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.
|Number of pages||6|
|Publication status||Published - Sept 2008|
|Event||Technology (ICMIT 2008) - Bangkok, United Kingdom of Great Britain and Northern Ireland|
Duration: 21 Sept 2008 → 24 Sept 2008
|Conference||Technology (ICMIT 2008)|
|Country/Territory||United Kingdom of Great Britain and Northern Ireland|
|Period||21 Sept 2008 → 24 Sept 2008|