Development of Workshop Management System for Assembly Production Process

Zeng, Pengfei; Hao, Yong Ping; Wu, Changwu; Shi, Chunjing; Hao, Yongping

doi:10.1007/978-3-030-27529-7_37

Cited by 1 publication

(1 citation statement)

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“…The industry is experiencing global change with the emerging Industry 4.0. This new key concept is fundamentally changing the shape of not only business processes but also the entire company [27][28][29].…”

Section: Big Datamentioning

confidence: 99%

A System for Supporting the Selection of Progressive Methods and Technologies with the Aim of Improving the Management of Production Processes

Bubenik¹,

Kolesnyk²,

Rakyta³

et al. 2022

Preprint

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Managers are often faced with the task of improving the management of the production 17process in order to maintain the sustainability of production efficiency in a highly competitive en-18vironment. The submitted contribution deals with the design of a system that will support them in 19the selection of progressive methods and technologies in order to improve the management of pro-20duction processes. Managers often follow new trends in this issue, but it is not easy to work on the 21knowledge that proven progressive technologies can bring them higher efficiency. The presented system is based on the use of knowledge of existing solutions of manufacturers of automotive components, where companies solve similar problems in production management. The mix of methods and technologies used in the management of production processes brings companies different results in the achieved efficiency. The proposed system for supporting the selection of the production management method and technology is designed from blocks of data collection, benchmarking of the performance of production processes of industrial enterprises, and further from data mining technology to obtain knowledge about the effect on efficiency from already implemented technologies. The last blocks help to examine the differences in the implementation of the same methods and technologies and allow to present the obtained results to the manager in the form of recommendations for choosing a suitable progressive method and technology.

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Section: Big Datamentioning

confidence: 99%