Scheduling optimization of mixed model assembly lines Based on Genetic Algorithms

DOI

10.2991/isrme-15.2015.43How to use a DOI?

Keywords

Mixed model assembly lines; Scheduling; Objective function; Genetic Algorithms

Abstract

For meeting diversified demand of customers without the need for large product inventories an objective function on maintaining the uniform of a spare parts consumption rate was put forward on the basis of summarizing the scheduling problem with mixed flow assembly line, and the mathematical model of the objective function was established. then a kind of genetic algorithm was presented to solve the mixed flow assembly line scheduling model. Finally, a simulation example was employed to illustrate the validity and effectiveness of the proposed method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shuo Cheng
AU  - Minghai Yuan
AU  - Shuyang Yan
PY  - 2015/04
DA  - 2015/04
TI  - Scheduling optimization of mixed model assembly lines Based on Genetic Algorithms
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 186
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.43
DO  - 10.2991/isrme-15.2015.43
ID  - Cheng2015/04
ER  -