A Novel Hybrid Fuzzy Multi-objective Linear Programming Method of Aggregate Production Planning

被引：3

作者：

Fiasche, Maurizio ^{[1
]}

Ripamonti, Gaia ^{[1
]}

Sisca, Francesco G. ^{[1
]}

Taisch, Marco ^{[1
]}

Tavola, Giacomo ^{[1
]}

机构：

[1] Politecn Milan, Dept Management Econ & Ind Engn, Milan, Italy

来源：

ADVANCES IN NEURAL NETWORKS: COMPUTATIONAL INTELLIGENCE FOR ICT | 2016年 / 54卷

关键词：

Aggregate production planning; Hybrid fuzzy system; APP; Fuzzy Multi-objective programming; NORMAL CONSTRAINT METHOD; OPTIMIZATION PROBLEMS; PARETO FRONTIER;

D O I：

10.1007/978-3-319-33747-0_49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work a novel fuzzy multi-objective linear programming (FMOLP) method based on hybrid fuzzy inference systems is proposed for solving the general framework of integration of self-contained assembly unit in a fuzzy environment where the product price, unit cost of not utilization of resources, work force level, production capacity and market demands are fuzzy in nature. The proposed model attempts to minimize total production costs, maximizing the shop floor resources utilization and the profits, considering inventory level, and capacity. Pareto solutions optimization is computed with different techniques and results are presented and discussed with interesting practical implications.

引用

页码：489 / 501

页数：13

共 21 条

[11] Mahoney R., 1997, High-Mix Low-Volume Manufacturing
[12] Normal constraint method with guarantee of even representation of complete Pareto frontier
Messac, A
Mattson, CA
[J]. AIAA JOURNAL, 2004, 42 (10) : 2101 - 2111
[13] The normalized normal constraint method for generating the Pareto frontier
Messac, A
Ismail-Yahaya, A
Mattson, CA
[J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2003, 25 (02) : 86 - 98
[14] A modified NBI and NC method for the solution of N-multiobjective optimization problems
Motta, Renato de S.
Afonso, Silvana M. B.
Lyra, Paulo R. M.
[J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2012, 46 (02) : 239 - 259
[15] A SUCCESSIVE APPROACH TO COMPUTE THE BOUNDED PARETO FRONT OF PRACTICAL MULTIOBJECTIVE OPTIMIZATION PROBLEMS
Mueller-Gritschneder, Daniel
Graeb, Helmut
Schlichtmann, Ulf
[J]. SIAM JOURNAL ON OPTIMIZATION, 2009, 20 (02) : 915 - 934
[16] AN INTERACTIVE FUZZY SATISFICING METHOD FOR MULTIOBJECTIVE LINEAR FRACTIONAL-PROGRAMMING PROBLEMS
SAKAWA, M
YANO, H
[J]. FUZZY SETS AND SYSTEMS, 1988, 28 (02) : 129 - 144
[17] Sindhya K, 2008, LECT NOTES COMPUT SC, V5199, P815, DOI 10.1007/978-3-540-87700-4_81
[18] Application of fuzzy multi-objective linear programming to aggregate production planning
Wang, RC
Liang, TF
[J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2004, 46 (01) : 17 - 41
[19] Zimmerman H.-J., 1978, FUZZY SETS SYST, V2, P209
[20] Zimmermann H.-J., 2011, Fuzzy set theory-and its applications

← 1 2 3 →