Fuzzy programming and profit and cost allocation for a production and transportation problem

被引:102
作者
Sakawa, M
Nishizaki, I
Uemura, Y
机构
[1] Hiroshima Univ, Fac Engn, Dept Ind & Syst Engn, Higashihiroshima 7398527, Japan
[2] Juken Sangyou Co Ltd, Prod Projects Dev Dept, Hiroshima 7388502, Japan
关键词
optimization; production and transportation problem; fuzzy programming; profit and cost allocation;
D O I
10.1016/S0377-2217(00)00104-1
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we deal with a real problem on production and transportation in a housing material manufacturer, and consider a production and transportation planning under the assumption that the manufacturer makes multiple products at factories in multiple regions and the products are in demand in each of the regions. First, we formulate mixed zero-one programming problems such that the cost of production and transportation is minimized subject to capacities of factories and demands of regions. Second, to realize stable production and satisfactory supply of the products in fuzzy environments, fuzzy programming for the production and transportation problem is incorporated. Finally, under the optimal planning of production and transportation, we show a profit and cost allocation by applying a solution concept from game theory. Using actual data, we show usefulness of the fuzzy programming and a rational allocation scheme of the profit and cost. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
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