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- W3033868282 abstract "This paper addresses an integrated physical supply channel, aggregate production, and transportation planning problem through the lens of social sustainability under uncertainty. The three-echelon supply chain network includes multiple suppliers, a manufacturer and multiple distribution centres. Social-related criteria such as workers’ job-security and health (i.e. working conditions) and social investment are contemplated in the supply chain under consideration. In doing so, a chance constraint mixed integer non-linear programming model is built to determine the centralized planning of procurement-production-transportation under fuzzy-stochastic uncertainty over the tactical planning horizon. Moreover, an efficient hybrid solution procedure is developed utilizing convexification and defuzzification strategies. Finally, a real-case study in clothing industry is presented to show the model applicability and the solution procedure efficiency." @default.
- W3033868282 created "2020-06-12" @default.
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- W3033868282 date "2020-09-01" @default.
- W3033868282 modified "2023-09-30" @default.
- W3033868282 title "Robust master planning of a socially responsible supply chain under fuzzy-stochastic uncertainty (A case study of clothing industry)" @default.
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- W3033868282 doi "https://doi.org/10.1016/j.engappai.2020.103715" @default.
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