A carbon footprint-based closed-loop supply chain model under uncertainty with risk analysis: A case study |
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| Institution: | 1. Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran;2. Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran;1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Centre for Sustainable Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Odense M 5230, Denmark;1. Department of Operations and IT, ICFAI Business School (IBS) Hyderabad, ICFAI Foundation for Higher Education (IFHE) University, Shankerpally Road, Hyderabad, A.P. 501203, India;2. Department of Marketing and Supply Chain Management, Fogelman College of Business & Economics, The University of Memphis, Memphis, TN 38139, USA;1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China;2. Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar;3. Shanghai Research Center for Industrial Informatics, CIM Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China;1. School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran;2. Universal Scientific Education and Research Network (USERN), Tehran, Iran;3. Department of Operations Management & Strategy, School of Management, State University of New York at Buffalo, Buffalo, NY, USA;4. Ecole des Mines de Saint-Etienne, Department of Manufacturing Sciences and Logistics, CMP, CNRS UMR 6158 LIMOS, 880 avenue de Mimet, 13541 Gardanne, France |
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| Abstract: | The management of products’ end-of-life and the recovery of used products has gained significant importance in recent years. In this paper, we address the carbon footprint-based problem that arises in a closed-loop supply chain where returned products are collected from customers. These returned products can either be disposed of or be remanufactured to be resold as new ones. Given this environment, an optimization model for a closed-loop supply chain (CLSC) in which carbon emission is expressed in terms of environmental constraints, i.e., carbon emission constraints, is developed. These constraints aim to limit the carbon emission per unit of product supplied with different transportation modes. Here, we design a closed-loop network where capacity limits, single-item management and uncertainty on product demands and returns are considered. First, fuzzy mathematical programming is introduced for uncertain modeling. Then, the statistical approach to the possibility to synthesize fuzzy information is utilized. Therefore, using a defined possibilistic mean and variance, we transform the proposed fuzzy mathematical model into a crisp form to facilitate efficient computation and analysis. Finally, the risk caused by violating the estimated resource constraints is analyzed so that decision makers (DMs) can trade off between the expected cost savings and the expected risk. We utilize data from a company located in Iran. |
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| Keywords: | Green supply chain management Transport mode selection Risk analysis Preference model Interval programming Fuzzy programming |
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