Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Zhang, Yingtinga | Deng, Yanyib; *
Affiliations: [a] School of Management Engineering, Guilin College, Guilin, China | [b] Business School, Nanning College of Technology, Nanning, China
Correspondence: [*] Corresponding author: Yanyi Deng, Business School, Nanning College of Technology, Nanning, China. E-mail: deng_yanyi@outlook.com.
Abstract: With the improvement of environmental awareness, green logistics, as a kind of logistics mode that can realize the unity of economic benefits and environmental benefits, has been paid more and more attention by the academia and the industry. However, how to effectively evaluate the operation effect of green logistics is still a problem to be solved. To solve this problem, this paper proposes a green logistics evaluation index system based on factor analysis, and verifies its effectiveness through simulation data. In the process of building and validating the model, rigorous mathematical modeling methods were used, combined with a large number of actual data. The results show that the evaluation index system of this study can accurately predict the operation effect of green logistics, and provide a practical evaluation tool for enterprises. Finally, the model is optimized to further improve its prediction accuracy. This study is of great significance to theoretical research and practical application.
Keywords: Green logistics, evaluation index system, factor analysis, model verification, optimization strategy
DOI: 10.3233/JCM-247491
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 4-5, pp. 2629-2642, 2024
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl