Enabling Industry 4.0 impact assessment with manufacturing system simulation: an OEE based methodology

Luisa M. Tumbajoy*, Mariela Muñoz-Añasco, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

5 Citations (Scopus)
70 Downloads (Pure)

Abstract

Increasing digitalization in manufacturing, often associated with terms like Industry 4.0 (I4.0) or Smart Manufacturing, is a topic of crucial concern for manufacturing companies. Different digital technologies (DTs) can be integrated into manufacturing processes and systems aiming at increasing flexibility, product quality or productivity. The type and scope of potential DTs must be carefully selected when planning and improving a manufacturing system. The definition and configuration could be supported by simulation techniques that assess the DTs' impact on the manufacturing system and its final performance. However, parametrizing the DTs into a simulation tool is not straightforward since appropriate models might be challenging to obtain and actual impacts of DTs are uncertain. Against this background, the paper presents methods to enable a simulation-based assessment while considering the impact of not just individual but also a combination of DTs. The paper introduces a framework to define the base characteristics of selected DTs within a manufacturing system and their parameterization into a commercial simulation tool. Furthermore, the usability and expectable results are demonstrated in a case study.

Original languageEnglish
Pages (from-to)681-686
Number of pages6
JournalProcedia CIRP
Volume107
Early online date26 May 2022
DOIs
Publication statusPublished - 2022
Event55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Canton of Ticino, Lugano, Switzerland
Duration: 29 Jun 20221 Jul 2022
Conference number: 55

Keywords

  • Industry 4.0
  • Key Performance Indicator
  • Simulation
  • Smart Manufacturing

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