首页> 外文期刊>RAIRO operations research >MULTI-CHOICE AND STOCHASTIC PROGRAMMING FORTRANSPORTATION PROBLEM INVOLVED IN SUPPLY OF FOODS AND MEDICINES TO HOSPITALS WITH CONSIDERATION OF LOGISTIC DISTRIBUTION
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MULTI-CHOICE AND STOCHASTIC PROGRAMMING FORTRANSPORTATION PROBLEM INVOLVED IN SUPPLY OF FOODS AND MEDICINES TO HOSPITALS WITH CONSIDERATION OF LOGISTIC DISTRIBUTION

机译:多项选择和随机编程 考虑到物流分布,在医院供应食品和药品的运输问题

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摘要

The objective of the proposed article is to minimize the transportation costs of foods and medicines from different source points to different hospitals by applying stochastic mathematical programming model to a transportation problem in a multi-choice environment containing the parameters in all constraints which follow the Logistic distribution and cost coefficients of objective function are also multiplicative terms of binary variables. Using the stochastic programming approach, the stochastic constraints are converted into an equivalent deterministic one. A transformation technique is introduced to manipulate cost coefficients of objective function involving multi-choice or goals for binary variables with auxiliary constraints. The auxiliary constraints depends upon the consecutive terms of multi-choice type cost coefficient of aspiration levels. A numerical example is presented to illustrate the whole idea.
机译:拟议的文章的目的是通过将随机数学编程模型应用于不同的多项选择环境中的运输问题来使不同来源点的食品和药物的运输成本降低到包含沿着物流分布的所有约束中的参数 目标函数的成本系数也是二元变量的乘法术语。 使用随机编程方法,随机约束被转换为等同的确定性。 引入了一种转换技术来操纵涉及具有辅助约束的二元变量的多项选择或目标的客观函数的成本系数。 辅助约束取决于抽吸水平的多项多项成本系数的连续术语。 提出了一个数字示例以说明整个想法。

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