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Evaluation of the mixed-model assembly line balancing problem with variable operation times and product mix

Author

Listed:
  • Daria Battini
  • Maurizio Faccio
  • Alessandro Persona
  • Fabio Sgarbossa

Abstract

In order to make production systems more versatile and flexible, there has been a transition in the last decades towards mixed-model assembly lines, where all the products are variations of the same base product and only differ in specific customisable attributes. A mixed-model environment presents balancing problems (Mixed-model Assembly Line Balancing Problem or MALBP) that can normally be solved by transforming the mixed-model system into a Single Assembly Line Balancing Problem (SALBP), and simplified by creating a 'virtual average model'. In this case, a general average model not dependent on the characteristics of the real system can represent a considerable restriction since the reality is characterised by high variability in the operation times and product mix between different product models. A comparative evaluation of eight different methodologies to reduce a MALBP into a SALBP is presented, using several randomly generated problems, to test operation time fluctuations and the product mix. Their evaluation is based on five different performance measures.

Suggested Citation

  • Daria Battini & Maurizio Faccio & Alessandro Persona & Fabio Sgarbossa, 2010. "Evaluation of the mixed-model assembly line balancing problem with variable operation times and product mix," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 6(2), pages 126-148.
    • Handle: RePEc:ids:ijsoma:v:6:y:2010:i:2:p:126-148
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    Cited by:

    1. Battaïa, Olga & Dolgui, Alexandre, 2013. "A taxonomy of line balancing problems and their solutionapproaches," International Journal of Production Economics, Elsevier, vol. 142(2), pages 259-277.

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