Operative Production Controlling as Entrance into Controlling 4.0

článek v časopise - ostatní, Jost

angličtina

Purpose of the article: The paper focuses on the potentials and benefits which controlling provides to companies in the transition period towards Industry 4.0. Operative production controlling provides data that will be used in the future to apply the concept of smart factories. This article proposes a controlling architecture based on computer-aided standardization. Methodology/methods: The paper develops an architecture on operational production controlling based on an international literature review. The literature on Controlling 4.0 is found mostly in publications in the German language. While this literature has its focus on controlling as a whole or on strategic controlling, the paper has a look on operational controlling and its further usage and development towards smart factories. Scientific aim: The aim of this article is to develop a model of an operational production controlling architecture that is able to suit the requirements of smart factories by using computer-aided standardization. Findings: Research is working on concepts for Industry 4.0 and its way towards real implementation. Competitive advantage in Industry 4.0 is created through digitisation and robotisation. An architecture that fully complies with Industry 4.0 is expected to be developed in real companies due to technical limitation in data storing, retrieval and processing, as well as storage capacities. Conclusions: The paper discussed the development of a controlling architecture suitable for Industry 4.0. Already today controlling is making use of data. Smart factories will need to make use of production data. Together with the CAS, which is able to provide standardized data on all manufacturing, maintenance, and auxiliary processes, production controlling systems are able to make a step forward towards smart factories. The concept of production controlling combined with the strengths of the CAS may be seen as the basis from which to target smart factories and Industry 4.0. This research contributes to developing a data-driven framework for future research in the field of smart factories and the transition towards Industry 4.0.

production controlling; computer-aided standardisation; case; Industry 4.0; smart factories; machine-learning

PFEIFER, M.R.

3. 7. 2021

Brno University of Technology, Faculty of Business and Management

Brno, Czech Republic

1802-8527

TRENDY EKONOMIKY A MANAGEMENTU

15

37

Česká republika

73

84

12

https://trends.fbm.vutbr.cz/index.php/trends/article/view/563/195195271