A data-driven approach for decision-Making support of factory simulation solutions

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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 languageEnglish
JournalProcedia CIRP
Volume93
Pages (from-to)971-976
ISSN2212-8271
DOIs
Publication statusPublished - 2020
Event53rd CIRP Conference on Manufacturing Systems 2020 - Chiacgo, United States
Duration: 1. Jul 20203. Jul 2020
Conference number: 53

Conference

Conference53rd CIRP Conference on Manufacturing Systems 2020
Number53
Country/TerritoryUnited States
CityChiacgo
Period01/07/202003/07/2020

Keywords

  • Data-driven approach
  • Decision-making
  • Factory simulation

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