principles for the allocation of GHG to shipments in road freight transportation by presenting an analytical framework for studying the performance of the EN-16258 allocation schemes with respect to accuracy, fairness, and the GHG minimizing incentive. In doing so, we continue previous studies that analyzed two important aspects of the EN-16258 allocation rules: accuracy and fairness. This study provides further insights into this allocation problem by investigating the incentive power of the different allocation schemes to opt for the GHG minimal way of running a road freight network. First, we complement the list of transport scenarios introduced in prior studies and present two novel scenarios. Second, we carry out a series of numerical experiments to compare the EN-16258 allocation rules with respect to accuracy, fairness, and the GHG minimizing incentive. We find that the results may differ significantly for the two scenarios, suggesting a case-by-case recommendation. This is particularly interesting because the first scenario confirms the results of the prior studies, while the second scenario rather contradicts them.}, language = {en} } @unpublished{KellnerSchneiderbauer, author = {Kellner, Florian and Schneiderbauer, Miriam}, title = {Further Insights into the Allocation of Greenhouse Gas Emissions to Shipments in Road Freight Transportation: The Pollution Routing Game}, series = {SSRN Electronic Journal}, journal = {SSRN Electronic Journal}, doi = {10.2139/ssrn.3221764}, abstract = {At present, there is no globally accepted standard for the allocation of greenhouse gas (GHG) emissions to shipments in road freight transportation. The only official international standard for emission calculation of transport operations is the European Norm EN-16258. However, even this norm still allows choosing from several alternative emission allocation schemes. This research aims to harmonize the process of GHG declarations for supply chains by identifying among all allocation units specified by EN-16258 the one that describes a shipment's contribution to GHG emissions best. For this purpose, concepts of the cooperative game theory are used. First, we develop three transport scenarios that allow studying a shipment's effect on GHG: a vehicle routing problem, a network flow model, and a mixed scenario. Our approach extends previous research projects because we take into account that shipment characteristics in terms of origin, destination, weight, and volume consume transport capacities to different degrees, impact the routing of the commercial vehicles and, thus, determine GHG. Second, we present the results of a computational study that bases on the introduced transport scenarios and that compares the allocation vectors resulting from the EN-16258 allocation rules with the Shapley value, which serves as a benchmark for a shipment's contribution to GHG. Furthermore, we show how often the EN-16258 allocation principles are in line with a set of game theoretical fairness criteria. The results indicate that the allocation unit 'distance' is the closest to the game theory benchmark and most often in line with game theoretical fairness criteria.}, language = {en} } @article{FuchsBeckLienlandetal., author = {Fuchs, Christoph and Beck, Daniel and Lienland, Bernhard and Kellner, Florian}, title = {The role of IT in automotive supplier supply chains}, series = {Journal of Enterprise Information Management}, volume = {31}, journal = {Journal of Enterprise Information Management}, number = {1}, publisher = {emerald insight}, doi = {10.1108/JEIM-03-2017-0038}, pages = {64 -- 88}, abstract = {Purpose The purpose of this paper is to explore the impact of information technology (IT) on supply chain performance in the automotive industry. Prior studies that analyzed the impact of IT on supply chain performance report results representing the situation of the "average industry." This research focuses on the automotive industry because of its major importance in many national economies and due to the fact that automotive supply chains do not represent the supply chain of the average industry. Design/methodology/approach A research model is proposed to examine the relationships between IT capabilities, supply chain capabilities, and supplier performance. The model divides IT capabilities into functional and data capabilities, and supply chain capabilities into internal process excellence and information sharing. Data have been collected from 343 automotive first-tier suppliers. Structural equation modeling with partial least squares is used to analyze the data. Findings The results suggest that functional capabilities have the greatest impact on internal process excellence, which in turn enhances supplier performance. However, frequent and adequate information sharing also contributes significantly to supplier performance. Data capabilities enable supply chain capabilities through their positive impact on functional capabilities. Practical implications The findings will help managers to understand the effect of IT implementation on company performance and to decide whether to invest in the expansion of IT capacities. Originality/value This research reports the impact of IT on supply chain performance in one of the most important industries in many industrialized countries, and it provides a new perspective on evaluating the contribution of IT on firm performance.}, language = {en} } @article{Kellner, author = {Kellner, Florian}, title = {Exploring the impact of urbanization on consumer goods distribution networks}, series = {Journal of Asian Business and Economic Studies}, volume = {28}, journal = {Journal of Asian Business and Economic Studies}, number = {2}, publisher = {Emerald}, doi = {10.1108/JABES-12-2019-0127}, pages = {101 -- 120}, abstract = {Purpose Due to the growing percentage share of urban dwellers, the physical distribution of products faces altering conditions. This research explores the effects that urbanization has on the performance of a fast-moving consumer goods distribution network. A focus is set on changes in distribution cost, the cost-minimal network design, and greenhouse gas emissions. Design/methodology/approach The analyses are based on a quantitative distribution network model of an existing manufacturer of consumer goods. Findings The results indicate that the foreseen population shift will affect the network's economic and environmental performance. Effects are, among others, due to differences in the efficiency of supplying urban and nonurban regions. The combined effects of urbanization and the development of the population size will even more affect the network's performance. Originality/value Research dealing with distribution logistics and urbanization primarily focuses on city logistics. In this paper, the object of analysis is the entire distribution system.}, language = {en} } @article{NeumuellerKellnerGuptaetal., author = {Neum{\"u}ller, Claudia and Kellner, Florian and Gupta, Jatinder N.D. and Lasch, Rainer}, title = {Integrating three-dimensional sustainability in distribution centre selection: the process analysis method-based analytic network process}, series = {International Journal of Production Research}, volume = {53}, journal = {International Journal of Production Research}, number = {2}, publisher = {Taylor \& Francis}, doi = {10.1080/00207543.2014.939241}, pages = {409 -- 434}, abstract = {In this paper, we propose a combined methodology for the selection of distribution centres (DCs) by integrating and balancing economic, environmental and social sustainability aspects. The analytic network process (ANP) permits to systematically evaluate possible DCs on the basis of a situation-specific decision structure. A systematic development of the decision networks, which is one of the core challenges using the ANP, is supported by the process analysis method which we extend for that purpose. The validity and soundness of the proposed framework are demonstrated by means of a case study. The case study results reveal that omitting aspects of sustainability can lead to unfortunate results.}, language = {en} } @article{Kellner, author = {Kellner, Florian}, title = {Insights into the effect of traffic congestion on distribution network characteristics - a numerical analysis based on navigation service data}, series = {International Journal of Logistics Research and Applications}, volume = {19}, journal = {International Journal of Logistics Research and Applications}, number = {5}, publisher = {Taylor \& Francis}, doi = {10.1080/13675567.2015.1094043}, pages = {395 -- 423}, abstract = {This research studies effects that the average increase in travel times due to road traffic congestion has on characteristics of an existing distribution network. It presents the most detailed estimate of 'on-the-road' effects on distribution network characteristics up to now, from the network modelling perspective and from the processed data point of view. A concrete network model allowing for the representation of all relevant transportation flows is presented. The processed traffic information relies on navigation service data. The use of such data allows the requirements that arise for the traffic analysis of a whole distribution network to be met. It is shown that this data source may considerably contribute in forthcoming research. The effects of traffic congestion are quantified to get insights into the extent to which regular traffic congestion affects distribution network characteristics and to understand the mitigating effect when the number of distribution centres is increased.}, language = {en} } @article{Kellner, author = {Kellner, Florian}, title = {Allocating greenhouse gas emissions to shipments in road freight transportation: Suggestions for a global carbon accounting standard}, series = {Energy Policy}, volume = {98}, journal = {Energy Policy}, address = {Elsevier}, doi = {10.1016/j.enpol.2016.09.030}, pages = {565 -- 575}, abstract = {The European Norm EN 16258 was published in 2012 to provide a common methodology for the calculation and declaration of energy consumption and greenhouse gas emissions related to any transport operation. The objective was to offer a pragmatic and scientifically-acceptable approach that allows a wide group of users to prepare standardized, accurate, credible, comparable, and verifiable energy consumption and emission declarations. However, in its current form, EN 16258 contains gaps and ambiguities, and leaves room for interpretation, which makes comparisons of supply chains difficult. This research aims to overcome the shortcomings in the domain of allocating emissions from road freight transport operations to single shipments. Based on a discussion of emission drivers and the results of numerical experiments comparing the allocation vectors created by the EN 16258 allocation rules with those generated by the Shapley value, which is claimed to be the benchmark, 'distance' is identified as the single most useful unit for bridging the trade-off between accuracy and simplicity better than the other recommended allocation schemes. Thus, this paper claims that future versions of EN 16258 should only allow the allocation unit 'distance.' This will promote the accurateness, simplicity, consistency, transparency, and comparability of emission declarations.}, language = {en} } @article{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {An inverse optimization approach for studying sustainability preferences in sourcing decisions}, series = {Journal of Cleaner Production}, volume = {483}, journal = {Journal of Cleaner Production}, publisher = {Elsevier}, doi = {10.1016/j.jclepro.2024.144305}, abstract = {Throughout many societies around the globe, there is growing awareness of the urgent need for the transition towards a sustainable economy. Research shows that buying firms have substantial leverage to initiate sustainable development by controlling the sustainable performance of their suppliers. In that context, this article presents a novel methodology based on inverse optimization to derive the implicit preferences of decision-makers in the trade-off between traditional sourcing objectives and sustainability in the supplier selection and order allocation process. The derived implicit preferences can then be used for further analyses to gain a better understanding of the characteristics of purchasing managers and sourcing situations that come with particularly high/low preferences placed on sustainability. Since the inverse optimization approach is computationally resource-intensive and consumes a significant amount of time, we present a scalable state-of-the-art cloud architecture that allows solving an arbitrary number of optimization programs in an acceptable amount of time. We demonstrate the feasibility of the proposed methodology in a real-world case. In doing so, we test how important sustainability aspects are in the supplier selection and order allocation decisions of one of the world's largest automotive parts manufacturers.}, language = {en} } @incollection{OttoLukeschBrabaenderetal., author = {Otto, Andreas and Lukesch, Maximilian and Brab{\"a}nder, Christian and Kellner, Florian}, title = {Konsumg{\"u}terdistribution}, series = {Handbuch Produktions- und Logistikmanagement in Wertsch{\"o}pfungsnetzwerken}, booktitle = {Handbuch Produktions- und Logistikmanagement in Wertsch{\"o}pfungsnetzwerken}, editor = {Corsten, Hans and G{\"o}ssinger, Ralf and Spengler, Thomas S.}, publisher = {De Gruyter Brill}, isbn = {9783110473803}, doi = {10.1515/9783110473803-039}, pages = {737 -- 758}, abstract = {Der Beitrag untersucht die Konsumg{\"u}terdistribution aus systemtheoretischer Sicht. Der Fokus liegt auf der logistischen Funktion der Warenverteilung mit Einschr{\"a}nkung auf schnelldrehende Konsumg{\"u}ter (FMCG) in Deutschland. Der eng an die Empirie angelehnten Beschreibung der Funktion, der Strukturelemente (Kunden, Hersteller, Handel, Logistikdienstleister, Sortimente, Sendungen, Betriebsmittel) sowie der Prozesse (Netzpla-nung, Distributionsplanung, Auftragsabwicklung, Transporte) folgt die Diskussion prinzipieller Arbeitsfelder (Systemf{\"u}hrerschaft, B{\"u}ndelung, Beschleunigung, Segmentierung, Kanalintegration, Kooperation) zur Umgestaltung der Konsumg{\"u}terdistribution.}, language = {de} } @article{BraunKunklerKellner, author = {Braun, Maximilian and Kunkler, Jan and Kellner, Florian}, title = {Towards Sustainable Cities: Utilizing Floating Car Data to Support Location-Based Road Network Performance Measurements}, series = {Sustainability}, volume = {12}, journal = {Sustainability}, number = {19}, publisher = {MDPI}, doi = {10.3390/su12198145}, abstract = {Road network performance (RNP) is a key element for urban sustainability as it has a significant impact on economy, environment, and society. Poor RNP can lead to traffic congestion, which can lead to higher transportation costs, more pollution and health issues regarding the urban population. To evaluate the effects of the RNP, the involved stakeholders need a real-world data base to work with. This paper develops a data collection approach to enable location-based RNP analysis using publicly available traffic information. Therefore, we use reachable range requests implemented by navigation service providers to retrieve travel times, travel speeds, and traffic conditions. To demonstrate the practicability of the proposed methodology, a comparison of four German cities is made, considering the network characteristics with respect to detours, infrastructure, and traffic congestion. The results are combined with cost rates to compare the economical dimension of sustainability of the chosen cities. Our results show that digitization eases the assessment of traffic data and that a combination of several indicators must be considered depending on the relevant sustainability dimension decisions are made from.}, language = {en} } @article{ObermaierHofmannKellner, author = {Obermaier, Robert and Hofmann, Johann and Kellner, Florian}, title = {Webbasierte Fertigungssteuerung in der Praxis: Pruduktivit{\"a}tssteigerungen mit dem Manufacturing-Execution-Sytem MR-CM©}, series = {HMD Praxis der Wirtschaftsinformatik}, volume = {47}, journal = {HMD Praxis der Wirtschaftsinformatik}, number = {2}, publisher = {Springer Nature}, doi = {10.1007/BF03340455}, pages = {49 -- 59}, abstract = {Manufacturing-Execution-Systeme (MES) werden in der Fertigungsindustrie dazu eingesetzt, einen durchgehenden Informationsfluss zwischen den an der Fertigung beteiligten Systemen herzustellen. Von der Vernetzung aller an der Produktion beteiligten Systeme wird dabei eine gesteigerte Produktivit{\"a}t auf Shop-Floor-Ebene erwartet. Beim Durchlauf des beispielhaft gezeigten Fertigungsauftrages wurden durch den Einsatz von MR-CM©, einem von der Maschinen-fabrik Reinhausen entwickelten und implemen-tierten MES, bereits einige Produktivit{\"a}tspotenziale im Vergleich mit der konventionellen Abwicklung ohne Einsatz des MES deutlich. Diese resultieren im Wesentlichen aus der Eliminierung von nicht wertsch{\"o}pfenden Schnittstellenproblemen zwischen den an der Auftragsdurchf{\"u}hrung beteiligten Maschinen. Die erzielten Produktivit{\"a}tszuw{\"a}chse bestehen im Kern aus einer Verk{\"u}rzung der Maschinenr{\"u}stzeiten, was zu einer Reduktion der Produktionskosten und einer Zunahme der Produktionsflexibilit{\"a}t f{\"u}hrt und zu einer Reduzierung der Werkzeugbest{\"a}nde sowie der damit verbundenen Kapitalbindungskosten.}, language = {en} } @article{KunklerBraunKellner, author = {Kunkler, Jan and Braun, Maximilian and Kellner, Florian}, title = {Speed Limit Induced CO2 Reduction on Motorways: Enhancing Discussion Transparency through Data Enrichment of Road Networks}, series = {Sustainability}, volume = {13}, journal = {Sustainability}, number = {1}, publisher = {MDPI}, doi = {10.3390/su13010395}, abstract = {Considering climate change, recent political debates often focus on measures to reduce CO2 emissions. One key component is the reduction of emissions produced by motorized vehicles. Since the amount of emission directly correlates to the velocity of a vehicle via energy consumption factors, a general speed limit is often proposed. This article presents a methodology to combine openly available topology data of road networks from OpenStreetMap (OSM) with pay-per-use API traffic data from TomTom to evaluate such measures transparently by analyzing historical real-world circumstances. From our exemplary case study of the German motorway network, we derive that most parts of the motorway network on average do not reach their maximum allowed speed throughout the day due to traffic, construction sites and general road utilization by network participants. Nonetheless our findings prove that the introduction of a speed limit of 120 km per hour on the German autobahn would restrict 50.74\% of network flow kilometers for a CO2 reduction of 7.43\% compared to the unrestricted state.}, language = {en} } @article{KellnerSchneiderbauer, author = {Kellner, Florian and Schneiderbauer, Miriam}, title = {Further insights into the allocation of greenhouse gas emissions to shipments in road freight transportation: The pollution routing game}, series = {European Journal of Operational Research}, volume = {278}, journal = {European Journal of Operational Research}, number = {1}, publisher = {Elsevier}, doi = {10.1016/j.ejor.2019.04.007}, pages = {296 -- 313}, abstract = {At present, there is no globally accepted standard for the allocation of greenhouse gas (GHG) emissions to shipments in road freight transportation. The only official international standard for emission calculation of transport operations is the European Norm EN-16258. However, even this norm still allows choosing from several alternative emission allocation schemes. This research aims to harmonize the process of GHG declarations for supply chains by identifying among all allocation units specified by EN-16258 the one that describes a shipment's contribution to GHG emissions best. For this purpose, concepts of the cooperative game theory are used. First, we develop three transport scenarios that allow studying a shipment's effect on GHG: a vehicle routing problem, a network flow model, and a mixed scenario. Our approach extends previous research projects because we take into account that shipment characteristics in terms of origin, destination, weight, and volume consume transport capacities to different degrees, impact the routing of the commercial vehicles and, thus, determine GHG. Second, we present the results of a computational study that bases on the introduced transport scenarios and that compares the allocation vectors resulting from the EN-16258 allocation rules with the Shapley value, which serves as a benchmark for a shipment's contribution to GHG. Furthermore, we show how often the EN-16258 allocation principles are in line with a set of game theoretical fairness criteria. The results indicate that the allocation unit 'distance' is the closest to the game theory benchmark and most often in line with game theoretical fairness criteria.}, language = {en} } @incollection{KellnerLienlandUtz, author = {Kellner, Florian and Lienland, Bernhard and Utz, Sebastian}, title = {Optimal engine technology mix in a low carbon economy}, series = {2020 International Conference on Decision Aid Sciences and Application (DASA), 08-09 November 2020, Sakheer, Bahrain}, booktitle = {2020 International Conference on Decision Aid Sciences and Application (DASA), 08-09 November 2020, Sakheer, Bahrain}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-7281-9677-0}, doi = {10.1109/DASA51403.2020.9317094}, pages = {95 -- 98}, abstract = {Environmental regulations force automotive companies to modify the powertrain technology portfolio offered to the customer to comply with greenhouse gas (GHG) emission targets. Automotive companies, in turn, are faced with the decision of finding the right powertrain technology portfolio because the selection of a particular technology portfolio affects different company targets at the same time. What makes this decision even more interesting is the fact that future market shares of the different technologies are uncertain. With its numerous objectives, this challenge requires multi-criteria decision-making techniques to identify the optimal powertrain technology portfolio. The objective of this research is to present a new decision support approach for assembling optimal powertrain technology portfolios while making decision-makers aware of the trade-offs between the achievable market share, the market share risk, and the GHG emissions generated by the selected vehicle fleet. The proposed approach combines `a posteriori' decision-making, multi-objective optimization, and the Markowitz portfolio theory. In an application case, the outlooks of selected market studies are fed into the proposed decision support system. The result is a visualization and analysis of the current real-world decision-making problem faced by many automotive companies. Interesting findings of this research include that for the assumed GHG restrictions in place in 2030, there exists no optimal powertrain technology portfolio that is not composed of at least 20\% of electric vehicles.}, language = {en} } @article{KellnerOttoBrabaender, author = {Kellner, Florian and Otto, Andreas and Brab{\"a}nder, Christian}, title = {Bringing infrastructure into pricing in road freight transportation - A measuring concept based on navigation service data}, series = {Transportation Research Procedia}, volume = {25}, journal = {Transportation Research Procedia}, publisher = {Elsevier}, doi = {10.1016/j.trpro.2017.05.458}, pages = {794 -- 805}, abstract = {Differences in road infrastructure, such as capacity, congestion, speed limits affect the productivity and the costs of short-distance freight operations. This article introduces a novel methodology that is based on navigation service data to measure the effects in terms of cost per kilometer using navigation and shipment data. The methodology is applied to five terminals of a forwarding cooperation and has been able to document significant differences in cost per kilometer across the terminals. The research results can be used by logistics service providers to better understand how productivity and thus profitability is affected by the quality of the transportation infrastructure in the particular areas they operate in. Furthermore, the insights will help these companies for better, i.e. cost-based pricing and will allow to document why and where prices need to be adapted.}, language = {en} } @incollection{KellnerLienlandLukesch, author = {Kellner, Florian and Lienland, Bernhard and Lukesch, Maximilian}, title = {Produktionsfaktoren}, series = {Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, booktitle = {Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, publisher = {Springer Gabler}, address = {Berlin; Heidelberg}, isbn = {978-3-662-65802-4}, doi = {10.1007/978-3-662-65803-1_2}, pages = {31 -- 158}, abstract = {Kap. 2 bespricht die Produktionsfaktoren Mensch, Betriebsmittel und Material sowie den Faktor „Information" als Grundlage der betrieblichen Leitung. Der Abschnitt "Produktionsfaktor Mensch" beschreibt u. a. Maßnahmen zur Erh{\"o}hung der menschlichen Arbeitsleistung durch eine entsprechende Arbeits- und Lohngestaltung. Beim Produktionsfaktor Betriebsmittel werden Organisationstypen der Fertigung diskutiert und Detailprobleme vorgestellt, die sich durch die Wahl eines bestimmten Organisationstyps ergeben. Der Abschnitt Produktionsfaktor Material zeigt, welche Profitabilit{\"a}tswirkung durch eine Materialstandardisierung erreicht werden kann und wie sich Materialien klassifizieren lassen, um geeignete Dispositionsstrategien abzuleiten. Danach wird auf die von der betrieblichen Leitung genutzten Informationen und Informationssysteme eingegangen. Dabei wird zun{\"a}chst eine typische industrielle IT-Systemlandschaft mit Fokus auf Supply-Chain-Management-Systeme vorgestellt und abschließend die Informationstr{\"a}ger „St{\"u}ckliste" und „Arbeitsplan" besprochen.}, language = {de} } @article{KellnerLienlandUtz, author = {Kellner, Florian and Lienland, Bernhard and Utz, Sebastian}, title = {An a posteriori decision support methodology for solving the multi-criteria supplier selection problem}, series = {European Journal of Operational Research}, volume = {272}, journal = {European Journal of Operational Research}, number = {2}, publisher = {Springer}, doi = {10.1016/j.ejor.2018.06.044}, pages = {505 -- 522}, abstract = {This research presents a novel, state-of-the-art methodology for solving a multi-criteria supplier selection problem considering risk and sustainability. It combines multi-objective optimization with the analytic network process to take into account sustainability requirements of a supplier portfolio configuration. To integrate 'risk' into the supplier selection problem, we develop a multi-objective optimization model based on the investment portfolio theory introduced by Markowitz. The proposed model is a non-standard portfolio selection problem with four objectives: (1) minimizing the purchasing costs, (2) selecting the supplier portfolio with the highest logistics service, (3) minimizing the supply risk, and (4) ordering as much as possible from those suppliers with outstanding sustainability performance. The optimization model, which has three linear and one quadratic objective function, is solved by an algorithm that analytically computes a set of efficient solutions and provides graphical decision support through a visualization of the complete and exactly-computed Pareto front (a posteriori approach). The possibility of computing all Pareto-optimal supplier portfolios is beneficial for decision makers as they can compare all optimal solutions at once, identify the trade-offs between the criteria, and study how the different objectives of supplier portfolio configuration may be balanced to finally choose the composition that satisfies the purchasing company's strategy best. The approach has been applied to a real-world supplier portfolio configuration case to demonstrate its applicability and to analyze how the consideration of sustainability requirements may affect the traditional supplier selection and purchasing goals in a real-life setting.}, language = {en} } @article{IglKellner, author = {Igl, Johannes and Kellner, Florian}, title = {Exploring greenhouse gas reduction opportunities for retailers in Fast Moving Consumer Goods distribution networks}, series = {Transportation Research Part D: Transport and Environment}, volume = {50}, journal = {Transportation Research Part D: Transport and Environment}, publisher = {Elsevier}, doi = {10.1016/j.trd.2016.10.008}, pages = {55 -- 69}, abstract = {This research explores logistics-related leverages in the responsibility of retailers for improving the environmental performance of a Fast Moving Consumer Goods (FMCG) distribution network. We examine opportunities for modifying the network carbon footprint by changing network design variables. To do so, a quantitative distribution network model is established, and 150 scenarios are calculated by modifying real-world shipment data from an existing multinational FMCG manufacturer. Four distribution variables are identified for a many-to-many and a hub-and-spoke network structure. Two variables affect the distribution network and two interfere in the shipment structure by manipulating weight and/or the delivery date. This research sheds light on the extent of the changes in greenhouse gas (GHG) emissions of the distribution network that result from modifications in the logistics variables. The greatest effect on the quantity of GHG emissions can be observed when an anticipation horizon for orders is introduced. When shipments are consolidated and delivered only weekly or biweekly from the manufacturer to the retailers, GHG emissions drop significantly. Another opportunity for retailers to cut down GHG emissions is based on the concept of minimum order quantities where shipments to a retailer location are bundled until a certain weight is reached. Additionally, total GHG emissions of distribution may be reduced by raising the tonnage limit, thereby triggering direct shipments between the manufacturer's facilities and the retailer locations, or by raising the tonnage limit, which triggers direct shipments in the logistics service provider network. The extent of GHG reduction is assessed for all investigated variables.}, language = {en} } @article{KellnerIgl, author = {Kellner, Florian and Igl, Johannes}, title = {Estimating the effect of changing retailing structures on the greenhouse gas performance of FMCG distribution networks}, series = {Logistics Research}, volume = {4}, journal = {Logistics Research}, number = {3-4}, publisher = {Springer Nature}, doi = {10.1007/s12159-012-0063-3}, pages = {87 -- 99}, abstract = {The assessment of greenhouse gas (GHG) emissions of supply chain activities is performed to create transparency across the supply chain and to identify emission-cutting opportunities. Literature provides several generic and case study approaches to estimate GHG emissions. But research often focuses on products. This paper sheds light on how the greenhouse performance of a fast-moving consumer goods (FMCG) distribution network depends on several (FMCG specific) variables to set up a "CO2 network footprint". Within a quantitative computational study, the distribution network footprint of an existing FMCG manufacturer is analyzed. Three options being fundamentally able to reduce total GHG emissions are identified: number of distribution centers, performance of the engaged logistics service provider and shipment structure. First, transportation processes for the investigated FMCG manufacturer are analyzed to derive GHG emissions caused by different distribution shipments. Second, initial data are manipulated to simulate variable changes, that is, different logistics structures. Third, results are reported and analyzed to show up how different changes in logistics structures may reduce GHG, without technological propulsion or use of regenerative energy.}, language = {en} } @article{Kellner, author = {Kellner, Florian}, title = {Exploring the impact of traffic congestion on CO2 emissions in freight distribution networks}, series = {Logistics Research}, volume = {9}, journal = {Logistics Research}, publisher = {Springer Nature}, doi = {10.1007/s12159-016-0148-5}, abstract = {This research quantifies the impact that regular road traffic congestion has on the CO2 emissions of a real-world distribution network, and it studies the consequences when the number of distribution centers changes. For this purpose, this study makes use of a network model allowing for a detailed representation of all relevant transport operations, including production flows between factories and distribution centers, line haul shipments between distribution centers and customers, and round/delivery trips between transshipment points and retailer locations for the last mile. The processed trip and traffic information does not rely on standard traffic data collection approaches, such as interviews, in situ technologies, or floating car data, but the road traffic data are retrieved from an online navigation service, such as Bing Maps, Google Maps, Inrix, Here, and TomTom. This study proves that online navigation services may considerably contribute to future research projects analyzing CO2 sensitivities and greenhouse gas cutting opportunities in logistics networks.}, language = {en} } @article{KraftQuaysonKellner, author = {Kraft, Sarah Katharina and Quayson, Matthew and Kellner, Florian}, title = {Assessing the German Act on Corporate Due Diligence Obligations in Supply Chains: a perspective from the smallholder cocoa farmer}, series = {Frontiers in Sustainability}, volume = {5}, journal = {Frontiers in Sustainability}, publisher = {frontiers}, doi = {10.3389/frsus.2024.1376619}, abstract = {This research examines the potential outputs, outcomes, and impacts of the German Act on Corporate Due Diligence Obligations in Supply Chains (LkSG) on the smallholder cocoa farmers in West Africa. The study primarily relies on a literature review and an impact pathway to conduct a systematic analysis to identify the potential effects of the LkSG on smallholder cocoa farmers. The findings indicate that some, but not all of the risks addressed by the LkSG align with those faced by smallholder cocoa farmers and their families. Additionally, the research also reveals weaknesses, particularly in managing environmental risks, which the LkSG does not adequately cover. Our findings show that in the short- and medium-term, the LkSG has no potential effects on smallholder cocoa farmers. Furthermore, the potential positive impacts of the law on smallholder cocoa farmers will take a long time to realize, as the LkSG considers primarily tier-1 suppliers. Companies in Germany might reassess their supply chains to strive for an LkSG-risk-free supply chain, which could in the long term have sustained impacts on smallholder cocoa farmers. However, we recommend a comprehensive risk analysis of the cocoa supply chain to enhance the human rights of cocoa farmers.}, language = {en} } @inproceedings{KellnerSchroder, author = {Kellner, Florian and Schroder, Nadine}, title = {Location Planning \& Analysis Using Uncertain Data}, series = {2021 International Conference on Decision Aid Sciences and Application (DASA), 07-08 December 2021, Sakheer, Bahrain}, booktitle = {2021 International Conference on Decision Aid Sciences and Application (DASA), 07-08 December 2021, Sakheer, Bahrain}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-1634-4}, doi = {10.1109/DASA53625.2021.9682323}, pages = {720 -- 723}, abstract = {In today's big data era, a humongous amount of data are collected from various sources. In many cases, these data are incomplete, imprecise, and uncertain. An illustrative example is the OpenStreetMap project, where users all over the world contribute data on a more or less precise and complete level. This research shows whether these data are suited to support management decisions. A real-world example demonstrates the extent to which location decisions of a fast-food restaurant chain can be reproduced using techniques from the field of advanced analytics. The problem deals with classifying potential locations and comparing the predicted locations with the actual ones. The data used for this example are retrieved from the OpenStreetMap project. We find that the OpenStreetMap data are generally suitable for predicting location decisions. However, the choice of the data analytics technique is crucial. In our illustrative example case, boosted trees resulted in the best forecast, thereby outperforming neural networks, classic trees, and logit models.}, language = {en} } @article{KraftKellner, author = {Kraft, Sarah Katharina and Kellner, Florian}, title = {Can Blockchain Be a Basis to Ensure Transparency in an Agricultural Supply Chain?}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {13}, publisher = {MDPI}, doi = {10.3390/su14138044}, abstract = {Many supply chains within developing countries lack transparency and are fraught with fraud, corruption, and a substantial number of intermediaries. For several decades, the cocoa sector has faced multiple social, economic, and environmental challenges, some of which include the issue of child labor and very low incomes for farmers, leading to poor living conditions. Blockchain technology has a high potential to reduce—or completely eradicate—some of these hurdles. In this article, we present a blockchain-based solution based on the open-source framework Hyperledger Fabric for the cocoa supply chain to promote transparency and reduce fraud. In doing so, we explicitly describe how farmers can be directly integrated into the whole blockchain solution considering the limited infrastructure, knowledge, and technologies available to them. Since about 70\% of all cocoa worldwide is produced in West Africa, this case study uses the cocoa sector in Ghana as an example.}, language = {en} } @article{KellnerOtto, author = {Kellner, Florian and Otto, Andreas}, title = {Allocating CO2 emissions to shipments in road freight transportation}, series = {Journal of Management Control}, volume = {22}, journal = {Journal of Management Control}, number = {4}, publisher = {Springer}, doi = {10.1007/s00187-011-0143-6}, pages = {451 -- 479}, abstract = {Logistic activity, in particular transportation, produces green house gases (GHG). For different purposes GHG need to be allocated to objects. This paper studies how to allocate the GHG volume of a transportation process (delivery tour) to the single shipments moved by the process. First, it identifies classes of generic allocation schemes and presents 15 allocation methods. Second, since the majority of these methods has not been designed for allocating GHG, we apply and compare them in the short distance transport context within a numerical example. The aim is to study how the schemes perform according to criteria. We suggest using causality, efficiency, empty core robustness, symmetry, individual rationality, coalition stability, ease of application, and set robustness as appraisal criteria and attempt to mainstream the discussion by recommending selected allocation methods.}, language = {en} } @incollection{LukeschKellner, author = {Lukesch, Maximilian and Kellner, Florian}, title = {Geoinformationssysteme f{\"u}r Logistikmanager: Eine praxisorientierte Einf{\"u}hrung am Beispiel der Freeware QGIS}, series = {Praxishandbuch Logistik}, booktitle = {Praxishandbuch Logistik}, editor = {Pradel, Uwe-Heiner}, publisher = {Wolters Kluwer}, address = {K{\"o}ln}, language = {de} } @unpublished{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Sustainability in Supplier Selection and Order Allocation: Combining Integer Variables With Markowitz Portfolio Theory}, series = {SSRN Electronic Journal}, journal = {SSRN Electronic Journal}, publisher = {SSRN}, doi = {10.2139/ssrn.3296016}, abstract = {This research presents a decision support methodology for the multi-criteria supplier selection and order allocation problem. The proposed approach supports purchasing managers in assembling mid-term supplier portfolios while making them aware of the trade-offs between the supplier sustainability, the purchasing costs, and the overall supply risk. First, we propose a multi-objective optimization model with three objectives: to maximize the supplier sustainability, to select the supplier portfolio with the lowest purchasing costs, and to minimize the supply risk. Our model extends existing mathematical approaches that follow the portfolio theory fathered by H. Markowitz by integrating the aspect 'risk' into the supplier selection problem. Secondly, since we allow for integer variables in our model — in contrast to the classical Markowitz portfolio theory — we use the ε-constraint method to visualize the efficient surface. The possibility of considering the non-dominated set of supplier portfolios is advantageous for purchasing managers as they gain a picture of the different optimal supplier portfolios and are able to analyze the trade-offs between the different purchasing goals before making a decision. Finally, we illustrate the applicability of the proposed methodology in a real-world supplier selection and order allocation case from the automotive industry. In the example case, we identify 1,754 optimal supplier portfolios that may be assembled based on the eight available suppliers. Our analyses show that each optimal portfolio consists of two suppliers, with one specific supplier being included in each portfolio. Furthermore, four suppliers are not part of any optimal solution.}, language = {en} } @unpublished{Kellner, author = {Kellner, Florian}, title = {Generating Greenhouse Gas Cutting Incentives when Allocating Carbon Dioxide Emissions to Shipments in Road Freight Transportation}, series = {SSRN Electronic Journal}, journal = {SSRN Electronic Journal}, doi = {10.2139/ssrn.3518014}, abstract = {Road freight transportation accounts for a great share of the anthropogenic greenhouse gas (GHG) emissions. In order to provide a common methodology for carbon accounting related to transport activities, the European Committee for Standardization has published the European Norm EN-16258. Unfortunately, EN-16258 contains in its current version some gaps and ambiguities and leaves room for interpretation, which makes the comparison of the environmental performance of different logistics networks still difficult and hinders the identification of best practices. This research aims to overcome the ambiguities of EN-16258 concerning the allocation of GHG emissions to shipments in road freight transportation. In detail, we apply concepts of the cooperative game theory to identify among all allocation units specified by EN-16258 the most meaningful one. In doing so, we continue previous research projects that analyzed two important aspects of the EN-16258 allocation rules: accuracy and fairness. This study provides further insights into this allocation problem by investigating the incentive power of the different allocation schemes to opt for the GHG minimal way of running a road freight transport network. First, we complement the list of transport scenarios introduced by the prior research projects and present two novel transport scenarios. Second, we carry out a series of numerical experiments to compare the performance of the EN-16258 allocation rules with respect to accuracy, fairness, and the GHG minimizing incentive. Across all aspects, and taking the findings of the prior research projects into account, we conclude that the distance-based allocation rule is the most meaningful one.}, language = {en} } @article{KunklerKellner, author = {Kunkler, Jan and Kellner, Florian}, title = {Sustainable City Evaluation Using the Database for Estimation of Road Network Performance}, series = {Sustainability}, volume = {15}, journal = {Sustainability}, number = {1}, publisher = {MDPI}, doi = {10.3390/su15010733}, abstract = {This article introduces the Database for Estimation of Road Network Performance (DERNP) to enable wide-scale estimation of relevant Road Network Performance (RNP) factors for major German cities. The methodology behind DERNP is based on a randomized route sampling procedure that utilizes the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) in combination with the tile-based HERE Maps Traffic API v7 and a digital elevation model provided by the European Union's Earth Observation Programme Copernicus to generate a large set of independent and realistic routes throughout OpenStreetMap road networks. By evaluating these routes using the PHEMLight5 framework, a comprehensive list of RNP parameters is estimated and translated into polynomial regression models for general usage. The applicability of these estimations is demonstrated based on a case study of four major German cities. This case study considers network characteristics in terms of detours, infrastructure, traffic congestion, fuel consumption, and CO2 emissions. Our results show that DERNP and its underlying randomized route sampling methodology overcomes major limitations of previous wide-scale RNP approaches, enabling efficient, easy-to-use, and region-specific RNP comparisons.}, language = {en} } @misc{LukeschKellner, author = {Lukesch, Maximilian and Kellner, Florian}, title = {Business Analytics and Big Data: Production, Logistics and Supply Chain Management}, series = {1. Regensburger Big Data Day, 30 Oktober 2018, Regensburg}, journal = {1. Regensburger Big Data Day, 30 Oktober 2018, Regensburg}, doi = {10.5283/epub.37889}, abstract = {Das Poster befasst sich mit dem Beitrag der Auswertung von "Big Data" f{\"u}r die Anwendungsbereiche der Produktion, der Logistik und des Supply Chain Management. Im Kern steht dabei die Anwendung von Business Analytics Methoden und die Umsetzung der Analytics-Ergebnisse in anwendungsorientierte Use Cases. Als Beispiele werden besprochen: Predictive Maintenance, Supply Chain Monitoring, Supply Chain Risk Management, Demand Forecasting.}, language = {en} } @book{KellnerBrabaender, author = {Kellner, Florian and Brab{\"a}nder, Christian}, title = {VBA mit Excel : Einf{\"u}hrung f{\"u}r Betriebswirte}, publisher = {Springer Gabler}, address = {Berlin}, isbn = {9783662597408}, doi = {10.1007/978-3-662-59740-8}, pages = {XI, 149}, abstract = {Dieses Buch bietet eine anwendungsorientierte Einf{\"u}hrung in die Programmierung mit Visual Basic for Applications (VBA) in Microsoft Excel. Es erm{\"o}glicht auch Einsteigern die selbstst{\"a}ndige L{\"o}sung kleiner bis mittelgroßer Programmieraufgaben aus dem betriebswirtschaftlichen Alltag. Der Schwierigkeitsgrad der Inhalte ist {\"u}berwiegend einfach gehalten, sodass Nutzer, die bereits grundlegende T{\"a}tigkeiten in MS Excel beherrschen, sich nach ihren jeweiligen Anforderungen entsprechend fortbilden k{\"o}nnen. Zahlreiche Praxisbeispiele und {\"U}bungen, die auf einem Windows-Betriebssystem entwickelt und getestet wurden, unterst{\"u}tzen das Lernen Schritt f{\"u}r Schritt und zeigen, wie hilfreich VBA durch Automatisierung und Individualisierung in jedem B{\"u}ro sein kann.}, language = {de} } @book{LukeschKellner, author = {Lukesch, Maximilian and Kellner, Florian}, title = {{\"U}bungsbuch Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, edition = {2., {\"u}berarbeitete und erweiterte Auflage}, publisher = {Springer Gabler}, address = {Berlin}, isbn = {978-3-662-62086-1}, doi = {10.1007/978-3-662-62087-8}, pages = {XVIII, 283}, abstract = {Dieses Buch bietet Studierenden mehr als 70 {\"U}bungsaufgaben und drei Fallstudien inklusive ausf{\"u}hrlicher L{\"o}sungen zu ausgew{\"a}hlten Themen der Produktionswirtschaft und Industrie 4.0. Jedes Kapitel enth{\"a}lt eine kurze Einleitung sowie zu erreichende Lernziele. Querverweise auf das Lehrbuch „Produktionswirtschaft" von Kellner/Lienland/Lukesch erleichtern das Selbststudium und erm{\"o}glichen eine optimale Pr{\"u}fungsvorbereitung. In der 2. Auflage wurden umfangreiche {\"U}berarbeitungen hinsichtlich Sprache und Aufbau von Aufgaben, L{\"o}sungswegen und Abbildungen vorgenommen sowie zahlreiche neue Aufgaben erg{\"a}nzt.}, language = {de} } @misc{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Using Inverse Optimization to Discover Sustainability Priorities in Purchasing Decisions}, series = {International Conference on Operations Research 2023 // 29. Aug. - 01. Sep. 2023, Hamburg}, journal = {International Conference on Operations Research 2023 // 29. Aug. - 01. Sep. 2023, Hamburg}, language = {en} } @misc{Kellner, author = {Kellner, Florian}, title = {Multi-objective supplier portfolio configuration under supply risk and sustainability considerations}, series = {International Conference on Operations Research (OR2017), September 2017, Berlin}, journal = {International Conference on Operations Research (OR2017), September 2017, Berlin}, language = {en} } @inproceedings{KellnerOttoBusch, author = {Kellner, Florian and Otto, Andreas and Busch, Andreas}, title = {Distribution Networks - Rigid Investments In Dynamic Environments}, series = {Flexibility and adaptability of global supply chains - Proceedings of the 7th German-Russian Logistics Workshop (DR-LOG 2012)}, booktitle = {Flexibility and adaptability of global supply chains - Proceedings of the 7th German-Russian Logistics Workshop (DR-LOG 2012)}, editor = {Ivanov, Dimitri and Sokolov, Boris and K{\"a}schel, Joachim}, address = {Sankt Petersburg}, pages = {103 -- 111}, language = {en} } @misc{Kellner, author = {Kellner, Florian}, title = {Visual decision support for the multi-objective supplier selection problem}, series = {International Conference on Multiple Objective Programming and Goal Programming (MOPGP), 30-31 October 2017, Metz, France}, journal = {International Conference on Multiple Objective Programming and Goal Programming (MOPGP), 30-31 October 2017, Metz, France}, language = {en} } @misc{KellnerUtz, author = {Kellner, Florian and Utz, Sebastian}, title = {Exploring Sustainability Priorities in Purchasing Decisions Based on Inverse Optimization}, series = {NAMA Conference 2023, 28.-29. Sep. 2023, Oldenburg}, journal = {NAMA Conference 2023, 28.-29. Sep. 2023, Oldenburg}, language = {en} } @article{KellnerKraftQuayson, author = {Kellner, Florian and Kraft, Sarah Katharina and Quayson, Matthew}, title = {Sustainable supplier evaluation under due diligence acts}, series = {Frontiers in Sustainability}, volume = {6}, journal = {Frontiers in Sustainability}, publisher = {Frontiers}, doi = {10.3389/frsus.2025.1677700}, pages = {15}, abstract = {The enactment of due diligence legislation, such as the German Act on Corporate Due Diligence Obligations in Supply Chains, in German Lieferkettensorgfaltspflichtengesetz (LkSG), is reshaping global supply chain management by compelling companies to tackle heightened human rights and environmental risks in their supply chain. This study addresses the need for a comprehensive sustainability supplier evaluation framework by employing a systematic literature review with an expert survey of practitioners from German companies subject to LkSG. This methodology aligns academic findings with real-world practice and legal requirements, enriching the literature with practical insights. The results reveal that business practice prioritizes economic and social dimensions, whereas the literature focuses on economic and environmental dimensions. Although the most relevant economic and environmental criteria are consistent across both domains, the key social criteria show a notable misalignment. Managers can utilize the most relevant sustainability supplier evaluation criteria identified in this study to promote sustainable supply chains and ensure compliance with due diligence requirements. This research also highlights the high relevance of human rights as a social criterion, a dimension that has been historically under-recognized or implicitly addressed in the literature.}, language = {en} } @book{KellnerLienlandLukesch, author = {Kellner, Florian and Lienland, Bernhard and Lukesch, Maximilian}, title = {Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, edition = {2., aktualisierte und erweiterte Auflage}, publisher = {Springer Gabler}, address = {Heidelberg}, doi = {10.1007/978-3-662-61446-4}, pages = {XXI, 399}, abstract = {Dieses Buch gibt einen umfassenden {\"U}berblick {\"u}ber wichtige Bereiche der Produktionswirtschaft. Der Schwerpunkt liegt auf dem operativen Produktionsmanagement. Es zeigt den Einsatz der Produktionsfaktoren Mensch, Betriebsmittel und Material, erkl{\"a}rt die Bedeutung von Informationen f{\"u}r die betriebliche F{\"u}hrung und bietet anhand zahlreicher Beispiele einen breiten Einblick in die Planung und Steuerung industrieller Produktion. Ausf{\"u}hrlich werden neben produktionswirtschaftlichen Grundlagen der Ablauf und Inhalt von Planungs- und Steuerungsprozessen erl{\"a}utert. Auch das aktuelle Thema Industrie 4.0 sowie cyber-physische Systeme werden dargestellt. In der 2. Auflage wurden umfangreiche {\"U}berarbeitungen hinsichtlich Sprache und Aufbau vorgenommen sowie anschauliche Beispielaufgaben, neue Unternehmensbeispiele und hilfreiche Hintergrunderkl{\"a}rungen erg{\"a}nzt.}, language = {de} } @book{KellnerLienlandLukesch, author = {Kellner, Florian and Lienland, Bernhard and Lukesch, Maximilian}, title = {Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, edition = {3., aktualisierte und erweiterte Auflage}, publisher = {Springer Gabler}, address = {Berlin}, isbn = {978-3-662-65802-4}, doi = {10.1007/978-3-662-65803-1}, pages = {XXI, 399}, abstract = {Dieses Buch bietet eine einsteigerfreundliche Einf{\"u}hrung in die f{\"u}r industrielle Betriebe maßgebliche Aufgabe der Produktionswirtschaft. Im Zentrum steht dabei das operative Produktionsmanagement. Hierzu geh{\"o}ren die erfolgswirksame Bewirtschaftung der Produktionsfaktoren Mensch, Betriebsmittel und Material, der Einsatz von Information sowie die Planung und Steuerung der industriellen Produktion. Mithilfe zahlreicher Unternehmensbeispiele und {\"U}bungsaufgaben wird der Leser durch produktionswirtschaftliche Grundlagen sowie durch Ablauf und Inhalt zentraler Prozesse in der Industrie geleitet. Auch die aktuelle Diskussion um das Thema Industrie 4.0 und cyber-physische Produktionssysteme werden lesefreundlich und mit konkretem Anwendungsbezug pr{\"a}sentiert.}, language = {de} } @book{KellnerLienlandLukesch, author = {Kellner, Florian and Lienland, Bernhard and Lukesch, Maximilian}, title = {Produktionswirtschaft : Planung, Steuerung und Industrie 4.0}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {9783662543412}, doi = {10.1007/978-3-662-54341-2}, pages = {XVII, 331}, abstract = {Dieses Buch gibt einen umfassenden {\"U}berblick {\"u}ber wichtige Bereiche der Produktionswirtschaft. Der Schwerpunkt liegt auf dem operativen Produktionsmanagement. Es zeigt den Einsatz der Produktionsfaktoren Mensch, Betriebsmittel, Material und Information und bietet anhand zahlreicher Beispiele einen ausf{\"u}hrlichen Einblick in die Planung und Steuerung industrieller Produktion. Ausf{\"u}hrlich werden neben produktionswirtschaftlichen Grundlagen der Ablauf und Inhalt von Planungs- und Steuerungsprozessen erl{\"a}utert. Auch das aktuelle Thema Industrie 4.0 sowie cyber-physische Systeme werden dargestellt.}, language = {de} } @phdthesis{FlorianKellner, author = {Florian Kellner,}, title = {Distribution Network Analysis for Fast Moving Consumer Goods}, publisher = {University of Regensburg}, address = {Regensburg}, isbn = {https://epub.uni-regensburg.de/32823/}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:355-epub-328237}, abstract = {This dissertation summarizes three reserach contributions that have been published in academic journals. The reserach analyzes economic and environmental sensitivites of Fast Moving Consumer Goods distribution networks.}, language = {en} } @incollection{FlorianKellnerMaximilianLukesch, author = {Florian Kellner, and Maximilian Lukesch,}, title = {Logistik nachhaltig gestalten: Die Bestimmung von CO2-Emissionen im Straßeng{\"u}tertransport}, series = {Praxishandbuch Logistik: Erfolgreiche Logistik in Industrie, Handel und Dienstleistungsunternehmen}, booktitle = {Praxishandbuch Logistik: Erfolgreiche Logistik in Industrie, Handel und Dienstleistungsunternehmen}, editor = {Uwe-H. Pradel, and Wolfram S{\"u}ssenguth, and Jochem Piontek, and Armin F. Schwolgin,}, publisher = {Dt. Wirtschaftsdienst}, address = {K{\"o}ln}, isbn = {978-3-87156-340-9}, abstract = {Dieser Beitrag gibt eine pr{\"a}gnante Einf{\"u}hrung in die Bestimmung von CO2-Emissionen im Straßeng{\"u}tertransport.}, language = {de} } @misc{Kellner, author = {Kellner, Florian}, title = {Supplier portfolio optimization}, series = {Ipsera Conference, April 2017, Balatonf{\"u}red/Budapest}, journal = {Ipsera Conference, April 2017, Balatonf{\"u}red/Budapest}, language = {en} } @incollection{KellnerOttoLienland, author = {Kellner, Florian and Otto, Andreas and Lienland, Bernhard}, title = {Cost Assignment Paradox: Indirect Tooling Costs and Production Orders}, series = {Advances in Management Accounting}, volume = {23}, booktitle = {Advances in Management Accounting}, publisher = {Emerald}, doi = {10.1108/S1474-787120140000023007}, pages = {211 -- 251}, abstract = {Purpose Tooling is a common component of an industrial product's manufacture. Specific tooling is devised to serve the fabrication of a particular product, while generic tooling can be used in the manufacture of multiple products. In the latter case, companies are confronted with the problem of fairly allocating the indirect costs of the tooling. This article studies how to allocate costs of generic tooling to single production orders. Methodology Ten allocation methods (AMs) are described that are in principle suited to the distribution of generic tooling costs to production orders. Since the presented methods have for the most part been discussed in differing contexts, we apply them to a specified generic tooling problem for comparison. Evaluation of the various methods is based on 16 criteria. Reasoning is supported by a computational Monte Carlo simulation. Furthermore, we suggest using the Analytical Hierarchy Process (AHP) to elaborate one final proposition concerning the most preferable allocation scheme. Findings The article reports the single allocation rules' performances for different allocation scenarios. The described characteristics refer to fairness, efficiency, and simplicity as well as to empty-core performance. Using AHP analysis allows for the aggregation of the rules' criteria ratings. Thus, especially suitable allocation schemes for the problem at hand are identified. Practical implications An allocation is required for budgeting reasons and also for the definition of projects' bottom-up sales prices. Selecting the "right" AM is important, as a suboptimal AM can result in unfair allocation vectors, which will act as incentives to stop using the common resource, potentially leading to higher total costs. Originality/value of the article Research on the comparison of AMs is typically performed for certain purposes, such as enterprise networks, horizontal cooperative purchasing scenarios, or municipal service units. This article will augment the research evaluating AMs by introducing a novel set of evaluation criteria and by providing an in-depth comparison of AMs suited for the allocation of generic tooling costs.}, language = {en} } @misc{Kellner, author = {Kellner, Florian}, title = {Business Analytics Anwendungen in der Logistik}, series = {Werkstoffe in der Fertigung : das Portal f{\"u}r die Fertigungswelt von morgen}, journal = {Werkstoffe in der Fertigung : das Portal f{\"u}r die Fertigungswelt von morgen}, abstract = {Der Begriff Business Analytics (BA) beschreibt die datengetriebene Analyse von Gesch{\"a}ftsprozessen. Ziel ist es, mittels IT-Einsatz und unter Anwendung mathematischer und statistischer Verfahren vergangenheits- und zukunftsorientierte Einblicke in ein Unternehmen zu erhalten um, darauf aufbauend, m{\"o}glichst optimale Handlungsempfehlungen abzuleiten. Die folgenden Ausf{\"u}hrungen sind dazu gedacht, dem Leser anhand logistischer Fragestellungen ein grunds{\"a}tzliches Verst{\"a}ndnis f{\"u}r den Begriff „Business Analytics" zu vermitteln.}, language = {de} }