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

作者：Mahdavi Iraj^*; Javadi Babak; Sahebjamnia Navid; Mahdavi Amiri Nezam

来源：International Journal of Advanced Manufacturing Technology, 2009, 44(9-10): 1010-1023.

DOI：10.1007/s00170-008-1914-6

• Mixed-model assembly line
• Fuzzy multi-objective linear programming
• Fuzzy goal programming
• Weighted additive method

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.

• 出版日期2009-10