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Conference on Complex, Intelligent, and Software Intensive Systems

CISIS 2020: Complex, Intelligent and Software Intensive Systems pp 355–364Cite as

Production Scheduling in Industry 4.0

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1194))

Abstract

Manufacturing processes are dynamic and intensive. Efficient and effective production scheduling is a crucial step to guarantee the competitiveness of manufacturing companies. While production scheduling has been studied in the literature for many years, an advanced optimization strategy is still in the lack of adoption. In the fourth industrial revolution, a set of technologies brings the possibility to transform traditional scheduling approach to the smarter production scheduling system. Motivated to fill in the gap between literature study and practical usage, we introduce a new approach integrated into the operating system under Industry 4.0 context through a case study. Besides demonstrating the new scheduling centered workflow, we also discuss the correlation between saturation and scheduling performance in the aspect of completion time.

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Notes

  1. 1.

    https://katanamrp.com/manufacturing-scheduling-software.

  2. 2.

    https://www.aspentech.com/en/products/pages/aspen-plant-scheduler-family.

  3. 3.

    https://www.plex.com/products/manufacturing-operations-management-mom/advanced-planning-production-scheduling-software.html.

  4. 4.

    https://www.weforum.org/whitepapers/global-lighthouse-network-insights-from-the-forefront-of-the-fourth-industrial-revolution/.

  5. 5.

    https://mariadb.org/.

  6. 6.

    https://www.mongodb.com/.

  7. 7.

    https://www.euromap.org/en/euromap77.

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Acknowledgements

This research was partially supported by the Plastic and Rubber 4.0 (P&R4.0) Research Project, POR FESR 2014–2020 - Action I.1b.2.2, funded by Piedmont Region (Italy), Contract No. 319-31. The authors acknowledge all the project partners for their contribution.

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Authors and Affiliations

  1. LINKS Foundation, via Pier Carlo Boggio 61, 10138, Turin, Italy

    Yuanyuan Li, Klodiana Goga & Olivier Terzo

  2. Department of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy

    Roberto Tadei

Authors
  1. Yuanyuan Li
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  2. Klodiana Goga
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  3. Roberto Tadei
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  4. Olivier Terzo
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Corresponding author

Correspondence to Klodiana Goga .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Institute of Information Technology, Lodz University of Technology, Łódź, Poland

    Aneta Poniszewska-Maranda

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Li, Y., Goga, K., Tadei, R., Terzo, O. (2021). Production Scheduling in Industry 4.0. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2020. Advances in Intelligent Systems and Computing, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-50454-0_34

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