Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

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

Authors
Qin Liao1, Wangyu Chen
1School of Mathematical Science, South China University of Technology
Corresponding Author
Qin Liao
Available Online October 2007.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.152How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/iske.2007.152
ID  - Liao2007/10
ER  -