Abstract
In the current conditions of production activities, more enterprises are working on the development and implementation of process-oriented management systems that correspond with international standards for management systems. The main purpose of the implementation of such systems is the satisfaction of the requirements of various stakeholders, and the index of their satisfaction becomes the criterion of perfection of the enterprise. Therefore, the task of its quantitative assessment is topical. In the paper for the determination of generalized satisfaction index of stakeholders, on the basis of fuzzy sets theory a scale of values of the linguistic variable “Satisfaction” was developed. This approach allows to assess the compliance degree of stakeholders’ requirements and to present it as a linguistic value for further determination of the directions of improving the quality of the enterprise processes. On the basis of the principles of creating an information system for an engineering enterprise, the paper proposes the information support for the process of quality management system assessment, the main task of which is to create conditions that ensure rational processing and timely provision of necessary information on the functioning assessment results of the system that are under consideration. In the development of information support, the paper takes into account the possibility of using it as one of the blocks of a single information system of the enterprise, which makes it possible to create an information databank, as well as carry out a comparative analysis of the indexes under consideration for any period of time.
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References
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Dynnyk, O., Denysenko, Y., Zaloga, V., Ivchenko, O., Yashyna, T. (2020). Information Support for the Quality Management System Assessment of Engineering Enterprises. In: Ivanov, V., et al. Advances in Design, Simulation and Manufacturing II. DSMIE 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-22365-6_7
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DOI: https://doi.org/10.1007/978-3-030-22365-6_7
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