Sustainable Supply Chains in Industrial Engineering and Management-Reference-Cited by-同舟云学术

Sustainable Supply Chains in Industrial Engineering and Management

Published:2023-07-28 Issue:8 Volume:11 Page:2280
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Liu Conghu¹^ORCID,Wang Nan¹^ORCID,Song Xiaoqian²^ORCID,Liu Zhi³,Wei Fangfang⁴

Affiliation:

1. School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, China

2. China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China

3. College of Management Engineering, Anhui Polytechnic University, Wuhu 230009, China

4. College of Economics and Management, Shanghai Polytechnic University, Shanghai 201209, China

Abstract

The integration of information technologies with the industry has marked the beginning of the Fourth Industrial Revolution and has promoted the development of industrial engineering [...]

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

https://www.mdpi.com/2227-9717/11/8/2280/pdf

Reference19 articles.

1. Gong, Y., and He, G. (2023). Research on Low-Carbon Strategies of Supply Chains, Considering Livestreaming Marketing Modes and Power Structures. Processes, 11.

2. Mu, W., Xie, J., Ding, H., and Gao, W. (2023). Data-Driven Evaluation of the Synergistic Development of Economic-Social-Environmental Benefits for the Logistics Industry. Processes, 11.

3. Wang, H., Dai, B., Li, X., Yu, N., and Wang, J. (2023). A Novel Hybrid Model of CNN-SA-NGU for Silver Closing Price Prediction. Processes, 11.

4. Guo, Y., and Ding, H. (2022). Coupled and Coordinated Development of the Data-Driven Logistics Industry and Digital Economy: A Case Study of Anhui Province. Processes, 10.

5. Yang, Y., Hu, F., Ding, L., and Wu, X. (2022). Coupling Coordination Analysis of Regional IEE System: A Data-Driven Multimodel Decision Approach. Processes, 10.