Multi-Objective Analysis Applied to Mixed-Model Assembly Line Sequencing Problem through Elite Induced Evolutionary Method

• SHIMIZU Yoshiaki

  Toyohashi University of Technology

• SAKAGUCHI Tatsuhiko

  Toyohashi University of Technology

• PRALOMKARN Theerayoth

  Toyohashi University of Technology

Abstract

To meet higher customer satisfaction and shorter production lead time, assembly lines are shifting to mixed-model assembly lines. Accordingly, sequencing is becoming an increasingly important operation scheduling that directly affects on efficiency of the entire process. In this study, such sequencing problem at the mixed-model assembly line has been formulated as a bi-objective integer programming problem so that decision making through trade-off analysis can bring about significant production improvements. Then we have developed a multi-objective analysis method by hybridizing conventional and recent meta-heuristic methods. After showing its generic idea, the car mixed-model assembly line sequencing problem is concerned as a case study. Certain measures are also introduced to quantitatively evaluate the performances of the method through comparison.

Journal

• Journal of Advanced Mechanical Design, Systems, and Manufacturing

  Journal of Advanced Mechanical Design, Systems, and Manufacturing 6 (5), 647-660, 2012

  The Japan Society of Mechanical Engineers

Keywords

• Multi-Objective Analysis
• Mixed-Model Assembly Line
• Sequencing Problem
• Elite Induction
• Strength Pareto Evolutionary Algorithm 2 (SPEA2)

Details

• CRID: 1390282680250052736
• NII Article ID: 130002099498
• DOI: 10.1299/jamdsm.6.647
• ISSN: 18813054
• Web Site: https://www.jstage.jst.go.jp/article/jamdsm/6/5/6_647/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed