Simulation-based determination of capacity load factors for master production scheduling
- 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.
Author: | Julian Englberger, Frank HerrmannORCiDGND, Thorsten ClausORCiD |
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URN: | urn:nbn:de:bvb:898-opus4-2610 |
Parent Title (English): | Proceedings of the 15th International Conference on Simulation in Production and Logistics, October 9 - 11, 2013, Paderborn, Germany |
Document Type: | conference proceeding (article) |
Language: | English |
Year of first Publication: | 2013 |
Publishing Institution: | Ostbayerische Technische Hochschule Regensburg |
Release Date: | 2020/03/02 |
GND Keyword: | PPS; Kapazitätsplanung; Stochastisches Modell |
First Page: | 631 |
Last Page: | 640 |
Institutes: | Fakultät Informatik und Mathematik |
research focus: | Produktion und Systeme |