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A chance-constrained approach to stochastic line balancing problem
Authors:  r  ad A  pak,Hadi G  k  en
Affiliation:aFaculty of Engineering, Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey;bFaculty of Engineering and Architecture, Department of Industrial Engineering, Gazi University, Maltepe, 06570 Ankara, Turkey
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.
Keywords:Production   U-line balancing
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