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Exploring the application of machine learning to the assembly line feeding problem

Author

Listed:
  • Emilio Moretti

    (Politecnico Di Milano)

  • Elena Tappia

    (Politecnico Di Milano)

  • Veronique Limère

    (Ghent University
    Flanders Make)

  • Marco Melacini

    (Politecnico Di Milano)

Abstract

As a large number of companies are resorting to increased product variety and customization, a growing attention is being put on the design and management of part feeding systems. Recent works have proved the effectiveness of hybrid feeding policies, which consist in using multiple feeding policies in the same assembly system. In this context, the assembly line feeding problem (ALFP) refers to the selection of a suitable feeding policy for each part. In literature, the ALFP is addressed either by developing optimization models or by categorizing the parts and assigning these categories to policies based on some characteristics of both the parts and the assembly system. This paper presents a new approach for selecting a suitable feeding policy for each part, based on supervised machine learning. The developed approach is applied to an industrial case and its performance is compared with the one resulting from an optimization approach. The application to the industrial case allows deepening the existing trade-off between efficiency (i.e., amount of data to be collected and dedicated resources) and quality of the ALFP solution (i.e., closeness to the optimal solution), discussing the managerial implications of different ALFP solution approaches and showing the potential value stemming from machine learning application.

Suggested Citation

  • Emilio Moretti & Elena Tappia & Veronique Limère & Marco Melacini, 2021. "Exploring the application of machine learning to the assembly line feeding problem," Operations Management Research, Springer, vol. 14(3), pages 403-419, December.
  • Handle: RePEc:spr:opmare:v:14:y:2021:i:3:d:10.1007_s12063-021-00201-3
    DOI: 10.1007/s12063-021-00201-3
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    References listed on IDEAS

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    1. Antonio Casimiro Caputo & Pacifico Marcello Pelagagge & Paolo Salini, 2018. "Selection of assembly lines feeding policies based on parts features and scenario conditions," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1208-1232, February.
    2. Robin Hanson & Lars Medbo, 2019. "Man-hour efficiency of manual kit preparation in the materials supply to mass-customised assembly," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3735-3747, June.
    3. Schmid, Nico André & Limère, Veronique & Raa, Birger, 2021. "Mixed model assembly line feeding with discrete location assignments and variable station space," Omega, Elsevier, vol. 102(C).
    4. Sali, Mustapha & Sahin, Evren, 2016. "Line feeding optimization for Just in Time assembly lines: An application to the automotive industry," International Journal of Production Economics, Elsevier, vol. 174(C), pages 54-67.
    5. Emde, Simon & Schneider, Michael, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 96055, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Sternatz, Johannes, 2015. "The joint line balancing and material supply problem," International Journal of Production Economics, Elsevier, vol. 159(C), pages 304-318.
    7. Baller, Reinhard & Hage, Steffen & Fontaine, Pirmin & Spinler, Stefan, 2020. "The assembly line feeding problem: An extended formulation with multiple line feeding policies and a case study," International Journal of Production Economics, Elsevier, vol. 222(C).
    8. Kate A. Smith, 1999. "Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 15-34, February.
    9. Bozer, Yavuz A. & McGinnis, Leon F., 1992. "Kitting versus line stocking: A conceptual framework and a descriptive model," International Journal of Production Economics, Elsevier, vol. 28(1), pages 1-19, November.
    10. Mustapha Sali & Evren Sahin, 2016. "Line feeding optimization for Just in Time assembly lines: an application to the automotive industry," Post-Print hal-01265041, HAL.
    11. Nico André Schmid & Veronique Limère, 2019. "A classification of tactical assembly line feeding problems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(24), pages 7586-7609, December.
    12. Frank Wiengarten & Prakash J. Singh & Brian Fynes & Ali Nazarpour, 2017. "Impact of mass customization on cost and flexiblity performances: the role of social capital," Operations Management Research, Springer, vol. 10(3), pages 137-147, December.
    13. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    14. Maurizio Faccio & Mauro Gamberi & Marco Bortolini & Francesco Pilati, 2018. "Macro and micro-logistic aspects in defining the parts-feeding policy in mixed-model assembly systems," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 31(4), pages 433-462.
    15. Battini, Daria & Faccio, Maurizio & Persona, Alessandro & Sgarbossa, Fabio, 2009. "Design of the optimal feeding policy in an assembly system," International Journal of Production Economics, Elsevier, vol. 121(1), pages 233-254, September.
    16. Simon Emde & Michael Schneider, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Transportation Science, INFORMS, vol. 52(3), pages 657-672, June.
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