Abstract
The paper proposes an approach to the analysis of production technology based on the proximity of the obtained accuracy to the desired parameters. Such an assessment of technology in terms of quality will allow for a reasonable choice of the best technology and assign technological parameters which can be applied in the conditions of Industry 4.0. The approach builds on the control system proposed earlier by the authors based on the use of the desirability function and the postulation that there is the best parameter from a constructive point of view, at which the best quality is achieved. The projection of the dimension distribution density function onto the desirability function gives the desired function called the dimension desirability distribution density function. Analytical equations for constructing this function have been obtained both for the general case and for the cases of linear and parabolic desirability functions. In the work, the dimension desirability distribution density function has been illustrated with a specific example for different values of the shape index of the desirability function and different technological processes from the point of view of quality. It has been shown that, although the desirability function can be constructed for any shape parameters, the shape factor for the dimension desirability distribution density function equal to 1 is the best, and outside the range 0.3–1.2, the desirability distribution density function does not allow analyzing the production technology in terms of suitability.
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Kupriyanov, O., Trishch, R., Dichev, D., Kupriianova, K. (2023). A General Approach for Tolerance Control in Quality Assessment for Technology Quality Analysis. In: Tonkonogyi, V., Ivanov, V., Trojanowska, J., Oborskyi, G., Pavlenko, I. (eds) Advanced Manufacturing Processes IV. InterPartner 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-16651-8_31
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