A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution

DOI

10.2991/iske.2007.152How to use a DOI?

Keywords

Genetic algorithm, Multi-objective MRP, CRP.

Abstract

This paper takes integrated optimization of Material Requirements Planning (MRP) and Capacity Requirements Planning (CRP) as research intention, builds a novel multi-objective optimization algorithm of MRP and CRP based on genetic evolution, and designs the proper genetic operators which take the integrated configuration of productive requirement and resource requirement into account. Thereby, it is proved that the novel MRP algorithm based on genetic evolution is superior to the conventional MRP algorithm.

Copyright

© 2007, 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  - Qin Liao
AU  - Wangyu Chen
PY  - 2007/10
DA  - 2007/10
TI  - A New MRP Optimization Algorithm Based on Multi-Objective Genetic Evolution
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 893
EP  - 900
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.152
DO  - 10.2991/iske.2007.152
ID  - Liao2007/10
ER  -