Development of a methodology for selecting Technological equipment in organizational and technological support of production

The article discusses a methodology for selecting the optimal composition of technological equipment for production areas of machine-building enterprises. The methodology includes the development of an algorithm that takes into account technical and organizational aspects of production. Using the example of the “Fork” part, the article demonstrates the selection of milling equipment taking into account technological preparation, machine placement, and production organization. The methodology takes into account the flow of production, minimization of motions, efficient use of space, service support, and personnel qualifications. The algorithm provides a comprehensive assessment of production processes, including equipment utilization, economic indicators, and organizational requirements. The main focus is on optimizing capital investments while maximizing productivity. The application of this methodology allows you to improve technical and economic indicators, optimize processes, improve working conditions, reduce costs, and increase productivity.

1. Mazurin E. B., Savenko E. V. Mekhanizm vybora oborudovaniya dlya razlichnykh tipov proizvodstva [Mechanism of equipment selection for different types of production]. Omskiy nauchnyy vestnik. Omsk Scientific Bulletin. 2022. No. 1 (181). P. 19–24. DOI: 10.25206/1813-8225-2022-181-19-24. EDN: SFHKTL. (In Russ.).

2. Lazar V. V. Vozmozhnosti ispol’zovaniya integral’nogo pokazatelya kachestva pri vybore tekhnologicheskogo oborudovaniya po proizvodstvu gil’z tsilindrov [Possibilities of using an integral quality indicator when selecting technological equipment for the production of cylinder sleeves]. Chteniya akademika V. N. Boltinskogo: Sbornik statey seminara. Readings of Academician V. N. Boltinsky: Collection of Seminar Papers. Moscow, 2021. Vol. Part 2. P. 63–68. EDN: HMIICD. (In Russ.).

3. Rubayet Karim, Karmaker C. L. Machine Selection by AHP and TOPSIS Methods. American Journal of Industrial Engineering. 2016. Vol. 4, no. 1. P. 7–13. DOI: 10.12691/ajie-4-1-2.

4. Vakhitova R. I., Dumler E. B., Bulyukova F. Z., Zakharova E. F. Povyshenie effektivnosti mnogonomenklaturnogo proizvodstva na osnove modelirovaniya avtomatizirovannogo tekhnologicheskogo oborudovaniya [Improving the efficiency of multi-product production based on modeling automated technological equipment]. Almetyevsk, 2019. 92 p. ISBN 978-5-94454-039-3. EDN: CSRVTQ. (In Russ.).

5. Mazurin E. B., Savenko E. V. Metodika vybora oborudovaniya dlya predpriyatiy s edinichnym tipom proizvodstva [Methods of equipment selection for enterprises with a single type of production]. Innovatsii v menedzhmente. Innovations in Management. 2021. No. 4 (30). P. 24–29. EDN: NXSLAN. (In Russ.).

6. Lazarenko G. P. Vybor modeli metallorezhushchego stanka: formalizovannyy podkhod [Selection of a metal-cutting machine model: a formalized approach]. Nauka i obrazovaniye: nauchnoye izdaniye MGTU im. N. E. Baumana. Science and Education: A Scientific Periodical of the Bauman Moscow State Technical University. 2013. No. 12. P. 10–28. DOI: 10.7463/1213.0640867. EDN: QENFIS. (In Russ.).

7. Bazrov B. M. Modul’naya tekhnologiya v mashinostroyenii [Modular technology in mechanical engineering]. Moscow, 2001. ISBN 5-217-03061-5. EDN: WWFEPV. (In Russ.).

8. Vorontsov A. L., Albagachiev A. Yu., Sultan-Zade N. M. Teoreticheskie osnovy obrabotki metallov v mashinostroenii [Theoretical foundations of metal processing in mechanical engineering]. Stary Oskol, 2017. 556 p. ISBN 978-5-94178-384-7. EDN: JDOOZA. (In Russ.).

9. Starostin V. G., Lelyukhin V. E. Formalizatsiya proyektirovaniya protsessov obrabotki rezaniyem [Formalizing the design of cutting processes]. Moscow, 1986. 136 p. (In Russ.).

10. Lazarenko G. P. Sravnitel’nyy analiz metallorezhushchikh stankov pri tekhnologicheskom proyektirovanii [Comparative analysis of metal-cutting equipment under production engineering]. Mashinostroyeniye i komp’yuternyye tekhnologii. Science and Education: A Scientific Periodical of the Bauman Moscow State Technical University. 2013. No. 3. P. 1–16. DOI: 10.7463/0313.0541242. EDN: QABSXV (In Russ.).