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Novel strategies for global manufacturing systems interoperability

Author

Listed:
  • Ricardo Jardim-Goncalves

    (UNINOVA)

  • Antonio Grilo

    (UNIDEMI)

  • Keith Popplewell

    (Coventry University)

Abstract

This paper reviews some of the most recently reported research into novel strategies for global manufacturing systems interoperability. Such research can be categorised as addressing four broad topic areas: the sensing manufacturing enterprise; semantics and knowledge management in manufacturing; service orientation and the need for negotiation; and business interoperability. Thus we identify a spectrum of research from the management of hardware and virtual sensing devices, through the semantic interpretation of the data and information generated by these, and its utilisation to support the collaborative manufacturing network lifecycle through service oriented software, and ultimately the provision of effective business interoperability. This study includes conceptual, theoretical, empirical and technological contributions, illustrated by real examples and demonstrating the novelty in comparison with previously reported results. The paper concludes elaborating final considerations on novel strategies for global manufacturing systems interoperability.

Suggested Citation

  • Ricardo Jardim-Goncalves & Antonio Grilo & Keith Popplewell, 2016. "Novel strategies for global manufacturing systems interoperability," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 1-9, February.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:1:d:10.1007_s10845-014-0948-x
    DOI: 10.1007/s10845-014-0948-x
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    Citations

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    Cited by:

    1. Peter Chhim & Ratna Babu Chinnam & Noureddin Sadawi, 2019. "Product design and manufacturing process based ontology for manufacturing knowledge reuse," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 905-916, February.
    2. Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen, 2021. "Skill transfer support model based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1129-1146, April.
    3. D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
    4. Luna Leoni & Sara Poggesi, 2017. "The relationship between servitization and product-service system: insights from the literature," ESPERIENZE D'IMPRESA, FrancoAngeli Editore, vol. 2017(1), pages 29-51.
    5. Tangbin Xia & Lifeng Xi, 2019. "Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1659-1672, April.
    6. Yuval Cohen & Gonen Singer, 2021. "A smart process controller framework for Industry 4.0 settings," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1975-1995, October.
    7. Ourania Markaki & Dimitris Askounis, 2021. "Assessing the operational and economic efficiency benefits of dynamic manufacturing networks through fuzzy cognitive maps: a case study," Operational Research, Springer, vol. 21(2), pages 925-950, June.
    8. Federica Costa & Alberto Portioli-Staudacher, 2021. "Labor flexibility integration in workload control in Industry 4.0 era," Operations Management Research, Springer, vol. 14(3), pages 420-433, December.

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