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Smart production systems: automating decision-making in manufacturing environment

Author

Listed:
  • Pooya Alavian
  • Yongsoon Eun
  • Semyon M. Meerkov
  • Liang Zhang

Abstract

Smart production systems (SPS) are manufacturing systems capable of autonomously diagnosing their health and autonomously designing continuous improvement projects, leading to the desired productivity improvement. The main component of SPS, developed in this paper, is the Programmable Manufacturing Advisor (PMA), which evaluates the system's health and calculates optimal steps for continuous improvement. The analytics of PMA are based on the theory of Production Systems Engineering (PSE); the numerics of PMA are based on PSE Toolbox, which implements the PSE methods. In this paper, the PMA-based SPS architecture with manager-in-the-loop is described, theoretical/analytical foundations of PMA are outlined, its software/hardware implementations are commented upon, and demonstrations of PMA-based SPS operation are provided using two production systems: automotive underbody assembly (large volume manufacturing) and hot-dip galvanisation plant (small manufacturing organisation).

Suggested Citation

  • Pooya Alavian & Yongsoon Eun & Semyon M. Meerkov & Liang Zhang, 2020. "Smart production systems: automating decision-making in manufacturing environment," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 828-845, February.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:3:p:828-845
    DOI: 10.1080/00207543.2019.1600765
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    Cited by:

    1. Filipos RUXHO & Christos Ap. LADIAS, 2022. "The Logistic Drivers As A Powerful Performance Indicator In The Development Of Regional Companies Of Kosovo," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 95-106, June.
    2. Delpla, Victor & Kenné, Jean-Pierre & Hof, Lucas A., 2023. "Integration of operational lockout/tagout in a joint production and maintenance policy of a smart production system," International Journal of Production Economics, Elsevier, vol. 263(C).

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