| Title |
Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review |
| ID_Doc |
24458 |
| Authors |
Nunes, DRD; Nascimento, DD; Matos, JR; Melo, ACS; Martins, VWB; Braga, AE Jr |
| Title |
Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review |
| Year |
2023 |
| Published |
Logistics-Basel, 7, 3 |
| DOI |
10.3390/logistics7030036 |
| Abstract |
Background: The interest in the topic of performance assessment in reverse supply chains (RSC) is increasing, although the body of research is still in its early stages. As this is a developing field, it is crucial to expand discussions on topics that have not yet been thoroughly examined, such as the intrinsic bias of indicators and metrics that may be associated with specific operational, economic, environmental perspectives, etc. Such perspectives should be considered in the decision-making process within the context of reverse logistics (RL) and waste management (WM). The aim of this research was to identify different perspectives employed in the development of proposed models in the literature. Methods: A systematic literature review was conducted to analyze thirty papers from Scopus, Web of Science, and Science Direct databases without time restrictions. Results: The review identified various ways in which authors grouped perspectives, including qualitative and quantitative, sustainability, and operational perspectives, among others. Conclusions: This study revealed several gaps in the field, including limited studies on RSC performance assessment and a lack of studies linking performance assessment to decision-making components. |
| Author Keywords |
reverse logistics; performance indicators; waste management; circular economy; sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001073624000001 |
| WoS Category |
Management; Operations Research & Management Science |
| Research Area |
Business & Economics; Operations Research & Management Science |
| PDF |
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