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A New Approach for Mixed-Model Assembly Line Sequencing

In: Operations Research Proceedings 2006

Author

Listed:
  • Masoud Rabbani

    (University of Tehran)

  • Alireza Rahimi-Vahed

    (University of Tehran)

  • Babak Javadi

    (University of Tehran)

  • Reza Tavakkoli-Moghaddam

    (University of Tehran)

Abstract

This paper presents a fuzzy goal programming approach for solving a multi-objective mixed- model assembly line sequencing problem in a just-in-time production system. A mixed-model assembly line is a type of production line that is capable of diversified small lot production and is able to respond promptly to sudden demand changes for a variety of models. Determining the sequence of introducing models to such an assembly line is of particular importance for the efficient implementation of just-in-time (JIT) systems. In this paper, we consider three objectives, simultaneously: minimizing total utility work, total production rate variation, and total setup cost. Because of existence conflicting objectives, we propose a fuzzy goal programming based approach to solve the model. This approach is constructed based on the desirability of decision maker (DM) and tolerances considered on goal values. To illustrate the behavior of the proposed model, some of instances are solved optimally and computational results reported.

Suggested Citation

  • Masoud Rabbani & Alireza Rahimi-Vahed & Babak Javadi & Reza Tavakkoli-Moghaddam, 2007. "A New Approach for Mixed-Model Assembly Line Sequencing," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 169-174, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-69995-8_28
    DOI: 10.1007/978-3-540-69995-8_28
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    Cited by:

    1. Ioanna Makarouni & John Psarras & Eleftherios Siskos, 2015. "Interactive bicriterion decision support for a large scale industrial scheduling system," Annals of Operations Research, Springer, vol. 227(1), pages 45-61, April.

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