Digitalization of important processes related to parts machining and product manufacturing requires searching for new approaches and techniques for technological process planning during product manufacturing. Product life cycle is prioritized in scientific research in manufacturing engineering, and materials sciences. Object-oriented and functionally-oriented technologies are used for technological process planning at product manufacturing for current manufacturing engineering. Object-oriented technologies characterized by step-by-step execution of interrelated activities based on the prototyping sequence are used in conventional automated systems of design and technological preparation of manufacturing products. A characteristic feature of smart manufacturing, as the highest level of functionally-oriented technologies, is the technological assurance of reliability metrics, operational characteristics, and sustainable development goals at product manufacture by the main requirements of Industry 4.0/5.0. Nowadays, the prediction of products' behaviour during their life cycles is an important task of current manufacturing engineering. Reliability engineering, as a combination of physics, statistics, and engineering, allows for analysing the product behaviour for different production processes in different operational conditions. A technique for analysing the influence of technological system elements for parts machining by cutting on technological assurance of the product quality using Markov chains is developed. The influence of a metal-cutting machine, a metal-cutting tool, and a fixture (clamping device) providing the regulated product quality of the machined product is calculated. Further research in this direction should be carried out according to a comprehensive analysis of different machining methods and a wider range of components, because it is necessary to study the change in reliability parameters with different operating times of the technological system elements.
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