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Multi-objective particle swarm optimization with negative knowledge for U-shaped assembly line worker allocation problems

  • Chulalongkorn University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

A Single U-shaped Assembly Line (SUAL) is a type of Just-In-Time (JIT) production system where a variety of product models with similar product characteristics are assembled. Worker allocation to the SUAL is crucial to achieve the main benefits of JIT with the minimum of number of workers, equity of workload and the shortest walking time. A novel algorithm, named Particle Swarm Optimization with Negative Knowledge (PSONK), is proposed to find the Pareto-optimal solutions for SUAL worker allocation problems with from seven to two hundred and ninety-seven tasks. The performance of PSONK are compared with Non-dominated Sorting Genetic Algorithm-II (NSGA-II) against the measures of convergence, spread, ratio of Pareto-optimal solutions, and CPU time. PSONK outperforms NSGA-II for most performance measures.

Original languageEnglish
Title of host publicationIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages2033-2038
Number of pages6
DOIs
Publication statusPublished - 2010
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao, China
Duration: 7 Dec 2010 → 10 Dec 2010

Publication series

NameIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
Country/TerritoryChina
CityMacao
Period7/12/10 → 10/12/10

Keywords

  • Multiple objectives
  • Negative knowledge
  • Particle swarm optimization
  • U-shaped assembly lines
  • Worker allocation

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