Transportation Schedule-Respected Production Planning Using Genetic Algorithm Based Approach

Show simple item record Doležel Petr Heckenbergerová Jana Mariška Martin Škrabánek Pavel 2016-11-14T08:19:34Z 2016-11-14T08:19:34Z 2015
dc.identifier.isbn 978-3-319-19823-1 eng
dc.identifier.issn 1803-3814
dc.description.abstract In this contribution, there is introduced a genetic algorithm for the production planning issue solving while shipping of the products to the purchasers is respected. The aim of the paper is to provide a search technique that minimizes the objective function composed of the joint costs of production (manufacturing line rearrangement minimization), transportation (delivery route minimization) and holding (shipping date optimization) while all the purchasers' orders are delivered within the de ned horizon. This class of issues is considered to be a NP-hard combinatorial problem and it is not possible to solve it analytically for large amounts of inputs. Thus, the stochastic approach is proposed in this paper. This approach, which is based on the genetic algorithm, respects all the components of the objective function and provides acceptable solution in reasonable time as discussed at the end of the paper. eng
dc.format p. 31-38 eng
dc.language.iso eng
dc.publisher Springer eng
dc.relation.ispartof Mendel 2015: Recent Advances in Soft Computing eng
dc.rights Práce není přístupná eng
dc.subject evolutionary algorithms eng
dc.subject production planning eng
dc.subject optimization eng
dc.subject NP-hard problems eng
dc.title Transportation Schedule-Respected Production Planning Using Genetic Algorithm Based Approach eng
dc.title.alternative Algoritmus pro plánování výroby s ohledem na optimalizaci dopravy pomocí genetického algoritmu cze
dc.type ConferenceObject eng
dc.description.abstract-translated V příspěvku je představen genetický algoritmus použitý pro plánování výroby s ohledem na optimalizaci dopravy. Cílem přístupu je poskytnout optimalizační algoritmus, který minimalizuje účelovou funkci složenou ze spojených nákladů na produkci, dopravu a skladování. cze
dc.event Mendel´15: 21st International Conference on Soft Computing (23.06.2015 - 25.06.2015) eng
dc.peerreviewed yes eng
dc.publicationstatus postprint eng
dc.identifier.scopus 2-s2.0-84938854952
dc.identifier.obd 39874220
dc.note Mendel2015 eng

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