| Title |
Performance evaluation of green logistics: Paving the way towards circular economy |
| ID_Doc |
5059 |
| Authors |
de Souza, ED; Kerber, JC; Bouzon, M; Rodriguez, CMT |
| Title |
Performance evaluation of green logistics: Paving the way towards circular economy |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.clscn.2021.100019 |
| Abstract |
The linear flow of production causes several problems, mainly concerning the environmental pillar of sustain -ability. In logistics, a more circular and green production system is linked to the implementation of Green Logistics (GL), which aims to reduce the emission of greenhouse gases, the use of fossil energy sources and the return of materials after their end-of-life. Given the need to reduce the environmental damage of plastic packaging used in the production system, the present study uses a tool to evaluate the performance of GL in the plastic sector to help improve environmental performance within organizations and reduce negative envi-ronmental impact. The Analytic Hierarchy Process (AHP) method was used with specialists to rank 27 green practices and indicators of the developed tool. Subsequently, the indicators were normalized to create a unified index of the GL in organizations. The tool was applied in two companies of the plastic packaging chain. Results show that some areas of green logistics are being overlooked when companies approach environmental sustain -ability, thus compromising the progress towards GL. In contrast, the green transportation category presents the worst results, followed by green stocking, green packaging and reverse logistics. Discussions and suggestions for future research on the subject are also drawn. This study presents a practical tool that will help practitioners easily evaluate companies' GL using a unified index. |
| Author Keywords |
Green logistics; Green supply chain; Circular economy; Sustainability; Performance evaluation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001044649000006 |
| WoS Category |
Operations Research & Management Science |
| Research Area |
Operations Research & Management Science |
| PDF |
https://doi.org/10.1016/j.clscn.2021.100019
|