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The future of manufacturing systems engineering

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  • Stanley B. Gershwin

Abstract

Manufacturing systems engineering will be greatly affected by advances in technology, including cheaper, ubiquitous sensors, increasing computational speeds, the ability to hold more data and move it faster, and artificial intelligence. This paper discusses the importance of human involvement in the field, especially the role of intuition. The issues examined are the purposes of manufacturing systems engineering; the importance of intuition, and more generally, the role that humans play in the design and operations of manufacturing systems; the effects of new systems-related technologies; how analytical models help the development of intuition; how the use of generic software without intuition can lead to trouble; how intuition is needed to determined what data, and how much of it, is needed for a given purpose. It also describes some successful applications of manufacturing systems research and proposes an organisational structure for manufacturing systems groups.

Suggested Citation

  • Stanley B. Gershwin, 2018. "The future of manufacturing systems engineering," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 224-237, January.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:1-2:p:224-237
    DOI: 10.1080/00207543.2017.1395491
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    Cited by:

    1. Li, Yao & He, Yihai & Ai, Jun & Wang, Chengcheng & Han, Xiao & Liao, Ruoyu & Yang, Xiuzhen, 2022. "Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Muhammad Khan & Gohar Saleem Parvaiz & Abbas Ali & Majid Jehangir & Noor Hassan & Junghan Bae, 2022. "A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    3. Paolo Gaiardelli & Giuditta Pezzotta & Alice Rondini & David Romero & Farnaz Jarrahi & Marco Bertoni & Stefan Wiesner & Thorsten Wuest & Tobias Larsson & Mohamed Zaki & Philipp Jussen & Xavier Boucher, 2021. "Product-service systems evolution in the era of Industry 4.0," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 177-207, March.
    4. de Souza, Michele & Pereira, Giancarlo Medeiros & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose & Trento, Luiz Reni & Borchardt, Miriam & Zvirtes, Leandro, 2021. "A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Müller, David & Müller, Marcus G. & Kress, Dominik & Pesch, Erwin, 2022. "An algorithm selection approach for the flexible job shop scheduling problem: Choosing constraint programming solvers through machine learning," European Journal of Operational Research, Elsevier, vol. 302(3), pages 874-891.
    6. Muhammad Khan & Amal Nasser Alshahrani & Julija Jacquemod, 2023. "Digital Platforms and Supply Chain Traceability for Robust Information and Effective Inventory Management: The Mediating Role of Transparency," Logistics, MDPI, vol. 7(2), pages 1-20, April.

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