Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting-edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.

In the era of Industry 4.0, the automation of processes in the life cycle of a product seems

to be a necessity. Although programming CNC machines with CAM systems make it possible,

it is necessary to effectively acquire knowledge about the programming process and

technological requirements for effective automation. The paper presents a method for decomposition

of knowledge about the CNC machine programming process based on acquiring

knowledge from various sources, both from technologists as well as on the basis of analysis

of archival CNC control programs. To decompose the programming process, it is proposed

to apply the knowledge model described by various attributes. Verification of the method

is shown in the process of knowledge decomposition for manufacturing special production

tooling.