Developing a genetic optimisation approach to balance an apparel assembly line

Wai Keung Wong, Pik Yin Mok, S. Y.S. Leung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

34 Citations (Scopus)

Abstract

In apparel manufacturing, it is difficult to achieve line balance because the production rate of each workstation is different. This difficulty is particularly prominent in the labour-intensive assembly process. The development of a line balancing technique using genetic algorithms is thus proposed for optimising the assignment of operators in an assembly line. The impact of a different level of skill inventory SIn on the assembly makespan is also investigated in order to find out the optimal number of task skills an operator should possess in the apparel assembly process. Experimental results will be discussed to demonstrate the performance of the proposed genetic optimisation approach.
Original languageEnglish
Pages (from-to)387-394
Number of pages8
JournalInternational Journal of Advanced Manufacturing Technology
Volume28
Issue number3-4
DOIs
Publication statusPublished - 1 Mar 2006

Keywords

  • Apparel manufacture
  • Genetic algorithms
  • Line balance
  • Optimisation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this