دانلود رایگان مقاله انگلیسی ارزیابی ریسک در زنجیره تامین خودرو - الزویر 2018

Abstract

One of the challenges that have gained industry's attention is assessing supply chain risks with increasing exposure to disruptions, it is vital for supply chains to manage risks proactively. Across industries, one-third of all supply chains fail to manage risk on a formal basis. The story is slightly worse for automotive companies, with 37 percent acknowledging no formal practices for monitoring risk. Automotive companies trail top supply chains in implementing risk management practices. Prediction of potential failure points and overall impact of these risks is challenging. In this research, we aim to assess the major risks that are encountered in supply chain of automobile industry. The purpose of this paper is to develop a holistic, systematic and quantitative risk assessment for measuring the overall risk behavior. We have used FAHP modeling and further analysis is carried out using Chang’s Extent Analysis Technique. A systematically developed design can be employed to capture the dynamic behavior of risks.

 Conclusion

Supply Chain Risk is the potential occurrence of an incident or failure to seize opportunities in Supply chain in which its outcomes result in a financial loss for the firm. We adopted FAHP decision making technique for risk assessment, for that first we identified four primary risk factors for our model and each of them had 3 sub criteria. A questionnaire was formulated using Google Forms and sent out to several automotive industries (Hero Motor Corp, Hyundai Motor, India, Tata Motors, Ford India, etc.) for responses. 46 responses were received and the reliability analysis was conducted using SPSS software for reliability analysis and the Cronbach’s alpha value was found to be 0.724, which was within acceptable limit. Based on these responses, pair-wise comparison matrices were constructed and their consistency ratios were evaluated. The CR value were within acceptable range i.e. less than or equal to 0.10. For data analysis Chang’s Extent Algorithm was employed. First the synthetic values were calculated, based on those degree of possibility was evaluated. Finally the priority weights were obtained for the primary criteria and all the sub-criteria. This completed our decision-making model for Supply Chain Risk Assessment.