A chance-constrained approach to stochastic line balancing problem


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Agpak K., Gokcen H.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, cilt.180, ss.1098-1115, 2007 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 180
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.ejor.2006.04.042
  • Dergi Adı: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
  • Sayfa Sayıları: ss.1098-1115

Özet

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.