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Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach

  • Gabriel H. A. MedeirosEmail author
  • Qiushi Cao
  • Cecilia Zanni-Merk
  • Ahmed Samet
Conference paper
  • 39 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 193)

Abstract

The unexpected failure of machines or tools has a direct impact on production availability. This gives rise to risks in terms of product quality, profitability, and competitiveness. In order to improve the availability of the companies’ own production facilities without having to rely on cost-intensive reserve machines or other means of minimizing downtime, it is also necessary, beyond planning the production smartly, to be able to outsource the production if required (for example, when a stoppage is inevitable). For this purpose, an intelligent machine broker needs to be implemented, which will coordinate the needs of a network of companies working together and the available machinery at a given time. This paper proposes to use a multi-objective optimization approach to manufacturing as a service, to be able to propose the group of the most convenient available machines in the network to the user companies that are confronted to unforeseen stoppages in their production, allowing them, therefore, to outsource that part of the production to other company in the same network.

Keywords

Manufacturing as a service Multi-objective optimization algorithms Predictive maintenance Industry 4.0 

Notes

Acknowledgements

This work has received funding from INTERREG Upper Rhine (European Regional Development Fund) and the Ministries for Research of Baden-Wurttemberg, Rheinland-Pfalz (Germany) and from the Grand Est French Region in the framework of the Science Offensive Upper Rhine HALFBACK project.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Gabriel H. A. Medeiros
    • 1
    • 2
    Email author
  • Qiushi Cao
    • 2
  • Cecilia Zanni-Merk
    • 2
  • Ahmed Samet
    • 3
  1. 1.Universidade Federal do CearáFortalezaBrazil
  2. 2.Normandie Université, INSA Rouen, LITISRouenFrance
  3. 3.ICUBE/SDC Team (UMR CNRS 7357)-Pole API BP 10413IllkirchFrance

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