模糊规划技术在附加约束固体运输问题中的应用

IF 0.7 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Operations Research and Decisions Pub Date : 2020-01-01 DOI:10.37190/ord200104

S. Halder, Biswapati Jana

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引用次数: 3

摘要

一个创新的，现实生活中的固体运输问题解释了非线性的形式。就像在现实生活中一样，总运输成本取决于采购过程或物品类型以及运输距离。此外，这里还考虑了杂质约束。该模型具有模糊不精确性。这样一个有趣的模型通过两种不同的模糊规划技术和分数规划方法进行优化，使用LINGO-14.0工具，然后使用广义梯度方法。最后，对这两种方法的模型进行了讨论。

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Application of fuzzy programming techniques to solve solid transportation problem with additional constraints

An innovative, real-life solid transportation problem is explained in a non-linear form. As in real life, the total transportation cost depends on the procurement process or type of the items and the distance of transportation. Besides, an impurity constraint is considered here. The proposed model is formed with fuzzy imprecise nature. Such an interesting model is optimised through two different fuzzy programming techniques and fractional programming methods, using LINGO-14.0 tools followed by the generalized gradient method. Finally, the model is discussed concerning these two different methods.

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来源期刊

Operations Research and Decisions OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

1.00

自引率

25.00%

发文量

审稿时长

15 weeks