TY - GEN A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Manitz, Michael T1 - Berücksichtigung stochastischer Einflüsse bei der Hauptproduktionsprogrammplanung T2 - Im Mix der Methoden - Neue Perspektiven der Produktionswirtschaft. 1. Doktorandenworkshop der Wissenschaftlichen Kommission für Produktionswirtschaft, 19./20. März 2021, Berlin Y1 - 2021 PB - TU Berlin 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 - 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 - 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 - JOUR A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Manitz, Michael T1 - Two-stage stochastic master production scheduling under demand uncertainty in a rolling planning environment JF - International Journal of Production Research N2 - This paper proposes a scenario-based two-stage stochastic programming model with recourse for master production scheduling under demand uncertainty. We integrate the model into a hierarchical production planning and control system that is common in industrial practice. To reduce the problem of the disaggregation of the master production schedule, we use a relatively low aggregation level (compared to other work on stochastic programming for production planning). Consequently, we must consider many more scenarios to model demand uncertainty. Additionally, we modify standard modelling approaches for stochastic programming because they lead to the occurrence of many infeasible problems due to rolling planning horizons and interdependencies between master production scheduling and successive planning levels. To evaluate the performance of the proposed models, we generate a customer order arrival process, execute production planning in a rolling horizon environment and simulate the realisation of the planning results. In our experiments, the tardiness of customer orders can be nearly eliminated by the use of the proposed stochastic programming model at the cost of increasing inventory levels and using additional capacity. KW - Hierarchische Produktionsplanung KW - Fertigungsprogrammplanung KW - Nachfrageverhalten KW - Stochastische Optimierung KW - Master production scheduling KW - Demand uncertainty KW - Two-stage stochastic programming KW - Scenario-based stochastic programming with recourse KW - Hierarchical production planning Y1 - 2016 U6 - https://doi.org/10.1080/00207543.2016.1162917 VL - 54 IS - 20 SP - 6192 EP - 6215 PB - Taylor & Francis ER - TY - CHAP A1 - Englberger, Julian A1 - Herrmann, Frank T1 - Estimating Capacity Load Factors in Master Production Scheduling by the use of Stochastic Optimization T2 - Tagungsband zu der Tagung Logistikmanagement 2013, 10. - 13. Oktober 2013, Bremen, Deutschland KW - Produktionsplanung KW - Ablaufplanung KW - Kapazitätsplanung KW - Stochastische Optimierung Y1 - 2013 ER - TY - CHAP A1 - Herrmann, Frank A1 - Englberger, Julian ED - Claus, Thorsten ED - Herrmann, Frank ED - Manitz, Michael T1 - Robuste Optimierung zur Produktionsprogrammplanung T2 - Produktionsplanung und -steuerung Y1 - 2021 SN - 978-3-662-64290-0 U6 - https://doi.org/10.1007/978-3-662-64291-7_4 SP - 39 EP - 61 PB - Springer Gabler CY - Berlin, Heidelberg ER - TY - JOUR A1 - Englberger, Julian A1 - Herrmann, Frank A1 - Manitz, Michael T1 - Master production scheduling with scenario-based capacity-load factors in a rolling planning environment JF - Logistics Research, Special Issue “Supply Chain Analytics in the 2020s” N2 - This paper proposes two stochastic programming models for master production scheduling with capacity-load factor scenarios. In contrast to other work on production planning with load-dependent lead times or dynamic capacity loads, we iteratively build a set of realistic capacity-load factor scenarios by simulating the realization of the master production schedules in a rolling horizon environment. Therefore, we integrate the models into a hierarchical production planning and control system that is common in industrial practice and measure the effective capacity-load factors. With these factors, we resolve the master production scheduling problem. Toa evaluate the performance of the proposed models, we compare the stochastic models with the common approach to reduce the nominally available capacity for master production scheduling. In our experiments, the stochastic models significantly reduce the tardiness of production orders caused by capacity bottlenecks. Y1 - 2022 U6 - https://doi.org/10.23773/2022_12 VL - 15 SP - 1 EP - 16 PB - Bundesvereinigung Logistik (BVL) e.V. CY - Bremen ER -