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

被引：2
|
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.
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页码：489 / 501
页数：13
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