Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A System of Selecting Progressive Methods and Technologies to Improve the Management of Production Processes

Version 1 : Received: 28 June 2022 / Approved: 29 June 2022 / Online: 29 June 2022 (10:16:24 CEST)

How to cite: Bubenik, P.; Kolesnyk, O.; Rakyta, M.; Binasova, V.; Capek, J. A System of Selecting Progressive Methods and Technologies to Improve the Management of Production Processes. Preprints 2022, 2022060405. https://doi.org/10.20944/preprints202206.0405.v1 Bubenik, P.; Kolesnyk, O.; Rakyta, M.; Binasova, V.; Capek, J. A System of Selecting Progressive Methods and Technologies to Improve the Management of Production Processes. Preprints 2022, 2022060405. https://doi.org/10.20944/preprints202206.0405.v1

Abstract

The contribution deals with the selection of progressive methods and technologies to improve the management of production processes in the industrial area. The first chapter of the contribution summarises the theoretical starting points for the management of production processes and their progressive concepts. Chapter 2 deals with the analysis of the current state of play in the use of methods and technologies in production management and summarise its problem areas. Chapter 3 presents the design of a system for selecting the appropriate method and technology to improve the management of the production process. The system presented is designed from data collection blocks, a benchmark for the performance of industrial enterprises' production processes, and data mining to gain knowledge of the impact of the methods and technologies used on the performance of production processes. The last block of the system allows the presentation of the obtained results, which sets out the recommendation for the choice of progressive method and technology. The system is partially verified in the last chapter of the contribution.

Keywords

management methods; management; system; technologies; production process; process improvement

Subject

Engineering, Industrial and Manufacturing Engineering

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