A robust design for a closed-loop supply chain network under an uncertain environment

Ramezani, Majid; Bashiri, Mahdi; Tavakkoli–Moghaddam, Reza

doi:10.1007/s00170-012-4369-8

Cited by 85 publications

(35 citation statements)

References 34 publications

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“…They examined the performance of different closed-loop supply chains under different channels of leadership [10]. Ramezani et al presented a robust design model for a multi-product, multi-echelon, closed-loop logistic network, in an uncertain environment [11]. Zhang et al examined a dynamic capacitated production-planning problem for a steel enterprise, and presented a closed-loop supply chain with the remanufacturing model [12].…”

Section: Introductionmentioning

confidence: 99%

The Carbon Subsidy Analysis in Remanufacturing Closed-Loop Supply Chain

Du²,

Yang

et al. 2014

Sustainability

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Abstract:Carbon subsidy is an important measure for the government to encourage enterprises to reduce carbon emission. This paper analyzes the impact of carbon subsidy on remanufacturing closed-loop supply chain (RCLSC). We explore the profits and the carbon emission quantities of three types of a supply chain: forward supply chain, remanufacturing closed-loop supply chain, and RCLSC with the carbon subsidy. This paper also discusses when and how the government implements the policy of carbon subsidy to encourage an enterprises' behavior of cutting carbon emission from the view of RCLSC. We provide the close form of the conditions under which the government should implement the carbon subsidy strategy and the carbon subsidy of government could increase the profits of agents of the supply chain and deduce the carbon emission of the whole supply chain simultaneously. It is found that the government should implement the carbon subsidy strategy only when the recycling price is within a certain range, and the carbon subsidy of government should be within a reasonable range.

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Section: Introductionmentioning

confidence: 99%

The Carbon Subsidy Analysis in Remanufacturing Closed-Loop Supply Chain

Du²,

Yang

et al. 2014

Sustainability

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“…Many important models applied uncertainty as a crucial aspect in the CLSC management (Biehl et al, 2007;Salema et al, 2007;Pishvaee & Torabi, 2010b;Pishvaee et al, 2011;Kaya et al, 2013;Rodriguez et al,2014). In terms of this issue, Ramezani et al (2013) presented a robust optimization approach to cope with the uncertainty of demand and the return rate in a multi-product supply chain closed-loop network. Cardoso et al (2013) developed a mixed integer linear programming for the design and planning model for CLSC where capacity expansion and dynamic transportation links were explored considering simultaneously all processes and uncertain product demand.…”

Section: Literature Overviewmentioning

confidence: 97%

Optimal design of closed-loop supply chain networks with multifunctional nodes

Kalaitzidou

Longinidis

Georgiadis

2015

Computers & Chemical Engineering

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“…Research has also been expanded to consider multiple products. Ramezani et al [22] proposed a robust multi-product and multi-level closed-loop logistics network model considering both forward and reverse processes in uncertain environments. Baghalian et al [23] used a RO approach to address the demand-side and supply-side uncertainties.…”

Section: Literature Reviewmentioning

confidence: 99%

A p-Robust Green Supply Chain Network Design Model under Uncertain Carbon Price and Demand

2019

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The problem of designing a multi-product, multi-period green supply chain network under uncertainties in carbon price and customer demand is studied in this paper. The purpose of this study is to develop a robust green supply chain network design model to minimize the total cost and to effectively cope with uncertainties. A scenario tree method is applied to model the uncertainty, and a green supply chain network design model is developed under the p-robustness criterion. Furthermore, the solution method for determining the lower and upper bounds of the relative regret limit is introduced, which is convenient for decision-makers to choose the corresponding supply chain network structure through the tradeoff between risk and cost performance. In particular, to overcome the large scale of the model caused by a high number of uncertain scenarios and reduce the computational difficulty, a scenario reduction technique is applied to filter the scenarios. Numerical calculations are executed to analyze the influence of relevant parameters on the performance of the designed green supply chain network. The results show that the proposed p-robust green supply chain network design model can effectively deal with carbon and demand uncertainties while ensuring cost performance, and can offer more choices for decision-makers with different risk preferences.

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A robust design for a closed-loop supply chain network under an uncertain environment

Cited by 85 publications

References 34 publications

The Carbon Subsidy Analysis in Remanufacturing Closed-Loop Supply Chain

The Carbon Subsidy Analysis in Remanufacturing Closed-Loop Supply Chain

Optimal design of closed-loop supply chain networks with multifunctional nodes

A p-Robust Green Supply Chain Network Design Model under Uncertain Carbon Price and Demand

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