Projekter pr. år
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.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Procedia CIRP |
Vol/bind | 93 |
Sider (fra-til) | 971-976 |
ISSN | 2212-8271 |
DOI | |
Status | Udgivet - 2020 |
Begivenhed | 53rd CIRP Conference on Manufacturing Systems 2020 - Chiacgo, USA Varighed: 1. jul. 2020 → 3. jul. 2020 Konferencens nummer: 53 |
Konference
Konference | 53rd CIRP Conference on Manufacturing Systems 2020 |
---|---|
Nummer | 53 |
Land/Område | USA |
By | Chiacgo |
Periode | 01/07/2020 → 03/07/2020 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'A data-driven approach for decision-Making support of factory simulation solutions'. Sammen danner de et unikt fingeraftryk.Relaterede projekter
- 1 Afsluttet
-
Innovative Production Region
Yu, F. (Overordnet koordinator), Schweisfurth, T. (CoI), Nielsen, C. P. (CoI) & Bilberg, A. (CoI)
01/01/2017 → 30/06/2020
Projekter: Projekt › Forskning