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Abstract
Factory simulation, one of the Industry 4.0 technologies, has increased in popularity. However, there is a limited number of strategies on how to implement this technology. This paper describes a data-driven approach that supports the Decision-Making process of factory simulation solutions. A performed literature review focused on manufacturing simulation frameworks, criteria for simulation solution selection, software evaluation methodologies, and simulation solutions, creates the foundation for the key contribution. An industrial case is used to test the initial findings. In addition, to suggest solutions as the output, the approach triggers the process of learning and thinking, which shows more value to practitioners.
Original language | English |
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Journal | Procedia CIRP |
Volume | 93 |
Pages (from-to) | 971-976 |
ISSN | 2212-8271 |
DOIs | |
Publication status | Published - 2020 |
Event | 53rd CIRP Conference on Manufacturing Systems 2020 - Chiacgo, United States Duration: 1. Jul 2020 → 3. Jul 2020 Conference number: 53 |
Conference
Conference | 53rd CIRP Conference on Manufacturing Systems 2020 |
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Number | 53 |
Country/Territory | United States |
City | Chiacgo |
Period | 01/07/2020 → 03/07/2020 |
Keywords
- Data-driven approach
- Decision-making
- Factory simulation
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- 1 Finished
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Innovative Production Region
Yu, F. (Head coordinator), Schweisfurth, T. (CoI), Nielsen, C. P. (CoI) & Bilberg, A. (CoI)
01/01/2017 → 30/06/2020
Project: Research