Production fine planning using a solution archive of priority rules

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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