A data driven approach for Decision-Making support of factory simulation

Research output: Contribution to journalJournal articleResearchpeer-review

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
ISSN2212-8271
Publication statusAccepted/In press - 2020

Keywords

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

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