Bibliographic Details
| Title: |
Examining green three-echelon supply chain structures link with product track scheme: Implications for green technologies |
| Authors: |
Min Wang |
| Source: |
Frontiers in Environmental Science, Vol 10 (2022) |
| Publisher Information: |
Frontiers Media S.A., 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Environmental sciences |
| Subject Terms: |
green energy technologies, product line design, supply chain systems, DEA, green systems, Environmental sciences, GE1-350 |
| Description: |
The study aims to inquire about the relationship between green three-echelon supply chain systems and product line design with the emergence of green technologies. In this study, a unique social welfare vector is presented for use in gauging the sustainability of product line design, and a sustainable product line design technique is provided for upstream suppliers to adjust the product categories they offer. This social welfare vector is a representation of a supply chain with one supplier, many producers, and one retailer. The provider may determine whether a product line design is a Pareto optimum with the use of the social welfare vector and a multi-criteria model built on the principles of data envelopment analysis (DEA). The study findings came up with an alternate solution approach for upstream suppliers to achieve Pareto optimum product line design in huge data set scenarios. This study also recommends multiple implications for manufacturers and retailers farther down the supply chain, who may use this information to increase the channel’s sustainability through green energy technologies in product line systems. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2296-665X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fenvs.2022.994479/full; https://doaj.org/toc/2296-665X |
| DOI: |
10.3389/fenvs.2022.994479 |
| Access URL: |
https://doaj.org/article/21ad6409b40f49d2ae8f35181c1bb413 |
| Accession Number: |
edsdoj.21ad6409b40f49d2ae8f35181c1bb413 |
| Database: |
Directory of Open Access Journals |