scholarly journals E-Waste Reverse Supply Chain: A Review and Future Perspectives

2019 ◽  
Vol 9 (23) ◽  
pp. 5195 ◽  
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Luu Quoc Dat
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Evaluation ◽  
Electronic Waste ◽  
Future Research ◽  
Reverse Supply Chain ◽  
Future Perspectives ◽  
Product Returns ◽  
Specific Product ◽  
Significant Attention

Electronic waste (e-waste) has become one of the fastest-growing waste, leading a globe issue. Reverse supply chain (RSC) is considered a potential way for e-waste management. Over the last two decades, RSC has received significant attention from industries, governments, experts, and researchers. A large number of studies have been published in the field of e-waste RSC. Most of the existing review papers concentrated on the general RSC models for all types of returned products. However, the review papers focusing on specific products, such as e-waste, are quite limited. To fill this gap published papers in the area of RSC for a specific product, e-waste, from 1999 to 2019 have been selected for review and analysis in this study. E-waste RSC studies have been divided into four main groups, namely, factors of implementation, performance evaluation and decision making, foresting product returns, and network design. Finally, some potential directions for e-waste RSC models have been suggested for future research.

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.

Building Theory of Green Procurement using Fuzzy TISM and Fuzzy DEMATEL Methods

2016 ◽  
Vol 3 (2) ◽  
pp. 21-49 ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Positive Association ◽  
Business Environment ◽  
Future Research ◽  
Quantitative Methodology ◽  
Bottom Line ◽  
Fuzzy Dematel ◽  
Green Procurement ◽  
Expert Interview

Green procurement is the set of procurement policies held, action taken and relationships formed in response to concerns linked with the natural environment. Green procurement has drawn major attention of supply chain practitioners' and has become the theme of most of the seminars and workshops. Green procurement is gaining popularity due to its positive association with the triple bottom line. Firms implement green procurement to achieve sustainability in this dynamic business environment. There are several published papers that have adopted either qualitative or quantitative methodology to build and test theories in the discipline of green procurement. However multiple elements influencing green procurement creates decision making problem among supply chain practitioners. This has motivated to pursue the current study and further extend the theory of green procurement. The main purpose of the current study is to investigate the inter-relationships between elements of green procurement using advanced multi criteria decision making techniques. First systematic review of literature is done to identify the leading drivers. Secondly these drivers were refined through expert interview from manufacturing sector. Thirdly Fuzzy TISM and Fuzzy DEMATEL method were applied to find the intensity of influence of green procurement drivers and make a comparative study of elements. Finally, the conclusions of research are drawn and also present the managerial implications and directions of future research.

Development Countermeasures of the Reverse Logistics Service Chain of Electronic Waste

2012 ◽  
Vol 610-613 ◽  
pp. 2187-2191
Author(s):  
Hua Li Sun ◽  
Hao Chen ◽  
Yao Feng Xue
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Electronic Waste ◽  
Service Science ◽  
Reverse Supply Chain ◽  
Service Chain ◽  
Logistics Service ◽  
Development Countermeasures

With the increasing of electronic waste and the serious pollution to the environment, more and more attentions are paid to the reverse logistics of electronic waste. Problems in the development of the reverse logistics of electronic waste in China are presented. Development countermeasures of the reverse logistics service chain of electronic waste are proposed based on the theories of modern service science and reverse supply chain.

scholarly journals A Decision Support System for Pricing and Minimizing Product Returns

10.28945/4522 ◽  
2020 ◽  
Author(s):  
Yahel Giat ◽  
Dan Bouhnik
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Future Research ◽  
Pricing Model ◽  
Pricing Models ◽  
Product Returns ◽  
Current Application ◽  
Business Setting

Aim/Purpose: The first goal is to develop a decision support system for pricing and production amounts for a firm facing high levels of product returns. The second goal is to improve the management of the product returns process. Background: A food importer and manufacturer in Israel with a significant product returns rate. Methodology: A decision support module was added to the plant’s information system. The module is based on a supply chain pricing model and uses the sales data to infer future demand’s distribution. Ergonomic models were used to improve the design of the returns warehouse and the handling of the returns. Contribution: The decision support system allows to improve the plant’s pricing and quantity planning. Consequently, it reduced the number of product returns. The new design of the returns process improves worker’s productivity, reduces losses and results in safer outcomes. Findings: The results show the promise of incorporating pricing supply chain models into informing systems to achieve a practical business goal. Recommendations for Practitioners: This work can be replicated for different suppliers, manufacturers and retailers that suffer from product returns. They will benefit from the reduction in returns, as well as the decrease in the losses associated with these returns. Recommendation for Researchers: It is worthwhile to research whether decision support systems can be applied to other aspects of the organizations’ operations. Impact on Society: Product returns is a lose-lose situation for producers, retailers and customers. Moreover, mismanagement of these returns is harmful for the environment and may result in the case of foods, in health hazards. Reducing returns and improving the handling improves sustainability and is beneficial for society. Future Research: The DSS’s underlying pricing model assumes a specific business setting. This can be extended using other pricing models and applying them in a similar fashion to the current application.

scholarly journals Design and Implementation of Pay for Performance

2013 ◽  
pp. 396-423 ◽  
Author(s):  
Michael Gibbs
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Performance Measures ◽  
Pay For Performance ◽  
Employee Selection ◽  
Job Design ◽  
Future Research ◽  
Practical Implementation ◽  
Design And Implementation ◽  
Subjective Performance Evaluation

A large, mature and robust economics literature now provides a useful framework for understanding incentives. This chapter uses the lessons of that literature to discuss how to design and implement pay for performance in practice. A unified treatment of properties of numeric performance measures is provided, including how performance measures relate to employee knowledge and decision making. Subjective performance evaluation, and the tie of evaluations to rewards, are analyzed. Practical implementation issues, such as matching of pay for performance to job design, motivating creativity, and links between incentives and employee selection, are considered. The chapter concludes with suggested directions for future research.

scholarly journals Strategies for Improving the E-Waste Management Supply Chain Sustainability in Indonesia (Jakarta)

2021 ◽  
Vol 13 (24) ◽  
pp. 13955
Author(s):  
Nurhadi Wibowo ◽  
Jerry Kuswara Piton ◽  
Rahmat Nurcahyo ◽  
Djoko Sihono Gabriel ◽  
Farizal Farizal ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Public Education ◽  
Waste Management ◽  
Electronic Waste ◽  
Waste Streams ◽  
Analytical Network Process ◽  
The Public ◽  
The World ◽  
Network Process

Electronic waste (e-waste) has become one of the fastest-growing waste streams in the world. However, only 17.4% of it can be collected and recycled in 2019. This study aims to formulate strategies to improve the supply chain of e-waste management in Indonesia. Methods used to develop strategies in this study are the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the Analytical Network Process (ANP), Strength–Weaknesses–Opportunities–Threats (SWOT), and the Quantitative Strategic Planning Matrix (QSPM). The results show that infrastructure criteria have the largest weight, that is 0.267, followed by a social environment with 0.261, regulation with 0.244, stakeholder with 0.122, and economy with 0.054. The top priority of the selected strategies is to improve public education (ST1) and provide socialization of regulations and sanctions to the public (ST2).

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