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.
Original language | English |
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Title of host publication | Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT |
Publisher | IEEE Computer Society |
Pages | 1066-1071 |
Number of pages | 6 |
ISBN (Print) | 9781424423309 |
DOIs | |
Publication status | Published - 1 Jan 2008 |
Externally published | Yes |
Event | 4th IEEE International Conference on Management of Innovation and Technology, ICMIT - Bangkok, Thailand Duration: 21 Sept 2008 → 24 Sept 2008 |
Conference
Conference | 4th IEEE International Conference on Management of Innovation and Technology, ICMIT |
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Country/Territory | Thailand |
City | Bangkok |
Period | 21/09/08 → 24/09/08 |
Keywords
- CMPSO
- Multi plant
- Scheduling
- Tardiness
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering