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

Tung Sun Chan, Vikas Kumar, Nishikant Mishra

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT
PublisherIEEE Computer Society
Pages1066-1071
Number of pages6
ISBN (Print)9781424423309
DOIs
Publication statusPublished - 1 Jan 2008
Externally publishedYes
Event4th IEEE International Conference on Management of Innovation and Technology, ICMIT - Bangkok, Thailand
Duration: 21 Sep 200824 Sep 2008

Conference

Conference4th IEEE International Conference on Management of Innovation and Technology, ICMIT
CountryThailand
CityBangkok
Period21/09/0824/09/08

Keywords

  • CMPSO
  • Multi plant
  • Scheduling
  • Tardiness

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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