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

Majid Azadi (), Zohreh Moghaddas () and Reza Farzipoor Saen ()
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Majid Azadi: Deakin University
Zohreh Moghaddas: Qazvin Branch, Islamic Azad University
Reza Farzipoor Saen: Sultan Qaboos University

Annals of Operations Research, 2025, vol. 346, issue 2, No 2, 705-750

Abstract: 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.

Keywords: Resilient-sustainable suppliers; Performance measurement; Data envelopment analytical hierarchy process (DEAHP); Common set of weight (CSW); Goal programming (GP); Slacks-based measure (SBM) (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-022-04790-5

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