نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
With the rapid rise in the use of glass containers in the food and pharmaceutical industries, demand for a sustainable and efficient packaging supply has increased significantly. At the same time, environmental concerns and regulatory requirements regarding waste recycling have turned the design of glass-container supply chains into a strategic challenge in industrial management. In response, this study proposes a three-phase hybrid approach for designing a closed-loop supply chain for glass containers under transportation-infrastructure disruption risks and uncertainty. In Phase 1, a system dynamics approach is employed to forecast customer demand. In Phase 2, suppliers are ranked using the Combined Compromise Solution (COCOSO) multi-criteria decision-making method. Building upon the outcomes of these phases, Phase 3 develops a multi-product, multi-period stochastic programming model that minimizes the total cost of the glass-container supply chain while determining decisions such as supplier selection, production quantities, transportation flows across echelons, lateral transshipments among distribution centers, recycling, disposal, and shortage management. The proposed model is implemented on three numerical examples, and the results of the sensitivity analysis on the key parameters of the problem are presented.
کلیدواژهها English
Copyright © Hamidreza Yazdi, Alireza Parvardeh, Fatemeh Sabouhi
License
This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.
