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A two-phase linear programming methodology for fuzzy multi-objective mixed-model assembly line problem

Mahdavi, I ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1007/s00170-008-1914-6
  3. Publisher: 2009
  4. Abstract:
  5. We develop a fuzzy multi-objective linear programming (FMOLP) model for solving multi-objective mixed-model assembly line problem. In practice, vagueness and imprecision of the goals in this problem make the fuzzy decision-making complicated. The proposed model considers minimizing total utility work, total production rate variation, and total setup cost, using a two-phase linear programming approach. In the first phase, the problem is solved using a max-min approach. The max-min solution not being efficient, in general, we propose a new model in the second phase to maximize a composite satisfaction degree at least as good as the degrees obtained by phase one. To show the effectiveness of the proposed approach, a numerical example is solved and the results are compared with the ones obtained by the fuzzy mixed integer goal programming and weighted additive methods. The computational results show that the proposed FMOLP model achieves lower objective functions as well as higher satisfaction degrees. © 2009 Springer-Verlag London Limited
  6. Keywords:
  7. Additive methods ; Computational results ; Fuzzy decision-making ; Fuzzy goal programming ; Fuzzy multi-objective linear programming ; Goal programming ; Max-min ; Mixed integer ; Mixed-model assembly line ; Mixed-Model Assembly Lines ; Multi objective ; New model ; Numerical example ; Objective functions ; Production rates ; Satisfaction degrees ; Second phase ; Setup costs ; Two-phase linear programming ; Weighted additive method ; Assembly ; Assembly machines ; Biped locomotion ; Dynamic programming ; Electric load management ; Linear programming ; Linearization ; Multiobjective optimization ; Numerical methods ; Integer programming
  8. Source: International Journal of Advanced Manufacturing Technology ; Volume 44, Issue 9-10 , 2009 , Pages 1010-1023 ; 02683768 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s00170-008-1914-6