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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Engineering Applications of Artificial Intelligence
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
