基于模糊目标规划的多目标转运问题建模

Selçuk Alp, Tugba Kiral Ozkan
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引用次数: 2

摘要

运输问题的目的是试图找到最好的路线,以满足需求,利用有能力的供应点。虽然运输问题只允许产品从供应中心直接运输到需求中心,但也使用了转运转移中心的问题。线性规划方法可用于求解运输问题。但是,在有数字指标要实现的情况下;采用目标规划方法代替线性规划。目标规划是一种用于求解具有大量目标和目标的线性规划问题的方法。相反,线性规划方法是优化一个目标;目标规划,用于通过最小化目标值与实现结果之间的偏差来为冲突的目标交付结果。模糊目标规划方法用于解决无法测量目标和约束的精确值的问题。本文的目的是提出模糊目标规划作为一种可以在模糊情况下使用并揭示解的最佳决策模型,可以用于转运问题的建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of Multi-Objective Transshipment Problem with Fuzzy Goal Programming
The purpose of the transportation problem is trying to find the best route to meet the demands by using the supply points with capacity. While the Transportation problem only allowed products to be conveyed directly from the supply centers to demand centers, problem of transshipment transfer centers are also used. Linear programming methods can be used to solve the transportation problems. However, in the presence of numerical targets to achieve; Goal programming method is used instead of Linear Programming. Goal programming is a method applied to linear programming problems with a large number of goals and objectives. On the contrary to linear programming methods which is optimizing an objective; goal programming, used to deliver results for conflicting objectives by minimizing the deviation between objective values and the realized results. Fuzzy Goal Programming approach is used to solve problems if the exact value is not measured for the objectives and constraints. The purpose of this article is to put forth that the fuzzy goal programming which we can accept as one of the best decision-making models that can be used under the fuzzy and reveal the solution, can be used for the modeling of a transshipment problem.
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