Multi-agent Manufacturing Execution System (MES): Concept, architecture & ML algorithm for a smart factory case

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Abstract

Smart factory of the future is expected to support interoperability on the shop floor, where information systems are pivotal in enabling interconnectivity between its physical assets. In this era of digital transformation, manufacturing execution system (MES) is emerging as a critical software tool to support production planning and control while accessing the shop floor data. However, application of MES as an enterprise information system still lacks the decision support capabilities on the shop floor. As an attempt to design intelligent MES, this paper demonstrates one of the artificial intelligence (AI) applications in the manufacturing domain by presenting a decision support mechanism for MES aimed at production coordination. Machine learning (ML) was used to develop an anomaly detection algorithm for multi-agent based MES to facilitate autonomous production execution and process optimization (in this paper switching the machine off after anomaly detection on the production line). Thus, MES executes the ‘turning off’ of the machine without human intervention. The contribution of the paper includes a concept of next-generation MES that has embedded AI, i.e., a MES system architecture combined with machine learning (ML) technique for multi-agent MES. Future research directions are also put forward in this position paper.
Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Enterprise Information Systems
EditorsAlexander Brodsky, Slimane Hammoudi, Michal Smialek, Joaquim Filipe
Number of pages6
Volume2
PublisherSCITEPRESS Digital Library
Publication date2019
Pages477-482
ISBN (Electronic)978-989-758-372-8
DOIs
Publication statusPublished - 2019
Event21st International Conference on Enterprise Information Systems, ICEIS 2019 - Heraklion, Crete, Greece
Duration: 3 May 20195 May 2019

Conference

Conference21st International Conference on Enterprise Information Systems, ICEIS 2019
CountryGreece
CityHeraklion, Crete
Period03/05/201905/05/2019
SponsorInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)

Keywords

  • AI applications
  • Architectural solution
  • Automated reasoning
  • Enterprise information systems
  • Industry 4.0
  • Intelligent manufacturing
  • Manufacturing Operations Management (MOM)
  • Multi-agent systems
  • Uncertainty
  • Work-in-progress (WIP)

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  • Cite this

    Mantravadi, S., LI, C., & Møller, C. (2019). Multi-agent Manufacturing Execution System (MES): Concept, architecture & ML algorithm for a smart factory case. In A. Brodsky, S. Hammoudi, M. Smialek, & J. Filipe (Eds.), Proceedings of the 21st International Conference on Enterprise Information Systems (Vol. 2, pp. 477-482). SCITEPRESS Digital Library. https://doi.org/10.5220/0007768904770482