A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value

Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse service providers, outsourcing model has become main mode logistics. Whether distribution cooperative profit among multiple participants fair or not determines quality implementation mode. The traditional Shapley value often used distribute profit. Since its basis marginal contribution each member enterprise different alliances, it necessary estimate alliance. However, difficult ensure accuracy this estimation, which makes lack objectivity. Once actual share deviates from expectation enterprise, sustainability alliance will be affected. This study considers efficiency applies replace contribution. As input output data cannot accurately separated those whole they are uncertain. In paper, we assume that enterprise’s fuzzy numbers construct measurement based on DEA. Then, define characteristic function propose a modified fairly Finally, example comprising two manufacturing enterprises, one sales provider put forward verify model’s feasibility effectiveness. paper provides reference for