Reverse supply chain issues in Indian electronics industry: a case study-Reference-Cited by-同舟云学术

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Reverse supply chain issues in Indian electronics industry: a case study

Published:2018-07-26 Issue:3 Volume:8 Page:115-129
ISSN:2210-464X
Container-title:Journal of Remanufacturing
language:en
Short-container-title:Jnl Remanufactur

Author:

Agrawal Saurabh,Singh Rajesh K.,Murtaza Qasim

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Waste Management and Disposal

Link

http://link.springer.com/article/10.1007/s13243-018-0049-7/fulltext.html

Reference42 articles.

1. Agrawal S, Singh RK, Murtaza Q (2014) Forecasting product returns for recycling in Indian electronics industry. J Adv Manage Res 11(1):102–114

2. Agrawal S, Singh RK, Murtaza Q (2015a) A literature review and perspectives in reverse logistics. Resour Conserv Recycl 97:76–92

3. Agrawal S, Singh RK, Murtaza Q (2015b) Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology. J Industrial Eng Int 1–3

4. Agrawal S, Singh RK, Murtaza Q (2016a) Outsourcing decisions in reverse logistics: sustainable balanced scorecard and graph theoretic approach. Resour Conserv Recycl 108:41–53

5. Agrawal S, Singh RK, Murtaza Q (2016b) Triple bottom line performance evaluation of reverse logistics. Compet Rev 26(3):289–310

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1. An integrated BWM–SWARA approach to identify barriers in implementing reverse logistics for an effective supply chain management: a critical study of five bottle manufacturing companies in Odisha (India);International Journal of System Assurance Engineering and Management;2024-08-20

2. Leveraging Social Media to Gauge Public Opinion on Waste Electrical and Electronic Equipment Management;Journal of International Commerce, Economics and Policy;2024-06-21

3. Artificial intelligence-based reverse logistics for improving circular economy performance: a developing country perspective;The International Journal of Logistics Management;2024-04-16

4. Model development of community-based willingness to recycle for urban mining;Cleaner Engineering and Technology;2024-04

5. Optimizing Supply Chain Operations in the Electronics Industry Using Machine Learning and Integer Linear Programming;Lecture Notes in Networks and Systems;2024

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