@article{TerbrackFrankHerrmannetal., author = {Terbrack, Hajo and Frank, Ingo and Herrmann, Frank and Claus, Thorsten and Trost, Marco and G{\"o}tz, Matthias}, title = {A literature database on ecological sustainability in hierarchical production planning}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {12}, publisher = {AKWI}, issn = {2296-4592}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-23539}, pages = {36 -- 40}, abstract = {This article describes a systematic literature search of research articles on the topics of ecological sustainability and production planning. Over 900 research articles deal intensively with these topics. These articles were catalogued and included in a database. They can be evaluated with an analysis tool, developed by the research group. The tool is available free of charge via a website of the research group.}, language = {en} } @inproceedings{TrostForstnerClausetal., author = {Trost, Marco and Forstner, Robert and Claus, Thorsten and Herrmann, Frank and Frank, Ingo and Terbrack, Hajo}, title = {Sustainable Production Planning and Control: A Systematic Literature Review}, series = {Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy}, volume = {33,1}, booktitle = {Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy}, doi = {10.7148/2019}, pages = {303 -- 309}, abstract = {This article reviews the state of the art in research regarding sustainable extensions of hierarchical production planning. Sustainability is currently of considerable importance due to various interest groups. Hierarchical operational production planning and control is the state of the art in research as well as in industrial practice for planning of stations and their aggregations to production systems. Thus, it might be highly relevant to improve sustainability. In the literature mainly the scheduling level as well as the ecological dimension are considered. So the current research is limited to selected partial planning problems and incomplete with regard to sustainable aspects that emerge.}, subject = {Produktionsplanung}, language = {en} } @inproceedings{FrankHerrmannClaus, author = {Frank, Ingo and Herrmann, Frank and Claus, Thorsten}, title = {Improving sustainability through substitutes in cross-location production planning}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019), Dresden, September 3 - 6, 2019}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2019 (OR 2019), Dresden, September 3 - 6, 2019}, subject = {Produktionsplanung}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Employment of temporary workers and use of overtime to achieve volume flexibility using master production scheduling: monetary and social implications}, series = {Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom}, booktitle = {Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom}, editor = {Al-Begain, Khalid}, isbn = {978-3-937436-72-2}, doi = {10.7148/2021-0213}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24906}, abstract = {Flexibility and in particular volume flexibility is an important topic for industrial manufacturing companies. In this context, the harmonization of the available and required capacity is a central task, especially with increasing fluctuations in customer demand. In classical approaches , this is considered only by the use of additional capacities and there are only a few approaches that combine aspects of personnel planning with production planning. Therefore, this article presents a linear optimization model for master production scheduling that includes aspects of personnel requirements planning. It is used to investigate different strategies for the use of overtime and temporary workers in order to achieve different levels of volume flexibility. With regard to the monetary and social impacts, the results indicate that overtime has a stronger influence to achieve volume flexibility than the use of temporary workers. However, both are affected by substantial deficits in human working conditions. But the results also imply a promising potential for improving the social aspects without a significant increase in costs.}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Influence of Company Sizes in adapted Master Production Scheduling for Improving Human Working Conditions}, series = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020}, booktitle = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020}, editor = {Steglich, Mike}, publisher = {European Council for Modelling and Simulation}, isbn = {978-3-937436-68-5}, doi = {10.7148/2020-0287}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24817}, pages = {287 -- 293}, abstract = {Sustainability is an important topic in production plan-ning and control. This article contributes in particular the to further research on the social dimension. It pre-sents a linear optimisation model for Master Produc-tion Scheduling in order to improve human working conditions. Existing approaches have already identified a considerable potential for improvements. Further-more, this article analyses the influence of the compa-ny size on workload and costs using an application with a high proportion of manual activities. It is demonstrat-ed that human working conditions can be improved independently from the company size without increas-ing costs. In addition, smaller companies tend to have a higher exhaustion and the workload affects the total costs more in smaller companies. Therefore, smaller companies might benefit more from an improvement in human working conditions.}, language = {en} } @inproceedings{TerbrackHerrmannClaus, author = {Terbrack, Hajo and Herrmann, Frank and Claus, Thorsten}, title = {Deviation in Energy Consumption on Aggregate Production Planning Level in Industry Practice}, series = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020)}, booktitle = {Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020)}, editor = {Steglich, Mike}, isbn = {978-3-937436-68-5}, doi = {10.7148/2020-0334}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24804}, pages = {334 -- 340}, abstract = {In this article, we discuss energy consumption of producing firms on aggregate production planning. While almost constant energy consumption can be the case for a producing firm, highly fluctuating energy demand can occur as well. Together with volatile energy supply, e.g. due to renewable energy sources, this combination of fluctuating energy supply and demand can result in planning uncertainty and high energy costs. We propose different case studies in which such high deviation in the electricity consumption of a producing firm occurs due to aggregate production planning without appropriate consideration of energy consumption.}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {The Use of Simulation for Manufacturing Applications}, series = {Proceedings of the 12th International Conference on Advances in System Simulation, SIMUL 2020, 18.-22.10.2020 in Porto, Portugal}, booktitle = {Proceedings of the 12th International Conference on Advances in System Simulation, SIMUL 2020, 18.-22.10.2020 in Porto, Portugal}, publisher = {IARIA XPS Press}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24899}, abstract = {This paper summarizes six presentations in a session of the track "Use of Simulation for Manufacturing Applications". The research work deals with the following key issues of this track: Modelling of process problems in manufacturing; Solutions of planning problems in manufacturing; Simulation of processes in manufacturing. This publication shows that the contributions in this track address research questions that are of high importance for industrial practice as well as current research directions such as stochastic optimization or the efficient search of large solution spaces.}, language = {en} } @misc{Herrmann, author = {Herrmann, Frank}, title = {Simulation and Modelling in Supply Chains}, series = {13th International Conference on Advances in System Simulation, SIMUL 2021, October 03 - 07, 2021 in Barcelona, Spain}, journal = {13th International Conference on Advances in System Simulation, SIMUL 2021, October 03 - 07, 2021 in Barcelona, Spain}, publisher = {IARIA XPS Press}, language = {en} } @article{Herrmann, author = {Herrmann, Frank}, title = {Using Optimization Models for Scheduling in Enterprise Resource Planning Systems}, series = {Systems}, volume = {4}, journal = {Systems}, number = {1}, doi = {10.3390/systems4010015}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2036}, pages = {13}, abstract = {Companies often use specially-designed production systems and change them from time to time. They produce small batches in order to satisfy specific demands with the least tardiness. This imposes high demands on high-performance scheduling algorithms which can be rapidly adapted to changes in the production system. As a solution, this paper proposes a generic approach: solutions were obtained using a widely-used commercially-available tool for solving linear optimization models, which is available in an Enterprise Resource Planning System (in the SAP system for example) or can be connected to it. In a real-world application of a flow shop with special restrictions this approach is successfully used on a standard personal computer. Thus, the main implication is that optimal scheduling with a commercially-available tool, incorporated in an Enterprise Resource Planning System, may be the best approach.}, subject = {Enterprise-Resource-Planning}, language = {en} } @inproceedings{SelmairHanfeldClausetal., author = {Selmair, Maximilian and Hanfeld, Marc and Claus, Thorsten and Herrmann, Frank}, title = {Exploring Opportunities}, series = {Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors}, volume = {27}, booktitle = {Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors}, number = {2}, doi = {10.11128/sne.27.tn.10375}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2007}, pages = {97 -- 103}, abstract = {Motivated by the increasing share of renewable energy in the markets for energy commodities, this study has evaluated the potential for optimizing production planning by taking into account disposable options for procuring energy, in this case electricity. For this purpose, a material flow simulation study extended by an electricity price simulation has been executed to examine possible cost scenarios. Our findings support the notion of a potential for further research in new optimization models involving energy procurement as well as energy trading options}, subject = {Materialflussplanung}, language = {en} } @misc{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {A simulation analysis of Independent Requirements Consumption in Master Production Scheduling}, series = {ASIM Workshop, Trends in Computational Science and Engineering (ASIM TCSE 2012), February 13-14, 2012, Vienna University of Technology, Austria}, journal = {ASIM Workshop, Trends in Computational Science and Engineering (ASIM TCSE 2012), February 13-14, 2012, Vienna University of Technology, Austria}, abstract = {This poster presents purpose and function of the Independent Requirements Consumption in Master Production Scheduling and gives recommendations for its application. The approach of hierarchical production planning and its planning problems are explained. The problem of new customer requirements information between planning periods and solving options are shown. The solving option of Independent Requirements Consumption is focus of this poster. The algorithm of the Independent Requirements Consumption that is implemented in commercial Enterprise Resource Planning (ERP) systems like the SAP system is analyzed. The methods for analyzing the effects of the Independent Requirements Consumption are outlined. The scenarios for simulation studies are stated and compared to similar investigations. The simulation studies were performed on a simulation system at IPF that contains both a production planning and control system and a production. The extent of simulation analyses outreaches similar investigations, especially because of the variety of scenarios. For scenarios in which capacity is available to a sufficient extent, advice for setting the Independent Requirements Consumption parameters is given. It is pointed out that with production constrained scenarios, the necessity to level out production leads to problems. An algorithm to determine necessary inventory levels is presented. It is stated that straight advice for Independent Requirements Consumption parameter settings might not be possible with production constrained scenarios. Further analyses with production constrained scenarios as well as investigations concerning safety stocks in combination with Independent Requirements Consumption are current and future research topics at the Innovation Center for Production Logistics and Factory Planning.}, subject = {Produktonsplanung}, language = {en} } @misc{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {An Optimization Model for Production Scheduling with Energy Consumption and Energy-related Emissions}, series = {OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe}, journal = {OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe}, abstract = {Due to the scarcity of resources, rising costs as well as the further need for ecological improvement in industrial production, firms are increasingly motivated to take into account energy consumption in production planning. Associated with this, the consideration of energy-related emissions is becoming an additional point of interest for decisionmakers in both, economic and ecological terms. Based on an extensive systematic literature review, the study at hand presents a multicriterial scheduling problem that addresses tardiness, energy consumption and energy-related emissions in production scheduling. A model is introduced that takes into account job release dates, multiple machine states, a power demand threshold as well as time-varying emission conversion factors. Multiple case studies are analysed and the effects of different technological implementations as energy onsite generation and energy storage systems are evaluated. Furthermore, several price mechanisms regarding energy procurement and emission trading are discussed. Moreover, by coupling the optimization model to a discrete event simulation model, we are able to compare the model results to real case scenarios. First computational experiments have demonstrated that the model and its extensions can effectively reduce the environmental impact associated with production while simultaneously considering corresponding economic objectives. Based on the proposed approach, our research aims on answering the question with which economic trade-offs an ecological improvement in terms of energy consumption and emission output can be achieved in production.}, language = {en} } @misc{HerrmannDilefeld, author = {Herrmann, Frank and Dilefeld, Maximilian}, title = {Improving the scheduling of AGV and AMR using simulation}, series = {OR23, International Conference on Operations Research, August 29 to September 1, 2023, Hamburg}, journal = {OR23, International Conference on Operations Research, August 29 to September 1, 2023, Hamburg}, abstract = {Automated Guided Vehicles (AGV) and intelligent Autonomous Mobile Robots (AMR) are an important tool for designing a flexible Industry 4.0 shopfloor. Both types of Mobile Robots are usually deployed with a Fleet Management software to manage (transport) orders and vehicles together with other superordinate control systems. The planning tasks in the superordinate control system used by both AGVs and AMRs can be divided into Material Flow Management, Job Management, Vehicle Dispatching and Job Processing. Requests for supply and removal of material is issued by the stations and has to be combined to transport jobs. Alternatively, more complex system often user external Material Flow Controllers (e.g. MES). Jobs are collected in a queue and their execution order is determined. Vehicles which can execute the next job have to be identified and the best one is selected. Jobs are split into smaller tasks which are sent to the Mobile Robot and executed. For AGVs navigation functions are mostly integrated into the Fleet Manager as part of the Job Processing, while AMRs perform lower-level navigation functions directly on the vehicle and use the superordinate control system for implementing restrictions and traffic control functions. A need for further research and development was identified especially for decision-making algorithms within the Fleet Management. The goal is to compare existing and develop new strategies to solve the different planning problems. For the individual planning tasks different techniques have been discussed and used in research and practice. However, there is no universal best solution and different options must be compared in the context of the specific use case.}, language = {en} } @misc{HerrmannSchoenClausetal., author = {Herrmann, Frank and Schoen, Maximilian and Claus, Thorsten and Dai, Chenghao}, title = {Aggregate Production Planning under Risk of Disruption}, series = {OR 2024, International Conference on Operations Research 2024, September 3-6, 2024, Munich}, journal = {OR 2024, International Conference on Operations Research 2024, September 3-6, 2024, Munich}, abstract = {In recent years, large scale disruptions to global supply chains, like the Covid pandemic, a ship blocking the Suez canal or sanctions against Russia, have caused production to slow down or even to stand still, causing shortages and massive losses for affected businesses. Even if only specific companies were originally affected, shortages and delays rippled along the supply network. The established approach to deal with disruptions is to utilize safety stock and capacity to compensate for fluctuations in uncertain quantities like customer demand. This approach is tried and tested for small fluctuations. To address larger disruptions, like the above given, very high safety stock and capacity would be needed, which would lead to unnecessarily high costs. Resilience has often been viewed as an expensive capability that drives costs. Recent studies however advocate for the development of lean resilience concepts, creating new capabilities, which enable resilience and can deal with large fluctuations, reimagining resilience from the perspectives of efficiency and value creation. This contribution identifies gaps in current research and establishes structural deficits of approaches discussed in the literature regarding supply chains. Firstly, the need for rigorous, quantitative definitions of resilience and relevant disruptions is justified. Then, a stochastic model for aggregate production planning that includes capabilities to compensate for such large fluctuations along several dimensions is proposed. Lastly, this model is then applied to a case study pertaining to a realistic supply chain under the risk of large scale disruptions and the results of this approach are evaluated.}, language = {en} } @misc{Herrmann, author = {Herrmann, Frank}, title = {Scheduling of a real world filter production with lot-size 1}, series = {SIMUL 2020: The Twelfth International Conference on Advances in System Simulation, 18.-22.10.2020 in Porto, Portugal}, journal = {SIMUL 2020: The Twelfth International Conference on Advances in System Simulation, 18.-22.10.2020 in Porto, Portugal}, editor = {Herrmann, Frank and Parra, Lorena and Popescu, Manuela}, publisher = {IARIA XPS Press}, address = {Wilmington, DE, USA}, isbn = {978-1-61208-831-0}, pages = {1 -- 6}, abstract = {In industrial practice, a travelling crane on the ceiling of a factory hall transports products in process from one station to the next one in a production line. Due to space restrictions, there is no buffer between the stations. The production line at Fiedler Andritz, Regensburg in Germany, can be seen as an example of such a problem class. Such restrictions reduce the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Due to the high number of jobs as well as the goal of a simple algorithm, scheduling is always done by priority rules at the company site. The standard approach of using the net processing time causes poor results. A simulation of the processing time is suggested. In addition, several very relevant priority rules from the literature are modified by this simulated processing and significantly better results are obtained. Keywords-Simulation of processing time; scheduling, flowshop; no-buffer (blocking); no-wait; priority rules; real world application; filter production}, language = {en} } @article{Herrmann, author = {Herrmann, Frank}, title = {The Smart Factory and Its Risks}, series = {Systems}, volume = {6}, journal = {Systems}, number = {4}, publisher = {MDPI}, doi = {10.3390/systems6040038}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-1793}, pages = {1 -- 15}, abstract = {In this paper, the risks of a Smart Factory are to be examined and structured in order to be able to evaluate the status of the Smart Factory. This thesis thus serves as an overview of the technical components of a Smart Factory and the associated risks. The study takes a holistic view of the smart factory. The results show that the greatest need for action lies in the technological field. Thus, the topics of standardization, information security, availability of IT infrastructure, availability of fast internet and complex systems were prioritized. The organizational and financial risks, which also play an important role in a Smart Factory transformation, are addressed.}, subject = {Smart Factory}, language = {en} } @inproceedings{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {Simulation-based determination of capacity load factors for master production scheduling}, series = {Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany}, booktitle = {Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2610}, pages = {631 -- 640}, abstract = {This paper deals with the problem of varying capacity load factors in master production scheduling. A simulation system of a production planning and control system and of a production system is described and an approach to compute the capacity loads from the simulation results is developed. This approach is used to measure period-specific capacity load factors for master production scheduling. The measured capacity load factors vary over time and show that the common assumption of the load factors being period-independent is inappropriate. A stochastic programming model to cope with this variation is described. This model is compared to a common linear programming model for master production scheduling in a simulation experiment. The results show that the use of the measured capacity load factor scenarios improves the quality of the estimation of the capacity load factors significantly.}, subject = {PPS}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Simulation of the control of exponential smoothing by methods used in industrial practice}, series = {Proceedings of the 26th EUROPEAN Conference on Modeling and Simulation, May 29th - June 1st, 2012, Koblenz, Germany}, booktitle = {Proceedings of the 26th EUROPEAN Conference on Modeling and Simulation, May 29th - June 1st, 2012, Koblenz, Germany}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2262}, pages = {7}, abstract = {Demands of customers for products and of the production for parts are being forecasted quite often in companies. The results are used extensively within the operational production planning and control by IT Systems like the SAP system. Hereby preferably methods based on exponential smoothing are being applied. Especially, in industrial practice it is expected that the pattern of the data change over time in such a way, that the parameters of the exponential smoothing have to be changed. In some companies thousands of items require forecasting, which is very laborious. With an adaptive method the parameters are modified in a controlled manner, as changes in the pattern occur. Two adaptive methods used in industrial practice are explained. Simulation experiments over a huge number of periods show when they should be used.}, subject = {PPS}, language = {en} } @inproceedings{LangeHerrmannClaus, author = {Lange, Frederick and Herrmann, Frank and Claus, Thorsten}, title = {Simulation based clearing functions for a model of order release planning}, series = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, booktitle = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, {\AA}lesund, Norway}, doi = {10.7148/2013-0741}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2205}, pages = {741 -- 747}, abstract = {In capacitated production systems at high utilization there exists a nonlinear relationship between the orders which are in process and the output. This nonlinear relationship can be described by nonlinear Clearing Functions. We show how a Clearing function will be estimated and integrate it into a model of order releases planning. We compare our model with two inventory management policies under different demand conditions.}, subject = {Auftragsabwicklung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Simulative analysis of the performance in the handling of goods for a small sized highbay warehouse by storage strategies}, series = {Grundlagen, Methoden und Anwendungen in Modellbildung und Simulation : ASIM 2011, 21. Symposium Simulationstechnik ; 7. - 9. September 2011, ZHAW, Winterthur, Schweiz ; Abstractband ; [Tagungsband]}, booktitle = {Grundlagen, Methoden und Anwendungen in Modellbildung und Simulation : ASIM 2011, 21. Symposium Simulationstechnik ; 7. - 9. September 2011, ZHAW, Winterthur, Schweiz ; Abstractband ; [Tagungsband]}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-2355}, pages = {10 S.}, subject = {Hochregallager}, language = {en} } @inproceedings{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {Simulation of robust Master Production Scheduling in an industrially relevant planning environment}, series = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, {\AA}lesund, Norway}, booktitle = {Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, {\AA}lesund, Norway}, doi = {10.7148/2013-0794}, pages = {794 -- 800}, abstract = {This paper presents a simulation analysis on the effects of robust master production scheduling. Up to now, relatively highly aggregated planning models for robust master production scheduling were regarded and the realizability of the planning results was not considered. This paper analyses a more detailed model for master production scheduling than in previous works. The evaluation of the planning results is made by providing the planning results to the subsequent planning levels in a hierarchical production planning system and realizing them in a realistic production system. The primary objective of the production system is to minimise tardiness of customer order deliveries. The secondary objective is to minimise inventory of end products. It is shown that robust master production scheduling in such a planning system leads to significant reductions of tardiness of customer order shipment. Compared to an equivalent deterministic approach for master production scheduling, the mean customer order backlog is reduced more than the mean inventory levels are increased.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @inproceedings{EnglbergerHerrmannClaus, author = {Englberger, Julian and Herrmann, Frank and Claus, Thorsten}, title = {Independent Requirements Consumption in Master Production Scheduling in an Uncapacitated Environment}, series = {Informatics, Microsystems, Information Systems. Proceedings. 2012}, volume = {Vol. 1(1)}, booktitle = {Informatics, Microsystems, Information Systems. Proceedings. 2012}, isbn = {9785733909301}, subject = {Produktionsplanung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Forecasting in production planning by adaptive exponential smoothing methods}, series = {Proceedings of the 25th European Conference on Operational Research (EURO XXV), Vilnius, Lithuania, 8-11 July, 2012}, booktitle = {Proceedings of the 25th European Conference on Operational Research (EURO XXV), Vilnius, Lithuania, 8-11 July, 2012}, subject = {Produktionsplanung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Scheduling a flow-shop with simultaneously loaded stations}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2012,(OR 2012), September 4 - 7, Hannover}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2012,(OR 2012), September 4 - 7, Hannover}, subject = {Fließfertigung}, language = {en} } @inproceedings{Herrmann, author = {Herrmann, Frank}, title = {Simulative analysis of storage strategies for pallet warehouses}, series = {Informatics, Microsystems, Information System, Proceedings, 2012}, volume = {Vol. 1(1)}, booktitle = {Informatics, Microsystems, Information System, Proceedings, 2012}, subject = {Palette }, language = {en} }