Title :
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
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;
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
DOI :
10.1109/ICMIT.2008.4654516
