TY - CHAP A1 - Vitzthum, Thorsten A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Can Aggregate Production Planning (APP) be modified to be as good as Master Production Scheduling (MPS) T2 - ACC Journal N2 - In diesem Beitrag wird anhand einer Fallstudie die Bedeutung der Hauptproduktionsprogrammplanung (HPPLAN) für die hierarchische Produktionsplanung herausgearbeitet werden. Dazu wird versucht das Ergebnis der aggregierten Gesamtplanung (AGGRPLAN) durch Veränderung einzelner Paramater so zu verbessern, dass es dem Ergebnis der HPPLAN entspricht. Im Rahmen der Untersuchungen konnten dabei Verbesserungen für einzelne Planungssituationen erzielt werden, eine generelle Lösung konnte jedoch nicht gefunden werden. Insbesondere der Einsatz eines geeigneten Kapazitätsreduktionsfaktors in Verbindung mit der Berücksichtigung der Durchlaufzeit führt zu einer Verbesserung der Lösung. Bei der Planung von mehr als einem Produkt ist allerdings schwierig einen geeigneten Kapazitätsreduktionsfaktor zu finden, da dieser abhängig von der Nachfrage ist. KW - Hierarchische Produktionsplanung KW - Fertigungsprogrammplanung KW - Fallstudie KW - Hierarchical production planning KW - Aggregate production planning (APP) KW - Master production scheduling (MPS) KW - Material requirement planning KW - Resource profiles Y1 - 2017 U6 - https://doi.org/10.15240/tul/004/2017-2-012 VL - 23 IS - 2 SP - 155 EP - 162 ER - TY - CHAP A1 - Vitzthum, Thorsten A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Einfluss von Mitarbeiterqualifikationszeiten im Rahmen nachhaltiger Produktionsplanung T2 - Simulation in Produktion und Logistik 2017, Kassel, 20.-22. September N2 - This research paper evaluates the potential of reducing shortages and costs that are created by training measures as an example for measurement of extended qualification of key employees in sustainable production planning. Capacity planning with standard methods in Enterprise Resource Planning Systems, namely priority rules, are used. Almost always, the optimal solution is not found, although there is one. In addition, unnecessarily high stocks are built up. In real business situations, this causes lost profits. T2 - Influence of Employee Qualification Times in the Context of Sustainable Production Planning KW - Enterprise-Resource-Planning KW - Produktionsplanung KW - Betriebliche Fortbildung Y1 - 2017 UR - http://www.asim-fachtagung-spl.de/asim2017/papers/Proof_111_Vitzthum.pdf SP - 315 EP - 324 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank ED - Al-Begain, Khalid T1 - Employment of temporary workers and use of overtime to achieve volume flexibility using master production scheduling: monetary and social implications T2 - Proceedings of the 35th ECMS International Conference on Modelling and Simulation (ECMS 2021): May 31st-June 2nd, 2021, United Kingdom N2 - 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. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-24906 SN - 978-3-937436-72-2 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank ED - Steglich, Mike T1 - Influence of Company Sizes in adapted Master Production Scheduling for Improving Human Working Conditions T2 - Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020 N2 - 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. KW - company size KW - cost reduction KW - exhaustion KW - linear optimisation KW - master production scheduling KW - workload Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-24817 SN - 978-3-937436-68-5 SP - 287 EP - 293 PB - European Council for Modelling and Simulation ER - TY - CHAP A1 - Terbrack, Hajo A1 - Herrmann, Frank A1 - Claus, Thorsten ED - Steglich, Mike T1 - Deviation in Energy Consumption on Aggregate Production Planning Level in Industry Practice T2 - Proceedings of the 34th International ECMS Conference on Modelling and Simulation (ECMS 2020) N2 - 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. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-24804 SN - 978-3-937436-68-5 SP - 334 EP - 340 ER - TY - JOUR A1 - Terbrack, Hajo A1 - Frank, Ingo A1 - Herrmann, Frank A1 - Claus, Thorsten A1 - Trost, Marco A1 - Götz, Matthias T1 - A literature database on ecological sustainability in hierarchical production planning JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - 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. KW - Database KW - Sustainability KW - Ecology KW - Production Planning Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-23539 UR - https://akwi.hswlu.ch/article/view/3281 SN - 2296-4592 IS - 12 SP - 36 EP - 40 PB - AKWI ER - TY - CHAP A1 - Selmair, Maximilian A1 - Hanfeld, Marc A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Exploring Opportunities BT - Optimizing Production Planning by Factoring in Energy Procurement and Trading Options T2 - Simulation Notes Europe (SNE), Special Issue: Simulation in Production and Logistics: Impact of Energetic Factors N2 - 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 KW - Materialflussplanung KW - Energiebedarf KW - Optimierung KW - Simulation Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-2007 VL - 27 IS - 2 SP - 97 EP - 103 ER - TY - GEN A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - A simulation analysis of Independent Requirements Consumption in Master Production Scheduling T2 - ASIM Workshop, Trends in Computational Science and Engineering (ASIM TCSE 2012), February 13-14, 2012, Vienna University of Technology, Austria N2 - 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. KW - Produktonsplanung KW - Simulation analysis KW - Independent Requirements Consumption KW - Master Production Scheduling KW - Enterprise-Resource-Planning KW - Kundenorientierung Y1 - 2012 ER - TY - GEN A1 - Terbrack, Hajo A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - An Optimization Model for Production Scheduling with Energy Consumption and Energy-related Emissions T2 - OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe N2 - 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. KW - Optimization KW - Production Scheduling KW - Energy Consumption Y1 - 2022 ER - TY - GEN A1 - Herrmann, Frank A1 - Schoen, Maximilian A1 - Claus, Thorsten A1 - Dai, Chenghao T1 - Aggregate Production Planning under Risk of Disruption T2 - OR 2024, International Conference on Operations Research 2024, September 3-6, 2024, Munich N2 - 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. KW - Supply Chain Resiliance KW - Aggregate Production Planning KW - Supply Chain Disruption Y1 - 2024 ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Simulation-based determination of capacity load factors for master production scheduling T2 - Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany N2 - 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. KW - PPS KW - Kapazitätsplanung KW - Stochastisches Modell Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-2610 SP - 631 EP - 640 ER - TY - CHAP A1 - Lange, Frederick A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Simulation based clearing functions for a model of order release planning T2 - Proceedings of the 27th EUROPEAN Conference on Modeling and Simulation, May 27th - 30th, 2013, Ålesund, Norway N2 - 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. KW - clearing function KW - linear programming KW - order release planning KW - simulation KW - Auftragsabwicklung KW - Clearing function Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-2205 SP - 741 EP - 747 ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Simulation of robust Master Production Scheduling in an industrially relevant planning environment T2 - Proceedings of the 27th EUROPEAN Conference on Modeling and Simulationn, May 27th - 30th, 2013, Ålesund, Norway N2 - 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. KW - Hierarchische Produktionsplanung KW - Auftragsabwicklung KW - Optimierung KW - robust optimisation KW - production planning KW - simulation Y1 - 2013 U6 - https://doi.org/10.7148/2013-0794 SP - 794 EP - 800 ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Independent Requirements Consumption in Master Production Scheduling in an Uncapacitated Environment T2 - Informatics, Microsystems, Information Systems. Proceedings. 2012 KW - Produktionsplanung KW - Kundenorientierung Y1 - 2012 SN - 9785733909301 VL - Vol. 1(1) ER - TY - CHAP A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Simulation als betriebliche Entscheidungshilfe T2 - Ergänzungsband zu den Proceedings zur 14. ASIM Fachtagung "Simulation in Produktion und Logistik", vom 6. bis 8. Oktober 2010 am Karlsruher Institut für Technologie, Karlsruhe KW - Produktion KW - Logistik KW - Simulation KW - Entscheidungsprozess Y1 - 2010 ER - TY - CHAP A1 - Trost, Marco A1 - Teich, Enrico A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Master Production Scheduling and the relevance of included social criteria T2 - ACC Journal N2 - Folgender Beitrag untersucht die Notwendigkeit einer Berücksichtigung von Mitarbeiterauslastungen und davon abhängiger Bearbeitungszeiten in der Hauptproduktionsprogrammplanung. Zudem wird aufgezeigt, dass dieses Themengebiet aktuell eine Forschungslücke darstellt. Aus diesem Grund wird ein selbst entwickeltes lineares Optimierungsmodell für die Hauptproduktionsprogrammplanung vorgestellt, welches soziale Kriterien und eine geeignete Fallstudie enthält. Die Ergebnisse verdeutlichen, dass erhebliche Abweichungen durch eine Ignoranz von Mitarbeiterauslastungen und davon abhängiger Bearbeitungszeiten entstehen. Deshalb ist eine Integration zu empfehlen. Allerdings wird auch deutlich, dass weitere Forschungen notwendig sind, speziell für die Bestimmung geeigneter Erschöpfungsfunktionen, so wie beispielsweise Funktionen für Lerneffekte existieren. KW - Fertigungsprogrammplanung KW - Personaleinsatz KW - Lineare Optimierung KW - Sustainability KW - Production planning and control KW - Master production scheduling KW - Linear optimization KW - Human fatigue Y1 - 2017 U6 - https://doi.org/10.15240/tul/004/2017-2-011 VL - 23 IS - 3 SP - 146 EP - 154 ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Adapted Master Production Scheduling: Potential for Improving Human Working Conditions T2 - Proceedings of the 33th European Conference on Modelling and Simulation 2019 (ECMS), Caserta, Italy N2 - This article illustrates the problem of deficient working conditions like high work intensity and underlines the possibilities of production planning and control to improve them. However, an included literature search presents that previous approaches have predominantly considered social aspects within a short planning horizon and that there is a need for a long-term consideration. To address this research gap a linear optimization model for Master Production Scheduling is presented, which has been extended by basic aspects of personnel requirements planning and a control of personnel work intensity. The results show that improvements in working conditions can be achieved through adapted production planning without an automatically increase in costs. However , challenges in quantifying the corresponding social correlations are identified as well. KW - Produktionsplanung KW - Personalbedarfsplanung KW - Lineare Optimierung KW - Master Production Scheduling KW - Sustainability KW - Work Intensity KW - Workload Y1 - 2019 U6 - https://doi.org/10.7148/2019 VL - 33,1 SP - 310 EP - 316 ER - TY - JOUR A1 - Trost, Marco A1 - Teich, Enrico A1 - Claus, Thorsten A1 - Herrmann, Frank T1 - Ein lineares Optimierungsmodell zur Hauptproduktionsprogrammplanung mit Berücksichtigung sozialer Größen JF - uwf UmweltWirtschaftsForum N2 - Aufgrund weniger existenter sozialorientierter Forschungen im Rahmen der Produktionsplanung und -steuerung stellt dieser Beitrag ein lineares Optimierungsmodell für die Hauptproduktionsprogrammplanung vor, welches soziale Kriterien berücksichtigt. Erste Ergebnisse deuten an, dass geringe Kosten nicht durch eine maximierte Mitarbeiterauslastung entstehen sondern durch geringe Kapazitätsschwankungen. KW - Sustainability KW - Social dimension KW - Production planning and control KW - Master production scheduling KW - Linear optimisation KW - Hierarchische Produktionsplanung KW - Fertigungsprogrammplanung KW - Personaleinsatz KW - Lineare Optimierung Y1 - 2017 U6 - https://doi.org/10.1007/s00550-017-0454-7 VL - 25 SP - 71 EP - 80 ER - TY - BOOK A1 - Claus, Thorsten A1 - Herrmann, Frank A1 - Teich, Enrico T1 - Kostensimulation BT - Grundlagen, Forschungsansätze, Anwendungsbeispiele KW - Kostenanalyse KW - Simulation Y1 - 2019 SN - 978-3-658-25167-3 U6 - https://doi.org/10.1007/978-3-658-25168-0 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Trost, Marco A1 - Claus, Thorsten A1 - Teich, Enrico A1 - Selmair, Maximilian A1 - Herrmann, Frank T1 - Social and Ecological Capabilities for a sustainable Hierarchical Production Planning T2 - Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany N2 - Production planning and production control mainly focus on optimising the entire production system of a company. On the basis of hierarchical planning as a suitable method for solving this task, this paper shows - besides the economic dimension taken into account so far - that there are also social and ecological effects which will have to be considered in the process of planning. For this purpose, we would like to indicate here which social and ecological parameters can be or have already been taken into account for master production scheduling, for lot sizing and resource scheduling. As a result, an overview has been created which presents the existing concepts of sustainable production planning and production control as well as the existing deficits regarding the sustainability perspective. KW - Hierarchische Produktionsplanung KW - Soziale Verantwortung KW - Ökologie KW - production planning KW - hierarchical planning KW - social variables KW - ecological variables KW - sustainable hierarchical production planning Y1 - 2016 U6 - https://doi.org/10.7148/2016-0432 ER - TY - CHAP A1 - Janssen, Larissa A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Beitrag zur Abfallreduktion mittels mathematischer Optimierung und simulationsbasierter Validierung BT - A contribution to the waste reduction by mathematical optimisation and simulation-based validation T2 - Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany N2 - 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. KW - Bestandsmanagement KW - Bestellmengenplanung KW - Optimierung KW - Frischware Y1 - 2015 UR - http://www.asim-fachtagung-spl.de/asim2015/papers/Proof_127_Janssen-V2.pdf ER -