• Smagina Anastasiya Yurievna Togliatti State University
  • Kargina Elena Viktorovna Togliatti State University
Keywords: cause of risk, risk event, risk management, lean production, risk exposure, probability of risk occurrence


The process of organizing risk management is difficult for any economic entity. The requirements of the ISO 9001:2015 international standards of the quality management system used in Russia, including for obtaining a certificate of conformity, determine the necessity for risk management and documentation of this process. These standards contain information about the necessity for the application of risk-based thinking; however, more detailed instructions on how to organize a risk management system are unavailable. The purpose of this study is to develop a risk management model by integrating the tools of the lean production methodology. Such integration is necessary to improve decision making by conducting a quantitative analysis at each stage of risk management. The integrated model allows an economic entity to manage risks more effectively not only in the framework of the concept of lean production. To identify potential risks, the authors used the Delphi method. After that, the authors proposed dividing potential risks into risk events and risk causes. Structural modeling is used to reflect the interrelations of risk events. An important aspect is that the risk causes are interconnected with each other and risk events; consequently, during the study, the authors suggested to establish the interdependence between risks. After that, the authors determined the weights of risk events and risk causes to calculate the adjusted risk values. As a result of the study, risks, which emerge when introducing the concept of lean production in an organization, are determined. As a rule, they are risks related to the lack of understanding of the tools of this concept both by top management and the employees. The authors developed an approach to potential risk assessment taking into account the adjustment of integrated potential risk for the weight of each risk type.

Author Biographies

Smagina Anastasiya Yurievna, Togliatti State University

PhD (Economics), assistant professor of the Department of Undergraduate Studies (Economic and Management Programs), Institute of Finance, Economics and Management

Kargina Elena Viktorovna, Togliatti State University

lecturer of the Department of Entrepreneurship, Institute of Finance, Economics and Management


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Economical Sciences