An Application of AHP and Sensitivity Analysis for Measuring the Best Strategy of Reverse Logistics: A Case Study of Photovoltaic Industry Chain

This work presents an evaluation model that adopts several important criteria based on benefits, opportunities, costs, and risks (BOCR) perspective, enabling the collecting strategy of reverse logistics (RL) of the Taiwan photovoltaic industry (TPI) supply chain is the most appropriate. Major criteria weights are analyzed using the analytic hierarchy process (AHP) and sensitivity analysis. Analysis results indicate that the proposed evaluation model enables the collecting strategy of RL in the TPI supply chain more objectively by allowing them to deploy effectively. Importantly, the proposed model can provide the TPI accreditation strategy in RL a reference material, making it highly applicable for academia and commercial purposes.

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