Abstract
The article proposes a method for diagnosing the level of criticality of an undesirable deviation in the supply-production-marketing chain based on simulating the impact of a potential or actual incident that causes such a deviation on each link in the chain using a number of representative parameters (reliability of the supply chain, inventory management system, negative response from external marketing stakeholders, competitiveness of the marketing complex, quality of the production process, flexibility of the production process, level of planned processes violation). Given that in terms of their content the absolute majority of parameters for simulating the impact of a potential or actual incident that causes undesirable deviation for each link in the supply-production-marketing chain are fuzzy, it is feasible and necessary to use fuzzy set tools to solve the specified problem. Also, according to the results of the performed research, a set of heuristic rules for diagnosing incidents in the supply-production-marketing chain was proposed.
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Kuzmin, O., Honchar, M., Zhezhukha, V., Ovcharuk, V. (2019). Simulating and Reengineering Stress Management System—Analysis of Undesirable Deviations. In: Kryvinska, N., Greguš, M. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-94117-2_13
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