SOLVING THE MULTI-OBJECTIVE MIXED MODEL ASSEMBLY LINE PROBLEM USING A FUZZY MULTI-OBJECTIVE LINEAR PROGRAM

Iraj Mahdavi, Babak Javadi, S. S. Sabet

2007

Abstract

This paper develops a fuzzy multi-objective linear program (FMOLP) model for solving the multi-objective mixed model assembly line problem. In practice, vagueness and imprecision of the goals, constraints and parameters in this problem make the decision-making complicated. The proposed model attempts to simultaneously minimize total utility work cost, total production rate variation cost, and total setup cost. In this paper, an asymmetric fuzzy-decision making technique is applied to enable the decision-maker to assign different weights to various criteria in a real industrial environment. The model is explained by an illustrative example.

References

  1. Bard, J.F., Shtub, A., Joshi, S.B., 1994. Sequencing mixed-model assembly lines to level parts usage and minimize the length. International Journal of Production Research 32, 2431-2454.
  2. Bellman, R.G., Zadeh, L.A., 1970. Decision making a fuzzy environment. Management Sciences 17, B141- B164.
  3. Chen, S.H., 1985. Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets and Systems 17, 113-129.
  4. Chul J. H., Yeongho K., Yeo, K. K., 1998. A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines. Computers & Operations Research 25(7-8), 675-690.
  5. Ding, F.Y., Zhu, J., Sun, H., 2006. Comparing two weighted approaches for sequencing mixed-model assembly lines with multiple objectives. International Journal of Production Economics 102(1), 108-131.
  6. Korkmazel, T., Meral, S., 2001. Bi-criteria sequencing methods for the mixed model assembly line in just-intime production systems. European Journal of Operational Research 131(1), 188-207.
  7. Mansouri, S. A., 2005. A Multi-Objective Genetic Algorithm for mixed-model sequencing on JIT assembly lines. European Journal of Operational Research 167(3), 696-716.
  8. Miltenberg, J., 1989. Level schedules for mixed-model assembly lines in just-in-time production systems. Management Science 35, 192-207.
  9. Ponnambalam, S. G., Aravindanb, P., Subba Raoc M., 2003. Genetic algorithms for sequencing problems in mixed model assembly lines. Computers & Industrial Engineering 45(4),669-690.
  10. Sakawa, M., 1993. Fuzzy sets and Interactive Multiobjective Optimization. Plenum Press, New York.
  11. Zimmermann, H.J., 1978. Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems 1, 45-55.
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Paper Citation


in Harvard Style

Mahdavi I., Javadi B. and S. Sabet S. (2007). SOLVING THE MULTI-OBJECTIVE MIXED MODEL ASSEMBLY LINE PROBLEM USING A FUZZY MULTI-OBJECTIVE LINEAR PROGRAM . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 370-373. DOI: 10.5220/0002353003700373


in Bibtex Style

@conference{iceis07,
author={Iraj Mahdavi and Babak Javadi and S. S. Sabet},
title={SOLVING THE MULTI-OBJECTIVE MIXED MODEL ASSEMBLY LINE PROBLEM USING A FUZZY MULTI-OBJECTIVE LINEAR PROGRAM},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={370-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002353003700373},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - SOLVING THE MULTI-OBJECTIVE MIXED MODEL ASSEMBLY LINE PROBLEM USING A FUZZY MULTI-OBJECTIVE LINEAR PROGRAM
SN - 978-972-8865-89-4
AU - Mahdavi I.
AU - Javadi B.
AU - S. Sabet S.
PY - 2007
SP - 370
EP - 373
DO - 10.5220/0002353003700373