Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry

In the business world today, intense competition among the firms forces them to operate under conditions of uncertainty which, in turn, gives rise to numerous risks that can negatively impact the supply chain and lower profitability and competitive advantage. Expansion and density of communication n...

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Main Authors: Alireza Arab, Iman Ghasemian Sahebi, iman ghasemian sahebi
Format: Article
Language:fas
Published: Islamic Azad University, Tabriz Branch 2018-11-01
Series:مدیریت بهره وری
Subjects:
Online Access:http://jpm.iaut.ac.ir/article_543655_4d091ba1af1a57ac2e1c5d6605517c96.pdf
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author Alireza Arab
Iman Ghasemian Sahebi
iman ghasemian sahebi
author_facet Alireza Arab
Iman Ghasemian Sahebi
iman ghasemian sahebi
author_sort Alireza Arab
collection DOAJ
description In the business world today, intense competition among the firms forces them to operate under conditions of uncertainty which, in turn, gives rise to numerous risks that can negatively impact the supply chain and lower profitability and competitive advantage. Expansion and density of communication network in the supply chain, on the one hand, and inevitability of some disorders, on the other, underscore the importance of measuring and evaluating suppliers. Supplier resilience defined as less influenceability from and the capacity to quell disorders, hence, requires more rigorous scrutiny. The aim of the current research was thus to identify and level suppliers’ resilience criteria at Avrand's Industrial Group supply chain using a combination of Fuzzy Delphi (FDELPHI) and Interpretative Structural Modeling techniques. The results of the FDELPHI method showed that 16 of the 27 criteria extracted from the literature review were verified by the team of 10 experts. Further, the Interpretive Structural Modeling was employed to offer a hierarchical model of the verified criteria. The results revealed a five-level hierarchy of resilience criteria with the delay time criterion at the highest level and the most influenceable factor and financial strength criterion as the most influential factor placed at the lowest level.
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spelling doaj.art-1a1430c086074f289df3011efd6daf432022-12-21T18:13:39ZfasIslamic Azad University, Tabriz Branchمدیریت بهره وری2716-99792476-72982018-11-01123(46) پاییز737543655Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing IndustryAlireza Arab0Iman Ghasemian Sahebi1iman ghasemian sahebi2PhD student in Operations Research, Faculty of Management, University of Tehran,IranProfessor of Industrial Management, Faculty of Management, University of Tehran,IranPh.D. student of Production Management and Operations Management, Faculty of Management, University of Tehran,IranIn the business world today, intense competition among the firms forces them to operate under conditions of uncertainty which, in turn, gives rise to numerous risks that can negatively impact the supply chain and lower profitability and competitive advantage. Expansion and density of communication network in the supply chain, on the one hand, and inevitability of some disorders, on the other, underscore the importance of measuring and evaluating suppliers. Supplier resilience defined as less influenceability from and the capacity to quell disorders, hence, requires more rigorous scrutiny. The aim of the current research was thus to identify and level suppliers’ resilience criteria at Avrand's Industrial Group supply chain using a combination of Fuzzy Delphi (FDELPHI) and Interpretative Structural Modeling techniques. The results of the FDELPHI method showed that 16 of the 27 criteria extracted from the literature review were verified by the team of 10 experts. Further, the Interpretive Structural Modeling was employed to offer a hierarchical model of the verified criteria. The results revealed a five-level hierarchy of resilience criteria with the delay time criterion at the highest level and the most influenceable factor and financial strength criterion as the most influential factor placed at the lowest level.http://jpm.iaut.ac.ir/article_543655_4d091ba1af1a57ac2e1c5d6605517c96.pdfbesunise countinuityinterpretivefuzzy delphisupplier resiliencestructural modelling
spellingShingle Alireza Arab
Iman Ghasemian Sahebi
iman ghasemian sahebi
Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
مدیریت بهره وری
besunise countinuityinterpretive
fuzzy delphi
supplier resilience
structural modelling
title Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
title_full Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
title_fullStr Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
title_full_unstemmed Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
title_short Modeling the Measurement of Supplier Resilience Criteria via an Interpretive Expert-Driven Approach: A Step towards Promoting the Productivity of AutomotiveParts Manufacturing Industry
title_sort modeling the measurement of supplier resilience criteria via an interpretive expert driven approach a step towards promoting the productivity of automotiveparts manufacturing industry
topic besunise countinuityinterpretive
fuzzy delphi
supplier resilience
structural modelling
url http://jpm.iaut.ac.ir/article_543655_4d091ba1af1a57ac2e1c5d6605517c96.pdf
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AT imanghasemiansahebi modelingthemeasurementofsupplierresiliencecriteriaviaaninterpretiveexpertdrivenapproachasteptowardspromotingtheproductivityofautomotivepartsmanufacturingindustry
AT imanghasemiansahebi modelingthemeasurementofsupplierresiliencecriteriaviaaninterpretiveexpertdrivenapproachasteptowardspromotingtheproductivityofautomotivepartsmanufacturingindustry