Resolving multi plant supply chain problem: A novel swarm intelligence based approach

Author

Chan, Felix T S ; Kumar, Vikas ; Mishra, Nishikant

Author_Institution

Dept. of Ind. & Manuf. Syst. Eng., Univ. of Hong Kong, Hong Kong

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1066

Lastpage

1071

Abstract

The changing business scenarios and escalating complexity in manufacturing industries have shifted the inclination of the researchers towards issues that have great impact on overall performance of the plants. The present research considers a multi-plant supply chain scenario and attempts to resolve the production planning and scheduling problem. The paper proposes a new Cooperative Multiple Particle Swarm Optimization (CMPSO) algorithms to reduce the overall tardiness. The efficacy of the algorithm has been shown by comparing it with other Evolutionary Algorithms.

Keywords

evolutionary computation; industrial plants; manufacturing industries; particle swarm optimisation; production control; production planning; scheduling; supply chain management; cooperative multiple particle swarm optimization algorithms; evolutionary algorithms; manufacturing industries; multi plant supply chain problem; novel swarm intelligence; production planning; production scheduling; Computer integrated manufacturing; Evolutionary computation; Flexible manufacturing systems; Job shop scheduling; Manufacturing industries; Manufacturing systems; Particle swarm optimization; Production; Supply chain management; Supply chains; CMPSO; Multi plant; Scheduling; tardiness;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-2329-3

Electronic_ISBN

978-1-4244-2330-9

Type

conf

DOI

10.1109/ICMIT.2008.4654516

Filename

4654516