Evaluating reverse supply chain efficiency: manufacturer’s perspective. (English) Zbl 1407.90058
Summary: The paper aims to illustrate the use of fuzzy data envelopment analysis (DEA) in analyzing reverse supply chain (RSC) performance from the manufacturer’s perspective. By using an alternative \(\alpha\)-cut approach, the fuzzy DEA model was converted into a crisp linear programming problem, thereby altering the problem to an interval programming one. The model is able to obtain precise and robust efficiency values. An investigation was also made between the obtained efficiency scores and certain relevant background information of the companies. The study revealed that while ISO 14001 certification usually ensures an environmentally friendly supply chain network, companies which have implemented RSC techniques since a longer duration do not necessarily have a more efficient supply chain in general.
MSC:
| 90B06 | Transportation, logistics and supply chain management |
| 90C08 | Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) |
| 90B50 | Management decision making, including multiple objectives |
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