@inproceedings{JanssenHerrmannClaus, author = {Janssen, Larissa and Herrmann, Frank and Claus, Thorsten}, title = {Beitrag zur Abfallreduktion mittels mathematischer Optimierung und simulationsbasierter Validierung}, series = {Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany}, booktitle = {Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany}, abstract = {Perishable goods with a shelf life of 3-5 days require frequent inventory controls in the food retail trade. Maintaining a high service level for these products in stores is difficult due to demand uncertainty. A high service level often leads to a lot of stock in stores. In case it is not sold, it is waste. As an approach towards waste volume reduction, the economic order quantity (EOQ) problem is optimised in combination with the delivery frequency problem on the basis of the microperiods, i.e. morning, midday, afternoon, and evening. The presented model is designed for multiple stores with one regional warehouse. The simulation model measures the waste volume in stores. Experiments show that the combined optimisation of both problems leads to a reduction of total costs and waste volume.}, subject = {Bestandsmanagement}, language = {de} } @inproceedings{SelmairHerrmannClausetal., author = {Selmair, Maximilian and Herrmann, Frank and Claus, Thorsten and Teich, Enrico}, title = {Potential of Reducing the Total Energy Consumption by Scheduling a Jobshop Production System}, series = {Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany}, booktitle = {Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany}, pages = {375 -- 384}, abstract = {This research paper has evaluated the potential of reducing energy consumption by scheduling jobshop production systems with machines using standby modes in free times. The initial introduction of the planning issue is followed by a description of the approach to assess the available potential. Subsequently, the research procedure by means of simulation, a detailed discussion of the results and a perspective on future research is given. Moreover, the notion that scheduling influences the energy consumption in jobshop production systems is supported. The presented simulation research also documents that there is no direct correlation between energy consumption and total lead time, although this was presumed usually. Finally, this paper provides a forecast for a possible optimisation model as well as an exemplary model with an energy-optimised schedule plan.}, subject = {Produktionsplanung}, language = {en} } @inproceedings{SelmairClausTrostetal., author = {Selmair, Maximilian and Claus, Thorsten and Trost, Marco and Bley, Andreas and Herrmann, Frank}, title = {Job Shop Scheduling with Flexible Energy Prices}, series = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation, May 31st - June 3rd, 2016, Regensburg, Germany}, booktitle = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation, May 31st - June 3rd, 2016, Regensburg, Germany}, doi = {10.7148/2016-0488}, abstract = {The rising energy prices - particularly over the last decade - pose a new challenge for the manufacturing industry. Reactions to climate change, such as the advancement of renewable energies, raise the expectation of further price increases and variations. Regarding the manufacturing industry, production planning and controlling can have a significant influence on the in-plant energy consumption. In this paper, we develop a scheduling method as a linear optimization model with the objective to minimize energy costs in a job shop production system.}, subject = {Job Shop Scheduling}, 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{LangeHerrmannClaus, author = {Lange, Frederick and Herrmann, Frank and Claus, Thorsten}, title = {Simulation based capacity estimation for a model of order release planning under the consideration of service levels}, 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}, isbn = {978-0-9564944-6-7}, pages = {741 -- 747}, abstract = {Clearing Functions describe the nonlinear relationship between the orders which are in process and the output in capacitated productions systems under high utilization. These Clearing Function can be derived analytical by using steady-state queuing models or empirical by using simulation. We show how to estimate a Clearing Function for a single-level multi-product production system by using a simulation model. This non-linear Clearing Function is integrated into a model of order release planning. We extend this model to consider the uncertainty of the demand by using a Beta service level. We compare our model with an inventory management policy under different demand conditions.}, language = {en} } @inproceedings{TrostClausTeichetal., author = {Trost, Marco and Claus, Thorsten and Teich, Enrico and Herrmann, Frank}, title = {Die soziale Dimension in der nachhaltigen hierarchischen Produktionsplanung - Stand der Forschung und Ans{\"a}tze zur Weiterentwicklung bestehender Planungsmodelle}, series = {Proceedings zur NAMA 2016 (NAMA 2016), October 5th - 7th, 2016, Dresden, Germany}, booktitle = {Proceedings zur NAMA 2016 (NAMA 2016), October 5th - 7th, 2016, Dresden, Germany}, pages = {4 S.}, abstract = {Bei der Produktionsplanung steht die Optimierung des Produktionssystems eines Unternehmens im Vordergrund. In diesem Beitrag wird auf Basis der hierarchischen Produktionsplanung aufgezeigt, dass neben {\"o}konomischen und {\"o}kologischen Aspekten insbesondere auch soziale Effekte bei der Entscheidungsfindung zu ber{\"u}cksichtigen sind. Dazu werden f{\"u}r die Hauptproduktionsprogrammplanung, die Losgr{\"o}ßenplanung und die Ressourcenbelegungsplanung dargelegt, welche sozialen Gr{\"o}ßen ber{\"u}cksichtigt werden k{\"o}nnen beziehungsweise bereits ber{\"u}cksichtigt sind. {\"U}berdies wird ein Modellansatz zur Hauptproduktionsprogrammplanung vorgestellt, der auf die Beseitigung identifizierter Forschungsl{\"u}cken abzielt.}, subject = {Hierarchische Produktionsplanung}, language = {de} } @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{TerbrackHerrmannClaus, author = {Terbrack, Hajo and Herrmann, Frank and Claus, Thorsten}, title = {Determining an optimal energy demand range within master production scheduling}, 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 = {Master production scheduling with consideration of social aspects for networking with human resources requirements planning}, series = {Proceedings of the International Annual Conference of the German Operations Research Society 2018 (OR 2018), Br{\"u}ssel, September 12 - 14, 2018}, booktitle = {Proceedings of the International Annual Conference of the German Operations Research Society 2018 (OR 2018), Br{\"u}ssel, September 12 - 14, 2018}, abstract = {A large number of current research focuses on the sustainable orientation of business processes. However, it is often neglected that, next to the ecological and economic dimension, the social dimension is also an important pillar of sustainability. Therefore, the intended contribution focuses on the integration of social aspects into the Master Production Scheduling and thus achieves a network between production planning and human resources requirements planning. The study shows that previous papers on production planning and control usually ignore the social dimension. Exceptions are works that take advantage of learning and forgetting effects at the lot-sizing and scheduling. In addition, there are various papers in the scheduling area which aim to reduce employee workload by optimizing resource allocation. Thus, however, only an optimal distribution of burden is achieved. Therefore, this paper presents a long-term management of the burden. To this end, the classic Master Production Scheduling, which has been statically limited in terms of capacity, whereby additional capacities have been used, will be expanded. At the same time, human resources requirements planning is based on assumptions regarding the expected capacity requirements. The created linear optimization model, addresses these weak points. A flexible available capacity is integrated on the basis of existing sales orders. It is making possible, to build up and reduce capacities, whereby technical restrictions (number of workplaces) and labor market conditions (number of available employees, qualification of employees and experience of employees) are also mapped. This represents a significant progress compared to previous models, whereby the target function minimizes costs. Further progress has been made in investigating the effects of exhaustion. The ratio of capacity requirements to available capacity was controlled externally as employee utilization and processing times dependent on the employee's utilization were taken into account. Subsequently, different utilization situations were examined under the assumption of different exhaustion and random demand patterns with the aim of determining an optimal employee utilization. A key finding of this study is that - contrary to common assumptions - achieving cost benefits is not necessarily associated with maximizing utilization, but rather with controlling employee utilization. An additional effect results from the reduction of the employee burden. However, the flexible capacity available does not limit the performance of the production system. In addition, we are currently working on the investigation of effects in a long-term planning horizon and of consequences for the downstream planning levels of production planning and control. Overall, the contribution presents an innovative research project that aims to integrate social aspects into production planning in order to make a contribution to truly sustainable models in the future.}, subject = {Produktionsplanung}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Adapted Master Production Scheduling: Analysis on the impact of relevant social performance indicators from the GRI standard}, 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}, abstract = {The sustainable development of processes is currently an important topic in industry and science. Various interest groups and other factors like resource shortages or a lack of skilled workers drive this trend. In the area of Production and Operation Management, the integration of sustainable aspects is also becoming more and more important. However, mainly ecological aspects are considered. Thus, this contribution expands the previous research by the integration of social aspects. For this, we limit our research to the Master Production Scheduling as part of operational production planning. In the context of sustainability, the Global Reporting Initiative (GRI) Standard has established itself for companies and other organisations to report on their sustainability activities. It is the first and most widely adopted global standards for sustainability reporting. The aim of this standard is to measure the sustainable performance and in this way, sustainability activities can be oriented to specific performance indicators. Accordingly, the GRI standard enables concrete initiatives to improve social, environmental and economic conditions for everyone. The modular standard comprises 36 standard modules. For this paper, the 19 social modules were analysed and relevant indicators that could be influenced by the Master Production Scheduling were identified. One of the important indicators from the GRI standard for our research question is the use of employees, measured in terms of hiring and employee turnover. The long-term employee commitment and thus low fluctuation will become a competitive advantage in the future, which is enhanced by the demographic change and the lack of skilled workers. In order to integrate these aspects based on the GRI standard, the classic formulation of Master Production Scheduling is extended. For this a control of the employee utilization within concrete utilization intervals as well as dependent processing times due to different exhaustion effects were integrated. Additionally, in order to take into account the requirements of a flexible production and to model the use of employees, aspects of personnel requirements planning are considered as well, which enable the build-up and reduction of capacity. As a result, social and economic consequences of related production scenarios are presented. In this context, a conflict of targets arises especially with macroeconomic fluctuations. On the one hand, shortages and inventories should be avoided from an economic point of view. On the other hand, a low and constant work intensity as well as a constant number of staff should be preferred for long-term employee commitment. Accordingly, the ability of the model to examine these questions, which will become more and more important for industrial enterprises in the future, becomes clear. Furthermore, it can be seen that it is possible to improve social aspects by adapted production planning without neglecting economic targets.}, subject = {Produktionsplanung}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Limitation of Temporary Employment in the Master Production Scheduling}, series = {Liberec Economic Forum 2021: Proceedings of the 15th International Conference}, booktitle = {Liberec Economic Forum 2021: Proceedings of the 15th International Conference}, editor = {Antlov{\´a}, Klara and Semer{\´a}dov{\´a}, Tereza}, edition = {1. Aufl.}, address = {Liberec, Czech Republic}, isbn = {978-80-7494-578-6}, pages = {201 -- 209}, language = {en} } @inproceedings{TerbrackClausGoetzetal., author = {Terbrack, Hajo and Claus, Thorsten and G{\"o}tz, Matthias and Herrmann, Frank and Selmair, Maximilian}, title = {Analyse von konventionellen Priorit{\"a}tsregeln zur Reduktion von CO2-Emissionen durch den Einsatz von Photovoltaikanlagen}, series = {Simulation in Produktion und Logistik 2021: Erlangen, 15.-17. September 2021}, booktitle = {Simulation in Produktion und Logistik 2021: Erlangen, 15.-17. September 2021}, editor = {Franke, J{\"o}rg and Schuderer, Peter}, publisher = {Cuvillier Verlag}, address = {G{\"o}ttingen}, isbn = {978-3736974791}, pages = {75 -- 84}, language = {de} } @inproceedings{ForstnerClausHerrmann, author = {Forstner, Robert and Claus, Thorsten and Herrmann, Frank}, title = {Anwendung eines Energieabnahmekorridors auf der Ebene der Hauptproduktionsprogrammplanung}, series = {Russian Journal of Applied Sciences}, booktitle = {Russian Journal of Applied Sciences}, publisher = {A. A. Kuleshov MSU}, address = {Mogilev}, pages = {95 -- 98}, language = {de} } @article{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Energy-Oriented Production Planning in Industry}, series = {Sustainability}, volume = {13}, journal = {Sustainability}, number = {23}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/su132313317}, pages = {1 -- 32}, abstract = {Scarcity of resources, structural change during the further development of renewable energy sources, and their corresponding costs, such as increasing resource costs or penalties due to dirty production, lead industrial firms to adapt ecological actions. In this regard, research on energy utilization in production planning has received increased attention in the last years, resulting in a large number of research articles so far. With the paper at hand, we review the literature on energy-oriented production planning. The aim of this study is to derive similar core issues and related properties along energy-oriented models within hierarchical production planning. For this, we carry out a systematic literature review and analyze and synthesize 375 research articles. We classify the underlying literature with a novel two-dimensional classification scheme and identify three key topics and five frequently found characteristics, which are presented in detail throughout this article. Based on these results, we state several potentials for further research.}, language = {en} } @incollection{ClausHerrmannManitz, author = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, title = {Knappe Kapazit{\"a}ten und Unsicherheit - Analytische Ans{\"a}tze und Simulation in der Produktionsplanung und -steuerung}, series = {Produktionsplanung und -steuerung}, booktitle = {Produktionsplanung und -steuerung}, editor = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, publisher = {Springer Gabler}, address = {Berlin, Heidelberg}, isbn = {978-3-662-64290-0}, doi = {10.1007/978-3-662-64291-7_1}, pages = {3 -- 7}, language = {de} } @incollection{TerbrackFrankHerrmannetal., author = {Terbrack, Hajo and Frank, Ingo and Herrmann, Frank and Claus, Thorsten and Trost, Marco}, title = {Eine Literaturdatenbank zur Nachhaltigkeit in der hierarchischen Produktionsplanung}, series = {Produktionsplanung und -steuerung}, booktitle = {Produktionsplanung und -steuerung}, editor = {Claus, Thorsten and Herrmann, Frank and Manitz, Michael}, publisher = {Springer Gabler}, address = {Berlin, Heidelberg}, isbn = {978-3-662-64290-0}, doi = {10.1007/978-3-662-64291-7_3}, pages = {27 -- 35}, language = {de} } @article{Stumvollspaeter:PlachClaus, author = {Stumvoll (sp{\"a}ter: Plach), Ulrike and Claus, Thorsten}, title = {Challenges while Updating Planning Parameters of an ERP System and How a Simulation-Based Support System Can Support Material Planners}, series = {Systems}, volume = {4}, journal = {Systems}, number = {1}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/systems4010010}, pages = {11}, abstract = {In an Enterprise Resource Planning (ERP) system, production planning is influenced by a variety of parameters. Previous investigations show that setting parameter values is highly relevant to a company's target system. Parameter settings should be checked and adjusted, e.g., after a change in environmental factors, by material planners. In practice, updating the parameters is difficult due to several reasons. This paper presents a simulation-based decision support system, which helps material planners in all stages of decision-making processes. It will present the system prototype's user interface and the results of applying the system to a case study.}, language = {en} } @inproceedings{TrostTerbrackClausetal., author = {Trost, Marco and Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Established production planning and control and its enhancement with sustainability}, series = {Proceedings of the 37th ECMS International Conference on Modeling and Simulation (ECMS 2023): June 20th - June 23rd, 2023, Florence, Italy}, booktitle = {Proceedings of the 37th ECMS International Conference on Modeling and Simulation (ECMS 2023): June 20th - June 23rd, 2023, Florence, Italy}, publisher = {ECMS}, isbn = {978-3-937436-80-7}, issn = {2522-2422}, doi = {10.7148/2023-0320}, pages = {320 -- 327}, abstract = {Against the background of the energy crisis, shortage of skilled workers, demographic change and other drivers, sustainable development is also becoming increasingly important for industrial companies. In this respect, production planning and control has an enormous influence on relevant objectives. In classical approaches of production planning and control as presented in this paper, economic-oriented objectives are taken into account to a large extent in decision making. This paper demonstrates that besides these classical models, a variety of approaches exist to influence ecological and social targets through production planning. These different models are assigned to sustainability areas and outlined by exemplary literature sources. Further research is needed, for instance, in the joint consideration of sustainability criteria along different planning levels and sustainable dimensions.}, language = {en} } @article{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Social Sustainability in Production Planning: A Systematic Literature Review}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {13}, publisher = {MDPI}, address = {Basel}, doi = {10.3390/su14138198}, pages = {1 -- 31}, abstract = {Sustainable production includes economic, environmental, and social aspects. However, social sustainability has received less attention, especially compared to the economic aspects. Next to technical and organizational measures, social improvements within supply chains can also be achieved through suitable production planning. Within production planning, production programs are determined, and the assignment of available resources (e.g., employees) is specified. Thus, the utilization and workload of employees are defined. This systematic literature review investigates to what extent such employee-related social aspects are reflected in production planning and discusses whether economic aspects dominate them. For this, a Scopus database search was carried out and 76 identified approaches were analyzed and categorized regarding the occurring employee-related social aspects and their implementation. Thus far, the approaches mainly consider single aspects on single planning levels. A consideration of a broad set of aspects along the entire production planning has rarely been studied. In particular, health and safety aspects are considered on the levels of assembly line balancing and job rotation. However, their impact is primarily determined by the specific settings of the decision-maker. To support decision-makers, only a few studies have investigated the effects based on real application scenarios. Further potential might be an extended modeling of social and economic interdependencies and a consideration of employee-related social aspects in medium- to long-term production planning.}, language = {en} } @inproceedings{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Addressing Energy Consumption and Energy-related Emissions by Single Machine Scheduling}, series = {Operations Research Proceedings 2022, Abstracts of the Annual International Conference of the German Operations Research Society (Gor): Karlsruhe, Germany, September 6-9, 2022}, booktitle = {Operations Research Proceedings 2022, Abstracts of the Annual International Conference of the German Operations Research Society (Gor): Karlsruhe, Germany, September 6-9, 2022}, editor = {Grothe, Oliver and Nickel, Stefan and Rebennack, Steffen and Stein, Oliver}, language = {en} } @inproceedings{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Emission reduction through production scheduling by priority rules and energy onsite generation}, series = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, booktitle = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, publisher = {ECMS}, isbn = {978-3-937436-77-7}, issn = {2522-2414}, doi = {10.7148/2022-0114}, pages = {114 -- 120}, abstract = {This article describes primary findings of various simulation runs on job shop scheduling dealing with energy consumption and emission pollution. By two combinations of priority rules, production is linked to the generation output of a renewable energy source installed onsite. The resulting schedules show a reduction of energy-related emissions and makespan compared to several conventional priority rules often used in industrial practice.}, language = {en} } @inproceedings{DilefeldClausTeich, author = {Dilefeld, Maximilian and Claus, Thorsten and Teich, Enrico}, title = {Robot Task Assignment In Dynamic Factory Environments}, series = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, booktitle = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, publisher = {ECMS}, isbn = {978-3-937436-84-5}, issn = {2522-2422}, doi = {10.7148/2024-0338}, pages = {338 -- 344}, abstract = {Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are being applied more and more frequently in a wide range of use cases. Following the general trend of decentralisation of control structure in the Industry 4.0 paradigm, this paper analyses the application of auction algorithms to solve the robot task assignment problem. We focus on the use of mobile robots in production environments with a high level of uncertainty which places hight demand on the flexibility of the online scheduling architecture. A sequential single-item (SSI) auction algorithm is validated for a real-world use case where multiple mobile robots supply car bodies to manual rework stations in a paint shop application using simulation. The optimization objective of such an algorithm is discussed in regards to the examined use case.}, language = {en} } @inproceedings{DaiSchoenClausetal., author = {Dai, Chenghao and Sch{\"o}n, Maximilian and Claus, Thorsten and Herrmann, Frank}, title = {Multi-Site Aggregate Production Planning With Resilience Consideration}, series = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, booktitle = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, publisher = {ECMS}, isbn = {978-3-937436-84-5}, issn = {2522-2422}, doi = {10.7148/2024-0345}, pages = {345 -- 351}, abstract = {The recent years have shown a high frequency of disruptions like natural disasters or manmade disruptions, leading, for example, to transport routes or production facilities being unavailable for extended periods. Many manufacturing companies, which nowadays operate in a global production network, are heavily exposed to these disruptions. This results in both significant costs and substantial exceeding of promised deadlines. If it concerns the first company in a supply chain, it causes correspondingly significant delays in promised deadlines for subsequent companies in the supply chain, including a correspondingly significant increase in costs. Both are exemplified in this paper through a case study. This case study demonstrates that through resilience, both implications can be significantly reduced.}, language = {en} } @article{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load}, series = {Sustainability}, volume = {15}, journal = {Sustainability}, publisher = {MDPI}, doi = {10.3390/su15086816}, pages = {1}, abstract = {A large number of researchers have addressed social aspects in hierarchical production planning. This article responds to research gaps identified in our previous literature review. Accordingly, consideration of social aspects and the economic implications of social improvements are required in a longer term planning approach. For this, we integrate work intensity as employee utilization in a general mixed-integer programming model for master production scheduling. Following existing fatigue functions, we represent the relationship between work intensity and exhaustion through an employee-utilization-dependent exhaustion function. We account for the economic implications through exhaustion-dependent capacity load factors. We solve our model with a CPLEX standard solver and analyze a case study based on a realistic production system and numerical data. We demonstrate that the consideration of economic implications is necessary to evaluate social improvements. Otherwise, monetary disadvantages are overestimated, and social improvements are, thus, negatively affected. Moreover, from a certain level of work-intensity reduction, demand peaks are smoothed more by pre-production, which requires more core employees, while temporary employment is reduced. Further potential may arise from considering and quantifying other interdependencies, such as employee exhaustion and employee days off. In addition, the relationship between social working conditions and employee turnover can be integrated.}, language = {en} }