On controlling the total flow in two stage time minimizing transportation problem

Kalpana Dahiya, Prabhjot Kaur, V. Verma
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Abstract

Transportation Problem is an important aspect which has been widely studied in Operations Research domain. A good and efficient transport is a key factor in mass production where the goods can reach the consumer from the production site or factory which may be situated many miles away. It has been studied with the objective of minimizing cost and the time to simulate different real life problems. In this paper, we study a time minimizing transportation problem in which the exact total demand of the destinations cannot be satisfied in one go. Due to some reasons, only a particular amount less than the exact total demand, can be transported first and therefore, rest of the amount has to be transported later. It gives rise to a two stage time minimizing transportation problem in which the stage-I flow is restricted. The present study proposes an iterative algorithm which concentrates on minimizing the total time of transportation of both the stages. At each iteration, a pair of times of Stage-I and Stage-II is generated with Stage-II time strictly less than the Stage-II time of the previous iteration. The pair with the minimum sum of Stage-I and Stage-II times is considered as the optimal pair and the corresponding transportation schedule is considered as the optimal solution of the problem.
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在两段时间内控制总流量的最小化运输问题
运输问题是运筹学领域广泛研究的一个重要方面。在大规模生产中,良好而高效的运输是一个关键因素,因为货物可以从可能位于许多英里之外的生产地点或工厂到达消费者手中。以最小化成本和时间为目标来模拟不同的现实生活问题。本文研究了一种不能一次满足目的地总需求的时间最小化运输问题。由于某些原因,只能先运输少于确切总需求的特定数量,因此,其余数量必须稍后运输。这就产生了一个两阶段时间最小化的运输问题,在这个问题中,第一阶段的流量是受到限制的。本研究提出了一种迭代算法,该算法集中于最小化两个阶段的总运输时间。在每次迭代中,生成阶段i和阶段ii的一对时间,其中阶段ii的时间严格小于前一次迭代的阶段ii时间。将阶段i和阶段ii时间总和最小的配对视为最优配对,将相应的运输计划视为问题的最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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