NDLI: Production fine planning using a solution archive of priority rules

Content Provider	IEEE Xplore Digital Library
Author	Pitzer, E. Beham, A. Affenzeller, M. Heiss, H. Vorderwinkler, M.
Copyright Year	2011
Description	Author affiliation: Upper Austria University of Applied Sciences, School of Informatics, Communication and Media, Softwarepark 11, 4232 Hagenberg, AUSTRIA (Pitzer, E.; Beham, A.; Affenzeller, M.) \|\| PROFACTOR GmbH, Im Stadgut A2, 4407 Steyr-Gleink, AUSTRIA (Heiss, H.; Vorderwinkler, M.)
Abstract	Production Fine Planning is often performed directly using all information and assuming that it is fixed. In practice, however, this information changes regularly and the plan has to be adapted. This often means a complete rescheduling of all operations. We present a new approach to this problem by optimizing priority rules that can sort the available next actions. These priority rules often yield similar results even though they do not resemble each other. By using genetic programming to build these priority rules, a distributed system to compute the simulations and a solution archive with a cache of hundreds of thousands of priority rules, new insights into priority rule-based optimization are gained. This archive does not only speed up calculation by avoiding re-simulation of the same rule but can provide a pseudo Pareto front of shorter sub-optimal solutions that facilitate interpretation of the more complex rules and their evolution during the optimization process.
Starting Page	111
Ending Page	116
File Size	256218
Page Count	6
File Format	PDF
ISBN	9781457718427
e-ISBN	9781457718410
DOI	10.1109/LINDI.2011.6031130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-25
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Job shop scheduling Computational modeling Genetic programming Optimal scheduling
Content Type	Text
Resource Type	Article

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