Uncertainty Assessment in Automotive Supply Chains
Published: 2014
Author(s) Name: Parveen Farooquie, Arif Suhail, Nishat Faisal |
Author(s) Affiliation: Aligarh Muslim University (AMU), Aligarh, Uttar Pradesh, India
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Abstract
Supply chains in automobile industry are highly vulnerable and suffer huge losses due to uncertainty and risk. Literature suggests that losses can be reduced if these uncertainties are managed properly. Researchers have evolved a four-step process of risk management. Assessment of risk in terms of its probability of occurrence and impact on supply chains is one of the four steps. The present work is an attempt to empirically estimate the probability of different uncertainties to occur and also to determine their impact on supply chains. The study involves tier 1 and tier 2 level companies which manufacturer and supply auto components to various supply chains. The results are expected to help the industry prepare itself to reduce the impact of such uncertainties and improve the performance.
Keywords: Automotive Supply Chains, Assessment of Uncertainty, Probability-Impact Analysis
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