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Information Journal Paper

Title

Identification and ranking of Engineering-To-Order supply chain risks by using Jackknife resampling method and interval analysis

Author(s)

 EDALAT SARVESTANI MOHAMMAD REZA | SHAHRAKI MOHAMMAD REZA | Issue Writer Certificate 

Pages

  69-82

Abstract

 Due to the rapid and extensive changes in the supply chain, organizations need to identify and evaluate the risk accurately in order to survive in the competitive cycle and to implement effective supply chain management. The supply chain consists of a diverse structure, and while today the variety of products to meet the needs of customers has become vast, custom manufacturing capabilities, which are in fact the same engineering structure as the order (ETO), are a competitive advantage. A preliminary study of the research shows that few studies have been carried out on the identification and ranking of Engineering-To-Order Supply chain risks. There are few information in the absence of experts or time constraints; some existing models do not provide accurate ranking of Engineeringto-order supply chain risks. In order to solve this problem, in this paper, Jackknife resampling method is used. In addition, it is difficult to determine the exact amount of risk in reality. For this purpose, the Interval analysis method for estimating the risks in terms of the interval has been used according to the concept of the confidence interval and the opinions of the experts. Therefore, in this paper, using Jackknife resampling method with Interval analysis, the evaluation and ranking of the factors affecting the management of Engineering-To-Order Supply chain risks has been done. Calculation results of Jackknife resampling method and Interval analysis shows that the categories of risks which is Dependent to order risks, Environmental’ s risks and Operational risks have the most priority among engineer-to-order supply chain risks.

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