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Multi-objective Robust Optimization for Multi-stage-multi-product Agile Closed-loop Supply Chain Under Uncertainty in the Context of Circular Economy by Saeid Jafarzadeh Ghoushchi; Iman Hushyar; Kamyar Sabri-Laghaie is a Business, Management and Accounting article available to read on EtoBox.

What is Multi-objective Robust Optimization for Multi-stage-multi-product Agile Closed-loop Supply Chain Under Uncertainty in the Context of Circular Economy about?

## Purpose A circular economy (CE) is an economic system that tries to eliminate waste and continually use resources. Due to growing environmental concerns, supply chain (SC) design should be based on the CE considerations. In addition, responding and satisfying customers are the challenges managers constantly encounter. This study aims to improve the design of an agile closed-loop supply chain (CLSC) from the CE point of view. ## Design/methodology/approach In this research, a new multi-stage, multi-product and multi-period design of a CLSC network under uncertainty is proposed that aligns with the goals of CE and SC participants. Recycling of goods is an important part of the CLSC. Therefore, a multi-objective mixed-integer linear programming model (MILP) is proposed to formulate the problem. Besides, a robust counterpart of multi-objective MILP is offered based on robust optimization to cope with the uncertainty of parameters. Finally, the proposed model is solved using the e-constraint method. ## Findings The proposed model aims to provide the strategic choice of economic order to the suppliers and third-party logistic companies. The present study, which is carried out using a

Who reads Multi-objective Robust Optimization for Multi-stage-multi-product Agile Closed-loop Supply Chain Under Uncertainty in the Context of Circular Economy?

Author

Saeid Jafarzadeh Ghoushchi; Iman Hushyar; Kamyar Sabri-Laghaie

Publisher

Emerald

Published

2021

Language

EN

Field

Business, Management and Accounting (Social Sciences)