A chance-constrained approach to stochastic line balancing problem

نویسندگان

  • Kürsad Agpak
  • Hadi Gökçen
چکیده

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. 2006 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • European Journal of Operational Research

دوره 180  شماره 

صفحات  -

تاریخ انتشار 2007