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Production Systems Performance Optimization through Human/Machine Collaboration

In: Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era

Author

Listed:
  • Paul-Eric Dossou
  • Valentin Verdier
  • Alan Ogor

Abstract

The growth of enterprises is a constant source of research and development of new technologies. Indeed, to stand out from the competition and optimize their production, companies are moving toward the centralization of information and the implementation of machines. This dynamic requires a significant investment in terms of organization and research. Industry 4.0 is therefore at the heart of this reflection, as shown in the literature. It brings together many technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data. This chapter focuses on company performance optimization through a sustainable Industry 4.0 framework involving methodologies such as lean manufacturing and DMAIC, new technologies as robotics, in addition to social, societal, and environmental transformations. This chapter will present robotic displacement solutions adapted to the industrial environment for improving production systems performance. Solutions for human-machine interaction problems such as human-machine interface or flexibility 4.0 will be shown.

Suggested Citation

  • Paul-Eric Dossou & Valentin Verdier & Alan Ogor, 2022. "Production Systems Performance Optimization through Human/Machine Collaboration," Chapters, in: Tamas Banyai & Agota Banyai & Ireneusz Kaczmar (ed.), Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era, IntechOpen.
    • Handle: RePEc:ito:pchaps:254376
    DOI: 10.5772/intechopen.102036
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    More about this item

    Keywords

    Industry 4.0; performance optimization; robotics; artificial intelligence; big data; human-machine collaboration; internet of things (IoTs);
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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