EVALUATION OF ENGINEERING SOLUTIONS IN THE DEVELOPMENT OF THE PROCUREMENT SECTION FOR THE METAL CONSTRUCTION WORKSHOP
Bogdan Palchevskyi
Lutsk National Technical University (Ukraine)
https://orcid.org/0000-0002-4000-4992
Lubov Krestyanpol
krist_88@i.uaLesya Ukrainka Volyn National University (Ukraine)
https://orcid.org/0000-0003-3617-7900
Abstract
Modern complex production requires approaches to improving production systems that create a comprehensive understanding of process-equipment-product interactions along the technological process chain, rather than focusing solely on individual processes. Any production system consists of separate but interconnected elements arranged in a certain sequence: reserve, workstation, operation workstation, working process. This document proposes an approach to support and improve the production system using these elements and establishing connections between them and their parameters. This allows process models of various complexities to be constructed, laying the groundwork for improving the production system. The article discusses the process of building a simulation model of a production system – a machining department for manufacturing semi-finished products from metal rods. In the model, each element of the production system is graphically represented, allowing the use of a flowchart for simulation modeling. The purpose of developing the simulation model is to optimize the operation of the machining department by identifying those workstations in the technological process where the longest idle time is observed during operations and optimizing the structure of the department. Additionally, this approach has been tested and implemented based on the scenario of using the simulation model in mechanical engineering production.
Keywords:
simulation modeling, production process, machine-building enterprises, downtimeReferences
Bratushka S. M.: Simulation modeling as a tool for research of complex economic systems. Bulletin of the Ukrainian Academy of Banking 2(27), 2009, 113–118.
Google Scholar
Kong F. S. et al.: Simulation Modeling of Production System Considering Human Behavior. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020, 123–127.
Google Scholar
Nesterenko A. O., Visloukh S. P.: Optimization of instrument-making production processes by imitation modeling. Proceedings of the VII International scientific-practical conference, 2017, 143–158.
Google Scholar
Palchevskyi B., Krestyanpol L.: Application of Predictive Maintenance in the Packaging Production. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska – IAPGOS 12(3), 2022 27–33.
Google Scholar
Palchevskyi B., Krestyanpol L.: The Use of the “DigitalTwin” Concept for Proactive Diagnosis of Technological Packaging Systems. Babichev S., Peleshko D., Vynokurova O. (eds.): Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science 1158, 423–444, Springer 2020.
Google Scholar
Palchevskyi B., Krestyanpol L.: Strategy of Construction of Intellectual Production Systems. IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020, 362–365 [https://doi.org/10.1109/DSMP47368.2020.9204190].
Google Scholar
Pawlewski P.: Using PFEP For Simulation Modeling of Production Systems. Procedia Manufacturing 17, 2018, 811–818 [https://doi.org/10.1016/j.promfg.2018.10.132].
Google Scholar
Stobrawa S. et al.: Design of Simulation Models. Stjepandic J., Sommer M., Denkena B. (eds.): DigiTwin: An Approach for Production Process Optimization in a Built Environment. Springer Series in Advanced Manufacturing. Springer, Cham. [https://doi.org/10.1007/978-3-030-77539-1_9].
Google Scholar
Sujova E. et al.: Simulation Models of Production Plants as a Tool for Implementation of the Digital Twin Concept into Production. Manufacturing Technology 20(4), 2020, 527–533 [https://doi.org/10.21062/mft.2020.064].
Google Scholar
Wache H., Dinter B.: The Digital Twin - Birth of an Integrated System in the Digital Age. Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020, 5452–5460 [https://doi.org/10.24251/HICSS.2020.671].
Google Scholar
Wenzel S. et al.: Trends in Automatic Composition of Structures for Simulation Models in Production and Logistics. Winter Simulation Conference (WSC), 2019, 2190–2200 [https://doi.org/10.1109/WSC40007.2019.9004959].
Google Scholar
Authors
Bogdan PalchevskyiLutsk National Technical University Ukraine
https://orcid.org/0000-0002-4000-4992
Authors
Lubov Krestyanpolkrist_88@i.ua
Lesya Ukrainka Volyn National University Ukraine
https://orcid.org/0000-0003-3617-7900
Statistics
Abstract views: 15PDF downloads: 8
Most read articles by the same author(s)
- Bogdan Palchevskyi, Lyubov Krestyanpol, APPLICATION OF PREDICTIVE MAINTENANCE IN THE PACKAGING PRODUCTION , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 3 (2022)
