A chance-constrained approach to stochastic line balancing problem

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Agpak K., Gokcen H.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol.180, pp.1098-1115, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 180
  • Publication Date: 2007
  • Doi Number: 10.1016/j.ejor.2006.04.042
  • Journal Name: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1098-1115
  • Keywords: production, U-line balancing, ASSEMBLY LINES, TIMES
  • Gazi University Affiliated: Yes

Abstract

in this paper, chance-constrained 0-1 integer programming models for the stochastic traditional and U-type line balancing (ULB) problem are developed. These models are solved for several test problems that are well known in the literature and the computational results are given. In addition, a goal programming approach is presented in order to increase the system reliability, which is arising from the stochastic case. (c) 2006 Elsevier B.V. All rights reserved.