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A Model to Estimate Operators’ Performance in Accomplishing Assembly Tasks

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Industrial Engineering and Operations Management (IJCIEOM 2022)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 400))

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Abstract

In the fourth industrial revolution, the digital network is the basis of smart manufacturing systems. In work environments 4.0, the operators’ role is drastically changed. There is increasing utilisation of innovative devices, and new technologies have changed work activities into more cognitive than physical tasks. According to scientific studies in the new industrial era, the operators’ skill to process the information related to a single task plays a crucial role in improving the manufacturing systems’ effectiveness. The methods available in scientific literature to assess the operator’s performance are mainly focused on the cognitive and physical efforts required by the task. In other words, they depend on tasks complexity and neglect human behaviour over time and the workers’ abilities. Therefore, an evaluation including the skills and properness of a specific operator to perform an assigned task needs more investigation. Consistent with this research gap, the paper aims to develop an information-based theoretical model allowing to estimate an operator’s performance index to accomplish an assembly job by evaluating both the tasks’ complexity and the operator’s skill.

The model is applied to an automotive company to test and evaluate the potential applications of the methodology that go beyond the case study developed. The results proved the effectiveness of the model in estimating the operators’ performance, providing a job schedule based on task complexity and workers’ abilities.

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References

  1. Boenzi, F., Digiesi, S., Mossa, G., Mummolo, G., Romano, V.A.: Modelling workforce aging in job rotation problems. IFAC-PapersOnLine. 28(3), 604–609 (2015)

    Article  Google Scholar 

  2. Barreto, L., Amaral, A., Pereira, T.: Industry 4.0 implications in logistics: an overview. Proc. Manuf. 13, 1245 (2017)

    Google Scholar 

  3. Wichmann, R.L., Eisenbart, B., Gericke, K.: The direction of industry: a literature review on industry 4.0. In: Proceedings of the International Conference on Engineering Design, ICED, vol. 2019-Augus, pp. 2129–2138 (2019)

    Google Scholar 

  4. Gazzaneo, L., Padovano, A., Umbrello, S.: Designing smart operator 4.0 for human values: a value sensitive design approach. Proc. Manuf. 42, 219 (2020)

    Google Scholar 

  5. Zhu, X.: Modeling product variety induced manufacturing complexity for assembly system design, ProQuest Diss. Theses (2009)

    Google Scholar 

  6. Jovane, F., Koren, Y., Boër, C.R.: Present and future of flexible automation: towards new paradigms. CIRP Ann. - Manuf. Technol. 52(2), 543 (2003)

    Article  Google Scholar 

  7. Elmaraghy, W., Elmaraghy, H., Tomiyama, T., Monostori, L.: Complexity in engineering design and manufacturing. CIRP Ann. - Manuf. Technol. 61(2), 793 (2012)

    Article  Google Scholar 

  8. Urbanic, R.J., ElMaraghy, W.H.: Modeling of manufacturing process complexity. In: Advances in Design. Springer, London (2006)

    Google Scholar 

  9. ElMaraghy, W.H., Urbanic, R.J.: Assessment of manufacturing operational complexity. CIRP Ann. - Manuf. Technol. 53(1), 401 (2004)

    Article  Google Scholar 

  10. Mital, A., Desai, A., Subramanian, A., Mital, A.: Product Development: a Structured Approach to Consumer Product Development, Design, and Manufacture, 2nd edn. Elsevier, Amsterdam (2014)

    Google Scholar 

  11. Bi, S., Salvendy, G.: A proposed methodology for the prediction of mental workload, based on engineering system parameters. Work Stress. 8, 355 (1994)

    Article  Google Scholar 

  12. Stager, U., Amann, W., Maznevski, M.: Managing Complexity in Global Organizations. Wiley, Chichester (2012)

    Book  Google Scholar 

  13. Blecker, T., Abdelkafi, N.: Modularity and delayed product differentiation in assemble-to-order systems: analysis and extensions from a complexity perspective. In: International Series in Operations Research and Management Science, vol. 87, (2006)

    Google Scholar 

  14. March, J.G., Simon, H.A.: Organizations. 1958. NY Wiley, New York (1993)

    Google Scholar 

  15. Latham, G.P., Yukl, G.A.: A review of research on the application of goal setting in organizations. Acad. Manag. J. 18(4), 824 (1975)

    Article  Google Scholar 

  16. Weaver, W.: Science and complexity. Am. Sci. 36(4), 536 (1948)

    Google Scholar 

  17. Fast-Berglund, Å., Fässberg, T., Hellman, F., Davidsson, A., Stahre, J.: Relations between complexity, quality and cognitive automation in mixed-model assembly. J. Manuf. Syst. 32(3), 449 (2013)

    Article  Google Scholar 

  18. Samy, S.N., Elmaraghy, H.: A model for measuring products assembly complexity. Int. J. Comput. Integr. Manuf. 23(11), 1015 (2010)

    Article  Google Scholar 

  19. Boothroyd, G., Dewhurst, P., Knight, W.A.: Product design for manufacture and assembly. Comput. Aided Des. 26, 505 (2010)

    Article  Google Scholar 

  20. Morse, E.P.: On the complexity of mechanical assemblies. In: Proceedings of the ASME Design Engineering Technical Conference, vol. 3, (2003)

    Google Scholar 

  21. ElMaraghy, W.H., Urbanic, R.J.: Modelling of manufacturing systems complexity. CIRP Ann. - Manuf. Technol. 52(1), 363 (2003)

    Article  Google Scholar 

  22. Braha, D., Maimon, O.: The measurement of a design structural and functional complexity. IEEE Trans. Syst. Man, Cybern. Part A Syst. Humans. 28(4), 527 (1998)

    Article  MATH  Google Scholar 

  23. Zhu, X., Hu, S.J., Koren, Y., Marin, S.P.: Modeling of manufacturing complexity in mixed-model assembly lines. J. Manuf. Sci. Eng. Trans. ASME. 130(5), 051013 (2008)

    Article  Google Scholar 

  24. Busogi, M., Ransikarbum, K., Oh, Y.G., Kim, N.: Computational modelling of manufacturing choice complexity in a mixed-model assembly line. Int. J. Prod. Res. 55(20), 5976–5990 (2017)

    Article  Google Scholar 

  25. Chen, W.: Analysis of man-machine-environment system in industrial design and comprehensive evaluation of products man-machine relationship. IOP Conf. Ser. Mater. Sci. Eng. 746(1), 012039 (2020)

    Article  MathSciNet  Google Scholar 

  26. Fan, G., Li, A., Zhao, Y., Moroni, G., Xu, L.: Human factors’ complexity measurement of human-based station of assembly line. Hum. Factors Ergon. Manuf. 28(6), 342 (2018)

    Article  Google Scholar 

  27. Digiesi, S., Kock, A.A.A., Mummolo, G., Rooda, J.E.: The effect of dynamic worker behavior on flow line performance. Int. J. Prod. Econ. 120(2), 368 (2009)

    Article  Google Scholar 

  28. Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement, 1954. J. Exp. Psychol. 121, 262 (1992)

    Article  Google Scholar 

  29. Coburn, D.: Job alienation and well-being. In: Health and Work Under Capitalism: an International Perspective (2019)

    Google Scholar 

  30. Ward, K.: Human and alienating work: what sex worker advocates can teach Catholic social thought. J. Soc. Christ. Ethics. 41(2), 261 (2021)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Polytechnic University of Bari, Bari, Italy

    Francesco Facchini & Daniela Cavallo

  2. University of Bari, Bari, Italy

    Giovanni Mummolo

Authors
  1. Francesco Facchini
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  2. Daniela Cavallo
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  3. Giovanni Mummolo
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Corresponding author

Correspondence to Francesco Facchini .

Editor information

Editors and Affiliations

  1. Engineering, Universidad Anáhuac, Anáhuac Huixquilucan, Mexico

    Victor Manuel López Sánchez

  2. Mechanical Engineering, Federal University of Bahia, Salvador, Bahia, Brazil

    Francisco Gaudêncio Mendonça Freires

  3. Industrial Engineering and Management, Universidade Lusófona, Lisbon, Portugal

    João Carlos Gonçalves dos Reis

  4. DEGEIT, University of Aveiro, Aveiro, Portugal

    Joana Maria Costa Martins das Dores

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Facchini, F., Cavallo, D., Mummolo, G. (2022). A Model to Estimate Operators’ Performance in Accomplishing Assembly Tasks. In: López Sánchez, V.M., Mendonça Freires, F.G., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2022. Springer Proceedings in Mathematics & Statistics, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-031-14763-0_16

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