About the efficiency and cost reduction of parallel mixed-model assembly lines

S. Hazbany, I. Gilad, M. Shpitalni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Although Mixed-Model assembly lines have a number of advantages over Single- Model lines, they suffer from several drawbacks, such as increased assembly complexity and greater work flow fluctuations, mainly due to the differences between the models assembled in the line. This research has adopted a new approach to cope with the above disadvantages in which the models are clustered into several as- sembly lines. The research presents a Model Partitioning and Clustering Algorithm (MPCA), which determines the similarity between models and assigns them accordingly to different parallel assembly lines. Empirical analysis shows that the MPCA can find a better solution than the optimal solution for one Mixed-Model line, which assembles all the models simultaneously.

Original languageEnglish
Title of host publicationThe Future of Product Development - Proceedings of the 17th CIRP Design Conference
EditorsFrank-Lothar Krause
Pages483-492
Number of pages10
ISBN (Electronic)9783540698197
DOIs
StatePublished - 2007
Externally publishedYes
Event17th CIRP Design Conference - Berlin, Germany
Duration: 1 Mar 2007 → …

Publication series

NameThe Future of Product Development - Proceedings of the 17th CIRP Design Conference

Conference

Conference17th CIRP Design Conference
Country/TerritoryGermany
CityBerlin
Period1/03/07 → …

Keywords

  • Assembly lines
  • Heuristic method
  • Manufacturing system

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