Data-driven on reverse logistic toward industrial 4.0: an approach in sustainable electronic businesses-Reference-Cited by-同舟云学术

Data-driven on reverse logistic toward industrial 4.0: an approach in sustainable electronic businesses

Published:2023-02-15 Issue: Volume: Page:1-37
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Tseng Ming-Lang¹²³^ORCID,Bui Tat-Dat¹^ORCID,Lan Shulin⁴,Lim Ming K.³⁵

Affiliation:

1. Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan

2. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

3. UKM-Graduate School of Business, Universiti Kebangsaan Malaysia, Selangor, Malaysia

4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

5. Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

State Key Lab of Digital Manufacturing Equipment and Technology

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2023.2175804

Reference63 articles.

1. Lagrangian heuristic algorithm for green multi-product production routing problem with reverse logistics and remanufacturing

2. Multi-layer value stream assessment of the reverse logistics network for inert construction waste management

3. An Insight into Reverse Logistics with a Focus on Collection Systems

4. A reverse logistics network design

5. Using GIS and optimization to manage construction and demolition waste: The case of abandoned quarries in Lebanon

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