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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Simulation Of Robust Master
Production Scheduling In An Industrially Relevant Planning Environment |
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Authors: |
Julian
Englberger, Frank Herrmann, Thorsten Claus |
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Published in:
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(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H.
Zhang European Council for Modeling and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund,
Norway, May 27th – 30th,
2013 |
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Citation
format: |
Julian Englberger, Frank
Herrmann, Thorsten Claus (2013). Simulation Of Robust Master Production
Scheduling In An Industrially Relevant Planning Environment, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0794 |
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DOI: |
http://dx.doi.org/10.7148/2013-0794 |
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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. |
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