Production fine planning using a solution archive of priority rules
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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