scholarly journals Performance Analysis of Reverse Supply Chain Systems by Using Simulation

2013 ◽  
pp. 134-141 ◽  
Author(s):  
Shigeki Umeda
Keyword(s):  
Supply Chain ◽  
Performance Analysis ◽  
Reverse Supply Chain

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.

scholarly journals Factors Influencing Consumers’ Intention to Return the End of Life Electronic Products through Reverse Supply Chain Management for Reuse, Repair and Recycling

2017 ◽  
Vol 9 (9) ◽  
pp. 1657 ◽  
Author(s):  
Kamyar Kianpour ◽  
Ahmad Jusoh ◽  
Abbas Mardani ◽  
Dalia Streimikiene ◽  
Fausto Cavallaro ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
End Of Life ◽  
Reverse Supply Chain ◽  
Electronic Products ◽  
Chain Management ◽  
Factors Influencing ◽  
Intention To Return
Sign in / Sign up

Export Citation Format

Share Document