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Human-Machine Cooperation in Self-organized Production Systems: A Point of View

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Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 803))

Abstract

In the context of Industry 4.0, numerous technologies are developed as well as new paradigms, causing a rupture with historical production control models. This highlights the needs for new approaches aiming to deploy efficiently these new technologies and paradigms within future industrial systems. On the other hand, human-machine system approaches encourage the cooperation between humans and complex artificial systems to react to unexpected events and to ensure an efficient supervision of these artificial systems. The paper focuses on the design of self-organized production systems cooperating with the humans. A literature review is provided based on two views dealing with such a design: a technical and a human-machine system one. Limits and advantages of both views are presented. A merged view, based on the use of the cognitive work analysis (CWA) approach, is then proposed to ensure an efficient cooperation between the human and a self-organized production system. The proposals will be applied to different systems, namely a cobot, a swarm of autonomous AGV and a set of intelligent products.

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References

  1. Bainbridge, L.: Ironies of automation. Anal. Des. Eval. Man-Mach. Syst. 1982, 129–135 (1983)

    Article  Google Scholar 

  2. Barbosa, J., Leitão, P., Adam, E., Trentesaux, D.: Dynamic self-organization in holonic multi-agent manufacturing systems: the adacor evolution. Comput. Ind. 66, 99–111 (2015)

    Article  Google Scholar 

  3. Endsley, M.R.: A taxonomy of situation awareness errors. Hum. Factors Aviat. Oper. 3(2), 287–292 (1995)

    Google Scholar 

  4. Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Fact. 37(1), 32–64 (1995)

    Article  Google Scholar 

  5. Endsley, M.R., et al.: The role of situation awareness in naturalistic decision making. Nat. Decis. Mak. 269, 284 (1997)

    Google Scholar 

  6. Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Transdisciplinary Perspectives on Complex Systems, pp. 85–113. Springer, Cham (2017)

    Google Scholar 

  7. Herterich, M.M., Uebernickel, F., Brenner, W.: The impact of cyber-physical systems on industrial services in manufacturing. Procedia CIRP 30, 323–328 (2015)

    Article  Google Scholar 

  8. Hoc, J.M.: Towards a cognitive approach to human-machine cooperation in dynamic situations. Int. J. Hum.-Comput. Stud. 54(4), 509–540 (2001)

    Article  Google Scholar 

  9. Jazdi, N.: Cyber physical systems in the context of industry 4.0. In: IEEE International Conference on Automation, Quality and Testing, Robotics, pp. 1–4. IEEE (2014)

    Google Scholar 

  10. Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16, 3–8 (2014)

    Article  Google Scholar 

  11. Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 46(1), 50–80 (2004)

    Article  Google Scholar 

  12. Leitão, P., Restivo, F.: Adacor: a holonic architecture for agile and adaptive manufacturing control. Comput. Ind. 57(2), 121–130 (2006)

    Article  Google Scholar 

  13. Maturana, F.P., Norrie, D.H.: Distributed decision-making using the contract net within a mediator architecture. Decis. Support Syst. 20(1), 53–64 (1997)

    Article  Google Scholar 

  14. Mbuli, J., Trentesaux, D., Dailly, T.: Specifying a condition-based maintenance decision support system of a fleet of cyber-physical systems. In: Service Orientation in Holonic and Multi-Agent Manufacturing. Springer series in computational intelligence, vol. 803 (2018)

    Google Scholar 

  15. Moray, N.: Identifying mental models of complex human-machine systems. Int. J. Ind. Ergon. 22(4–5), 293–297 (1998)

    Article  Google Scholar 

  16. Neerincx, M.A.: Modelling cognitive and affective load for the design of human-machine collaboration. In: Harris, D. (ed.) Engineering Psychology and Cognitive Ergonomics, pp. 568–574. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  17. Paas, F.G., Van Merriënboer, J.J.: Instructional control of cognitive load in the training of complex cognitive tasks. Educ. Psychol. Rev. 6(4), 351–371 (1994)

    Article  Google Scholar 

  18. Pacaux-Lemoine, M.P., Trentesaux, D., Rey, G.Z., Millot, P.: Designing intelligent manufacturing systems through human-machine cooperation principles: a human-centered approach. Comput. Ind. Eng. 111, 581–595 (2017). https://doi.org/10.1016/j.cie.2017.05.014

    Article  Google Scholar 

  19. Parasuraman, R., Sheridan, T.B., Wickens, C.D.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 30(3), 286–297 (2000)

    Article  Google Scholar 

  20. Parunak, H.V.D.: Applications of distributed artificial intelligence in industry. Found. Distrib. Artif. Intell. 2 (1996)

    Google Scholar 

  21. Pruett, J.M., Vasudev, V.K.: Moses: manufacturing organization simulation and evaluation system. Simulation 54(1), 37–45 (1990)

    Article  Google Scholar 

  22. Rey, G.Z., Carvalho, M., Trentesaux, D.: Cooperation models between humans and artificial self-organizing systems: Motivations, issues and perspectives. In: 6th International Symposium on Resilient Control Systems (ISRCS), pp. 156–161. IEEE (2013)

    Google Scholar 

  23. Rodgers, M.D., Mogford, R.H., Strauch, B.: Post hoc assessment of situation awareness in air traffic control incidents and major aircraft accidents. Situat. Awar. Anal. Meas. 73–112 (2000)

    Google Scholar 

  24. Sanchez, A.: Supervisory control theory. Form. Specif. Synth. Proced. Control. Process Syst, 71–83 (1996)

    Google Scholar 

  25. Trentesaux, D.: Distributed control of production systems. Eng. Appl. Artif. Intell. 22(7), 971–978 (2009)

    Article  Google Scholar 

  26. Trentesaux, D., Millot, P.: A human-centred design to break the myth of the magic human in intelligent manufacturing systems. In: Service Orientation in Holonic and Multi-agent Manufacturing. Springer series in computational intelligence, vol. 640, pp. 103–113. Springer, Cham (2016)

    Google Scholar 

  27. Weyer, S., Schmitt, M., Ohmer, M., Gorecky, D.: Towards industry 4.0-standardization as the crucial challenge for highly modular, multi-vendor production systems. Ifac-Papersonline 48(3), 579–584 (2015)

    Article  Google Scholar 

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Acknowledgement

This paper was carried out in the context of the HUMANISM ANR-17-CE10-0009 research program, funded by the ANR “Agence Nationale de la Recherche”, and by the SUCRÉ project. The work presented in this paper is also partly funded by the Regional Council of the French Region “Hauts-de-France” and supported by the GRAISYHM program. The authors gratefully acknowledge these institutions.

Author information

Authors and Affiliations

  1. LAMIH - CNRS UMR 8201, University of Valenciennes, Valenciennes, France

    Quentin Berdal, Marie-Pierre Pacaux-Lemoine & Damien Trentesaux

  2. Lab-STICC - CNRS UMR 6285, University of South Brittany, Lorient, France

    Christine Chauvin

Authors
  1. Quentin Berdal
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  2. Marie-Pierre Pacaux-Lemoine
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  3. Damien Trentesaux
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  4. Christine Chauvin
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Corresponding author

Correspondence to Quentin Berdal .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes, Valenciennes Cedex 9, France

    Damien Trentesaux

  3. École Nationale Supérieure des Tech., University of Lorraine, Epinal Cedex 9, France

    André Thomas

  4. Department of Management, Information and Production Engineering, Università degli Studi di Bergamo, Dalmine (BG), Italy

    Sergio Cavalieri

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Berdal, Q., Pacaux-Lemoine, MP., Trentesaux, D., Chauvin, C. (2019). Human-Machine Cooperation in Self-organized Production Systems: A Point of View. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_9

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