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Design of a cyber-physical production system for semiconductor manufacturing

In: Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 23

Author

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  • Keil, Sophia

Abstract

Due to the highly dynamic markets, an increasing complexity, and individualization of products, efficient and robust logistical processes are difficult to achieve through the use of central planning and control approaches. The aim of the contribution is the design of a decentralized, autonomous control system for high tech production systems. An interdisciplinary perspective was adopted as methods of artificial intelligence and mechanical as well as electrical engineering were used. The results are a hardware concept for an intelligent, cyber-physical production lot and a software concept based on a hierarchical multi-agent architecture. The basic idea of autonomy and self-control is not new. It can be traced back, for example, to the ideas of 'Evolutionary Management', or cybernetics. However, for the first time this contribution shows a practical application for a complex semiconductor manufacturing system. Until now, the hard and software concepts have been implemented prototypically. A long-term integration into the existing IT landscape of a semiconductor factory is planned. A well established and functioning centralized system should be supplemented by the new decentralized system, especially in areas in which there is not yet such a high level of automated processes, e. g. in wafer test facilities.

Suggested Citation

  • Keil, Sophia, 2017. "Design of a cyber-physical production system for semiconductor manufacturing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 319-340, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  • Handle: RePEc:zbw:hiclch:209315
    DOI: 10.15480/882.1458
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    Cited by:

    1. Maroua Nouiri & Damien Trentesaux & Abdelghani Bekrar, 2019. "Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems," Energies, MDPI, vol. 12(23), pages 1-30, November.

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