Stakelberg game analysis of reverse supply chain with group evolutionary characteristic

2013 ◽  
Vol 30 (1) ◽  
pp. 103-108
Author(s):  
Jun Yi
Keyword(s):  
Supply Chain ◽  
Reverse Supply Chain ◽  
Game Analysis ◽  
Evolutionary Characteristic

Game Analysis of Reverse Supply Chain Based on Government Regulation

2014 ◽  
Vol 915-916 ◽  
pp. 1528-1531
Author(s):  
Jian Cao ◽  
Li Ling Hu ◽  
Qing Qin Yao
Keyword(s):  
Game Theory ◽  
Supply Chain ◽  
Government Regulation ◽  
Optimal Decision ◽  
Reverse Supply Chain ◽  
Analysis Model ◽  
Game Analysis ◽  
Protection Strategy ◽  
Optimal Fiscal Policy ◽  
The Government

Extended producer responsibility (EPR) system is an environmental protection strategy to recycle end-of-life products. A dynamic analysis model between the government and the reverse supply chain (RSC) system operated under the EPR instrument was established. Game theory was applied to analyze the optimal fiscal policy of the government and the optimal decision of the participating enterprises. It concludes that governments environmental regulation is effective to improve the manufacturers remanufacturing rate and the recyclers effort-extent.

Identification of the Barriers of Reverse Supply Chain

2020 ◽  
Author(s):  
Sunil Sunil ◽  
Dharmanshu Kumar ◽  
Udit Mehta ◽  
Rakesh Kumar
Keyword(s):  
Supply Chain ◽  
Reverse Supply Chain

scholarly journals A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference

2021 ◽  
Vol 18 (9) ◽  
pp. 4760
Author(s):  
Peng Li ◽  
Di Wu
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Environmental Sustainability ◽  
Rapid Development ◽  
Consumer Preference ◽  
Service Level ◽  
Mixed Integer ◽  
Reverse Supply Chain ◽  
Related Factors ◽  
Dual Channel

The rapid development of e-commerce technologies has encouraged collection centers to adopt online recycling channels in addition to their existing traditional (offline) recycling channels, such the idea of coexisting traditional and online recycling channels evolved a new concept of a dual-channel reverse supply chain (DRSC). The adoption of DRSC will make the system lose stability and fall into the trap of complexity. Further the consumer-related factors, such as consumer preference, service level, have also severely affected the system efficiency of DRSC. Therefore, it is necessary to help DRSCs to design their networks for maintaining competitiveness and profitability. This paper focuses on the issues of quantitative modelling for the network design of a general multi-echelon, dual-objective DRSC system. By incorporating consumer preference for the online recycling channel into the system, we investigate a mixed integer linear programming (MILP) model to design the DRSC network with uncertainty and the model is solved using the ε-constraint method to derive optimal Pareto solutions. Numerical results show that there exist positive correlations between consumer preference and total collective quantity, online recycling price and the system profits. The proposed model and solution method could assist recyclers in pricing and service decisions to achieve a balance solution for economic and environmental sustainability.

Analysis of some incentives on two‐echelon reverse supply chain with a strategic consumer: The case of unwanted medications in households

2021 ◽  
Author(s):  
Iside Rita Laganà ◽  
Somayeh Sharifi ◽  
Mehrnoosh Khademi ◽  
Mehdi Salimi ◽  
Massimiliano Ferrara
Keyword(s):  
Supply Chain ◽  
Reverse Supply Chain

scholarly journals Optimizing a Reverse Supply Chain Network for Electronic Waste under Risk and Uncertain Factors

2021 ◽  
Vol 11 (4) ◽  
pp. 1946
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Tham Thi Tran
Keyword(s):  
Supply Chain ◽  
Electronic Waste ◽  
Decision Makers ◽  
Reverse Supply Chain ◽  
Satisfactory Solution ◽  
Level Of Satisfaction ◽  
Proposed Model ◽  
Objective Value ◽  
The Right ◽  
The Impact

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.

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