Determination of Resilience Strategies and Resilience number in Iran Khodro supply chain

Subject Areas : Strategic Management Researches

kazem ravansetan ¹ (دانشجوی دکتری مدیریت (تولید و عملیات)، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران)
hasanali aghajani ² (دانشیار مدیریت صنعتی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران)
abdolhamid safaei ³ (دانشیار مدیریت صنعتی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران)
mahmoud yahyazadeh far ⁴ (استاد مدیریت بازرگانی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران)

Received: 2017-01-16 Accepted : 2017-06-18 Published : 2017-11-22

Keywords: Supply Chain, strategy, Disruption, resilience, Iran khodro,

Abstract :

This research deals with resilience of supply chain according to Iran Khodro Company. The aim of this study is determining strategies going to be able to prevent occurrence of stops in production line of Iran Khodro, or in case of stop, how production lines are restored in the minimum time to the state of pre-disruption or the most favorable condition. This study intends to determine resilience strategies in the Iran Khodro supply chain and also show resiliency in the Iran Khodro supply chain as a quantity number. In this study all failure modes have been identified through the research literature and expert's opinions. The population of this research includes managers and experts of logistics and planning departments of Sapco Company. In this research failure modes and effects analysis (FMEA) technique has been used to determine resilience strategies in supply chain before occurrence of failures and also a new technique which named failure analysis after occurrence (FAAO) is used to determine resilience strategies in supply chain after occurrence of failure. Finally, the amount of resilience of Iran Khodro supply chain is calculated. Fifteen strategies have been determined by experts using above techniques in order to make resilient supply chain in Iran Khodro toward failures. The amount of resilience of supply chain allocating to Iran Khodro is calculated 0.14 before occurrence of failure and is calculated 0.27 after failure occurrence.

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