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首页> 外文期刊>Journal of Applied Mathematics and Bioinformatics >Improved Least Cost Method to Obtain a Better IBFS to the Transportation Problem
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Improved Least Cost Method to Obtain a Better IBFS to the Transportation Problem

机译:改进的最低成本方法以获得更好的运输问题IBFS

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Transportation modeling is a technique that is used toway out the shipping of supplies from a number of sources to a number ofdestinations as well as to minimize the total shipment cost. This kind ofproblem is known as transportation problem (TP). Solution procedure of TP playsa vital role in operation research for its wide application in real world. Inthe solution procedure of a TP, finding an initial basic feasible solution(IBFS) is necessary to obtain the optimal solution. Least Cost Method (LCM) isone such procedure which is based on cost cells. This solution procedure startswith allocating as much shipments as possible to the cell with the smallestunit cost cell. In this paper we propose an effective improvement of LCM in thesolution procedure to obtain a better IBFS for the TPs. To verify theperformance of the proposed method, a comparative study is also carried out.Simulation results show that Improved Least Cost Method (iLCM) yields betterIBFS in 80% cases than LCM.
机译:运输建模是一种用于将耗材从多个来源运输到多个目的地的方法,该技术用于使总运输成本最小化。这种问题称为运输问题(TP)。 TP的解决方案在现实世界中有着广泛的应用,在运筹学中起着至关重要的作用。在TP的求解过程中,找到初始的基本可行解(IBFS)对于获得最优解是必要的。最低成本方法(LCM)是一种基于成本单元的过程。此解决方案过程从为具有最小单位成本单元的单元分配尽可能多的发货开始。在本文中,我们提出了对LCM的有效改进,以期为TP获得更好的IBFS。为了验证该方法的有效性,还进行了比较研究。仿真结果表明,改进的最小成本法(iLCM)在80%的情况下比LCM产生更好的IBFS。

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