Optimization of the multi-objective dynamic cell formation problem considering machine sharing

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

Abstract

The design of cell formation of a cellular manufacturing system (CMS) is a combinatorial optimization problem. Cellular manufacturing can reduce the material handling costs and increase the efficiency of the system. Because of uncertainties in production life circle, there are many changes in demand of the products. But former cell formation methods ignore this situation. And product life cycles are shorter and shorter, and demand volumes and product types are hard to forecast. Thus, cell design needs to be suitable for different periods. Dynamic cell formation is a solution of this problem. In this paper, a multi-objective model of Dynamic cell formation is presented to optimal the relocation cost, machine utilization and intercell moves. Besides this, the situation that some machine need be shared at more than one cell at the same period is also considered. To solve the mathematical model, a genetic algorithmis applied and two numerical examples are presented to evaluate the validity of this model.

Original languageEnglish
Title of host publication2013 International Conference on Management Science and Engineering, ICMSE 2013 - 20th Annual Conference Proceedings
Pages269-274
Number of pages6
StatePublished - 2013
Event2013 20th International Conference on Management Science and Engineering, ICMSE 2013 - Harbin, China
Duration: 17 Jul 201319 Jul 2013

Publication series

NameInternational Conference on Management Science and Engineering - Annual Conference Proceedings
ISSN (Print)2155-1847

Conference

Conference2013 20th International Conference on Management Science and Engineering, ICMSE 2013
Country/TerritoryChina
CityHarbin
Period17/07/1319/07/13

Keywords

  • Dynamic cell formation
  • Intercell moves
  • Machine sharing
  • Machine utilization
  • Relocation cost

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