Original scientific paper

https://doi.org/10.31803/tg-20230416204744

Design for Six Sigma Digital Model for Manufacturing Process Design

Elvis Krulčić orcid.org/0000-0002-1584-1860 ; University of Rijeka, Faculty of Engineering Vukovarska 58, 51000 Rijeka, Croatia
Sandro Doboviček orcid.org/0000-0001-8483-6187 ; University of Rijeka, Faculty of Engineering Vukovarska 58, 51000 Rijeka, Croatia
Dario Matika ; Mechanical Engineering, Zagreb University of Applied Sciences Vrbik 8 10000 Zagreb, Croatia
Duško Pavletić orcid.org/0000-0002-5940-0012 ; University of Rijeka, Faculty of Engineering Vukovarska 58, 51000 Rijeka, Croatia

Abstract

The transition to digital manufacturing has become more important as the quantity and quality of the use of computer systems in manufacturing companies has increased. It has become necessary to model, simulate and analyse all machines, tools, and raw materials to optimise the manufacturing process. It is even better to determine the best possible solution at the stage of defining the manufacturing process by using technologies that analyse data from simulations to calculate an optimal design before it is even built. In this paper, Design for Six Sigma (DFSS) principles are applied to analyse different scenarios using digital twin models for simulation to determine the best configuration for the manufacturing system. The simulation results were combined with multi-criteria decision-making (MCDM) methods to define a model with the best possible overall equipment effectiveness (OEE). The OEE parameter reliability was identified as the most influential factor in the final determination of the most effective and economical manufacturing process configuration.

Keywords

digital twin model; DFSS; multi-criteria decision-making methods (MCDM); overall equipment effectiveness (OEE); reliability

Hrčak ID:

301542

URI

https://hrcak.srce.hr/301542

Publication date:

15.6.2023.

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