A Bi-objective two-stage stochastic optimization model for sustainable reverse supply chain network design under carbon tax policy and government subsidy considering product quality

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2023-05-25 DOI:10.1080/21681015.2023.2213688
Mohammadreza Eslamipirharati, F. Jolai, A. Aghsami
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引用次数: 2

Abstract

ABSTRACT There is a growing concern over environmental pollution resulting from the production. Moreover, the expansion of various industries has led to an increased demand for raw materials. To address these challenges, this paper aims to investigate the bi-objective optimization of a sustainable reverse supply chain network while considering two key sources of uncertainty in the returned product quality and the remanufacturing capacity. Additionally, the study considers the effects of carbon tax policies and government subsidies on remanufactured products, while also focusing on three important sustainability aspects - economic, social, and environmental. The study uses two quality thresholds at inspection centers to sort products, and the epsilon constraint and NSGA-II are applied to solve the model. Through numerical analysis, the research demonstrates that objective functions are sensitive to uncertain parameters and minimum acceptable quality levels. Furthermore, the study reveals that government subsidies can offset the negative effects of carbon tax policies. Graphical abstract
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考虑产品质量的碳税政策和政府补贴下可持续逆向供应链网络设计的双目标两阶段随机优化模型
由于生产而造成的环境污染越来越受到人们的关注。此外,各种工业的扩张导致对原材料的需求增加。为了应对这些挑战,本文旨在研究可持续逆向供应链网络的双目标优化,同时考虑退货质量和再制造能力这两个关键的不确定性来源。此外,该研究还考虑了碳税政策和政府补贴对再制造产品的影响,同时也关注了三个重要的可持续性方面——经济、社会和环境。本研究采用检验中心的两个质量阈值对产品进行分类,并应用epsilon约束和NSGA-II对模型进行求解。通过数值分析,研究表明目标函数对不确定参数和最小可接受质量水平敏感。此外,研究表明,政府补贴可以抵消碳税政策的负面影响。图形抽象
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CiteScore
7.50
自引率
6.70%
发文量
21
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