Comparison Between Zero Point and Zero Suffix Methods in Fuzzy Transportation Problems

P. T. Ngastiti, B. Surarso, Sutimin Sutimin
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引用次数: 4

Abstract

Transportation is discussing the problems of distribution items from a source to a destination with an aim to minimize transportation costs. The problem of fuzzy transport is the cost of transportation, supply, and demand with a quantity of fuzzy. The purpose of the research is a study of a comparison of theories from the zero-point method and the zero-suffix method in determining the optimal solution on cost transportation. Based on the result of the theoretical comparison, it can be concluded that the process of using the zero-suffix method is shorter in determining an optimal solution in 6 steps than that of a zero-point method in 11 steps. For achieving the optimal value shows that for zero-suffix the method of occurrence iteration in the sixth step, but for the zero-point method the iteration occurs in the ninth step. The results in the numerical comparison we conclude the distribution cost using two methods is the same, based on the demand and supply obtained 7 times iteration and 7 items allocation for zero point method, while 6 times iteration and 7 items allocation for zero suffix method.
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模糊运输问题中零点法与零后缀法的比较
运输是讨论的问题分配项目从一个来源到目的地的目的是最大限度地减少运输成本。模糊运输问题是运输成本、供给和需求具有一定数量的模糊性。本研究的目的是比较零点法和零后缀法确定成本运输最优解的理论。从理论比较的结果可以看出,零后缀法6步确定最优解的过程比零点法11步确定最优解的过程要短。对于实现最优值的方法表明,对于零后缀的出现迭代方法在第六步进行,而对于零点的迭代方法在第九步进行。通过数值比较得出两种方法的配送成本相同,基于需求和供给得到7次迭代和7项分配为零点法,而6次迭代和7项分配为零后缀法。
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审稿时长
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