@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{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{ClausHerrmann, author = {Claus, Thorsten and Herrmann, Frank}, title = {Simulation als betriebliche Entscheidungshilfe}, series = {Erg{\"a}nzungsband zu den Proceedings zur 14. ASIM Fachtagung "Simulation in Produktion und Logistik", vom 6. bis 8. Oktober 2010 am Karlsruher Institut f{\"u}r Technologie, Karlsruhe}, booktitle = {Erg{\"a}nzungsband zu den Proceedings zur 14. ASIM Fachtagung "Simulation in Produktion und Logistik", vom 6. bis 8. Oktober 2010 am Karlsruher Institut f{\"u}r Technologie, Karlsruhe}, subject = {Produktion}, language = {de} } @inproceedings{TrostTeichClausetal., author = {Trost, Marco and Teich, Enrico and Claus, Thorsten and Herrmann, Frank}, title = {Master Production Scheduling and the relevance of included social criteria}, series = {ACC Journal}, volume = {23}, booktitle = {ACC Journal}, number = {3}, doi = {10.15240/tul/004/2017-2-011}, pages = {146 -- 154}, abstract = {Folgender Beitrag untersucht die Notwendigkeit einer Ber{\"u}cksichtigung von Mitarbeiterauslastungen und davon abh{\"a}ngiger Bearbeitungszeiten in der Hauptproduktionsprogrammplanung. Zudem wird aufgezeigt, dass dieses Themengebiet aktuell eine Forschungsl{\"u}cke darstellt. Aus diesem Grund wird ein selbst entwickeltes lineares Optimierungsmodell f{\"u}r die Hauptproduktionsprogrammplanung vorgestellt, welches soziale Kriterien und eine geeignete Fallstudie enth{\"a}lt. Die Ergebnisse verdeutlichen, dass erhebliche Abweichungen durch eine Ignoranz von Mitarbeiterauslastungen und davon abh{\"a}ngiger Bearbeitungszeiten entstehen. Deshalb ist eine Integration zu empfehlen. Allerdings wird auch deutlich, dass weitere Forschungen notwendig sind, speziell f{\"u}r die Bestimmung geeigneter Ersch{\"o}pfungsfunktionen, so wie beispielsweise Funktionen f{\"u}r Lerneffekte existieren.}, subject = {Fertigungsprogrammplanung}, language = {en} } @inproceedings{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Adapted Master Production Scheduling: Potential for Improving Human Working Conditions}, 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 = {310 -- 316}, abstract = {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.}, subject = {Produktionsplanung}, language = {en} } @article{TrostTeichClausetal., author = {Trost, Marco and Teich, Enrico and Claus, Thorsten and Herrmann, Frank}, title = {Ein lineares Optimierungsmodell zur Hauptproduktionsprogrammplanung mit Ber{\"u}cksichtigung sozialer Gr{\"o}ßen}, series = {uwf UmweltWirtschaftsForum}, volume = {25}, journal = {uwf UmweltWirtschaftsForum}, doi = {10.1007/s00550-017-0454-7}, pages = {71 -- 80}, abstract = {Aufgrund weniger existenter sozialorientierter Forschungen im Rahmen der Produktionsplanung und -steuerung stellt dieser Beitrag ein lineares Optimierungsmodell f{\"u}r die Hauptproduktionsprogrammplanung vor, welches soziale Kriterien ber{\"u}cksichtigt. Erste Ergebnisse deuten an, dass geringe Kosten nicht durch eine maximierte Mitarbeiterauslastung entstehen sondern durch geringe Kapazit{\"a}tsschwankungen.}, subject = {Hierarchische Produktionsplanung}, language = {de} } @book{ClausHerrmannTeich, author = {Claus, Thorsten and Herrmann, Frank and Teich, Enrico}, title = {Kostensimulation}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-25167-3}, doi = {10.1007/978-3-658-25168-0}, subject = {Kostenanalyse}, language = {de} } @inproceedings{TrostClausTeichetal., author = {Trost, Marco and Claus, Thorsten and Teich, Enrico and Selmair, Maximilian and Herrmann, Frank}, title = {Social and Ecological Capabilities for a sustainable Hierarchical Production Planning}, series = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany}, booktitle = {Proceedings of the 30th EUROPEAN Conference on Modeling and Simulation (ECMS 2016), May 31st - June 3rd, 2016, Regensburg, Germany}, doi = {10.7148/2016-0432}, abstract = {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.}, subject = {Hierarchische Produktionsplanung}, language = {en} } @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} }