Volume 1, Issue 4 (3-2017)                   2017, 1(4): 95-125 | Back to browse issues page

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ramazani Y, Esmailian G. A Model of Supply Chain Agility for Auto Part Manufacturer Companies by Using Interpretive – Structural Modeling Approach. Journal title 2017; 1 (4) :95-125
URL: http://jde.khu.ac.ir/article-1-56-en.html
Abstract:   (3728 Views)

Todays, organizations are faced with very high competition and uncertain environment and also intensify with innovations in technology and the changing needs of customers. Although the importance and urgency of supply chain agility, according to needs of acting quickly, respond to customers, increasing market changes and consumer needs and ... in many industries, both in scientific and empirical perspective, is clear, but automotive parts manufacturer companies paid little attention to these issues and agility in their supply chain. Clearly, being agile supply chain, flexible and responsive in automotive parts manufacturer companies, would be solved an important part of the problems that threats companies. The main issue of this study is that, how automotive parts manufacturer companies can agility in their supply chain. The main objective of this study is to provide a model for agile supply chain in auto part manufacturer companies.

Methodology: This study is descriptive-analytic and can be identified as developmental –functional on considering its aims. After surveying previous research literature and using experts’ opinions, we investigated final agile criteria and indicators of supply chain and then we used interpretive- structural modeling approach to determine the relation among criteria and indicators providing a model of supply chain agility in auto part manufacturer companies.

Findings: By reviewing the literature and using Delphi Technique, we identified 6 criteria (Competency, Celerity, Flexibility, Accountability, Market and Information Technology) and also Twenty two sub criteria for supply chain’s agility in auto part companies. Then the results were analyzed through interpretive-structural approach and relation of criteria and sub criteria and their results were achieved. These relations showed that Competency and Information Technology in criteria and Trust in Relationship and Quality in indicators are the basis of agility to achieve market in criteria and Customer Satisfaction in cub criteria. This research helps supply chain managers to have strategic planning to enhance agility in supply chain and find effective sub criteria and criteria to invest on.

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Type of Study: Research | Subject: Special
Received: 2016/11/7 | Accepted: 2017/01/22 | Published: 2017/03/7

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