Assessing resilience and sustainability of suppliers: an extension and application of data envelopment analytical hierarchy process

Abstract

In the globalization era, assessing the resilience and sustainability of suppliers is a key issue in supply chains (SCs). The literature survey shows data envelopment analysis (DEA) and analytic hierarchy process (AHP) are the two most effective approaches for evaluating suppliers. To take full advantage of these powerful approaches, we propose a novel data envelopment analytical hierarchy process (DEAHP) model. To this end, first, we combine the multiplier form of the slacks-based measure (SBM) model with goal programming (GP) and a common set of weights model to reduce the possibility of alternative optimal solutions. Then, we try to reduce the number of alternative optimal solutions of CSW. Next, to find the range of optimal weights, by setting the optimal objective functions to a constant value, minimum and maximum weights of inputs and outputs are calculated. Finally, to choose the weights, three strategies are suggested. Using the optimal weights, we calculate the pairwise comparison matrix and rank suppliers. To demonstrate the usefulness of the proposed approach, a case study in the resin industry is given.