Production fine planning using a solution archive of priority rules

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Pitzer:2011:LINDI,

• author = "Erik Pitzer and Andreas Beham and Michael Affenzeller and Helga Heiss and Markus Vorderwinkler",
• title = "Production fine planning using a solution archive of priority rules",
• booktitle = "3rd IEEE International Symposium on Logistics and Industrial Informatics (LINDI 2011)",
• year = "2011",
• month = "25-27 " # aug,
• pages = "111--116",
• address = "Budapest",
• size = "6 pages",
• 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 optimising 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 optimisation 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 optimisation process.",
• keywords = "genetic algorithms, genetic programming, priority rule-based optimisation, production fine planning, production rescheduling, pseudo Pareto front, Pareto optimisation, production planning, scheduling",
• DOI = "doi:10.1109/LINDI.2011.6031130",
• notes = "Scheduling, C#, SQL, SQLite, two million online scheduling priority rules. Simulation factury of the future, procompsite, SiRO, Profactor. Parallel (24 cpu cores) HeuristicLab, Also known as \cite{6031130}",

}

Genetic Programming entries for Erik Pitzer Andreas Beham Michael Affenzeller Helga Heiss Markus Vorderwinkler

Citations