Prioritizing resilient capability factors of dealing with supply chain disruptions: an analytical hierarchy process (AHP) application in the textile industry

Abstract

PurposeThe purpose of the study is to determine and prioritize the resilient capability factors at different stages of supply chain disruptions in Pakistan's textile industry.Design/methodology/approachThe study employs a two-stage methodology. In the first stage, the extant literature was reviewed, and based on that, experts' panel consultations were conducted to identify the resilient capability factors at the different stages of supply chain. In the second stage, analytical hierarchy process (AHP) methodology was used to rank the resilient capability factors needed in Pakistan's textile industry.FindingsThe results show that building an integrated supply chain ranking is one of the most critical practices in bolstering supply chain resilience. The results also reveal that firms should focus on the readiness phase of resilience as it is categorized as the most important phase.Practical implicationsThe findings of the study provide supply chain professionals with a clear consideration of the critical factors that are needed to build supply chain resilience. From an industry-specific perspective, the study offers guidelines on what resilient capability factors should be regarded as critical when implementing resilient capabilities in order to reduce the negative impacts of disruptions.Originality/valueThe study is among the first studies in prioritizing the resilient capability factors at different phases of supply chain disruptions. The study would provide further opportunities for future researchers in using other multicriteria decision-making tools.

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“…There are four basic principles used to solve the AHP problem: making hierarchy, scoring criteria and alternatives, determining the priority, and measuring consistency (Kusrini, 2016). AHP method has been widely applied in many fields of study, such as supply chain management (Mathiyazhagan et al, 2015;Piprani;Jaafar;Mohezar-Ali, 2020), employee performance assessment (Ilhami;Rimantho, 2017), decision support system (Mauko;Muslimin;Sugiartawan, 2018), determination of roadwork priority (Kurniawan;Assegaff, 2019), Geographic Information System (Merrouni et al, 2018;Kaur et al, 2020), telecommunication (Ahmadi;Petrudi;Wang, 2017), the capability of modeling (Aburas et al, 2017), food (Ma et al, 2020;Tascioglu et al, 2020;Harini et al, 2018), military (Asghar et al, 2017;Saravanan;Thakkar, 2018) and so on.…”

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“…Bernasconi, Choirat, and Seri (2010) suggest that AHP is a proven approach for achieving subjective measurement alternatives. The AHP model has been used to examine a variety of global business studies (Blagojevic, Athanassiadis, Spinelli, Raitila, & Vos, 2020;Chen et al, 2014;Cricelli, Famulari, Greco, & Grimaldi, 2020;Enyinda & Mbah, 2017;Enyinda, Mbah, & Ogbuehi, 2010;Piprani, Jaafar, & Ali, 2020;Wind, 1981). In Section 3.2, we leveraged the AHP model to prioritize the conflict factors.…”

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