Özet:

Objective - Identification, classification and priority of risks within the supply chain risk management is an important issue for both supply chain and operating performance. From this point of view, the study aims to determine what the risks that the enterprises operating in the production sector may encounter in the supply chains and calculate the risk points consisting of the impact values that the risks will occur and the possibility of the risks will occur and prioritize the risks with a road map for the enterprises. Method - The sample of the research is made by 97 companies that continue their production activities within the Kocaeli borders in various sectors. Using the survey method, data were collected on the probability of risks that these may encounter in the supply chains and what their impact would be if they occur. SPSS and Amos programs have been used to calculate the validity and reliability of the measurement model. The risk and risk groups were then classified by calculating the probability, impact and importance points for each risk element. Results - According to the obtained data, the risks and risk groups that enterprises will encounter in the supply chain are subject to an assessment based on the probability, impact and importance points consisting of the divide of these two values. Requirement-based risk factors and environmental risk factors were the risk groups that divided the first two ranges. The risk to be taken from demand-based risk factors is ranked in the first five ranges for both probability and impact and importance. In terms of probability, unexpected/interim customers are in the first place for risk, risk and importance of production stops in terms of impact, and the risk of uncertainty in government regulations and laws are in the first place. Discussions - The grouping of supply chain risks by identification, then priority by importance points is important for supply chain managers and senior management to develop plans and management techniques by addressing priority risks. The studies are often focused on high probability and low impact values alone and do not take the opposite into consideration because there are not sufficient data. However, in terms of importance, both situations will have similar importance values. Therefore, instead of focusing on the mere probability or impact value, it would be more convenient for to develop management techniques using a set of predictive methods to calculate the probability and impact values and to prioritize the risks over the importance values. This study is believed to have contributed to the literature of supply chain management and risk management by identifying and grouping supply chain risks, making a ranking of probability, impact and importance points.

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