Publication detail

Transportation Schedule-Respected Production Planning Using Genetic Algorithm Based Approach

Authors: Doležel Petr | Heckenbergerová Jana | Mariška Martin | Škrabánek Pavel

Year: 2015

Type of publication: článek ve sborníku

Name of source: Mendel 2015: 21st International Conference on Soft Computing

Publisher name: Vysoké učení technické v Brně

Place: Brno

Page from-to: 31-38

Titles:

Language	Name	Abstract	Keywords
cze	Algoritmus pro plánování výroby s ohledem na optimalizaci dopravy pomocí genetického algoritmu	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.
eng	Transportation Schedule-Respected Production Planning Using Genetic Algorithm Based Approach	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.	evolutionary algorithms; production planning; optimization; NP-hard problems

Search

Login for students

Login for employees

Publication detail

Department

Map

Services

Popular Links