交通运输系统工程与信息 ›› 2010, Vol. 10 ›› Issue (6): 53-63 .

• 系统工程理论与方法 • 上一篇    下一篇

具有模糊参数的运输问题的费用时间最小化实例研究

CHAKRABORTY Ananya;CHAKRABORTY M.   

  1. 印度矿业学院 应用数学系,印度加尔克汉德邦,丹巴德 826004
  • 收稿日期:2009-07-24 修回日期:2009-11-16 出版日期:2010-12-25 发布日期:2010-12-25
  • 通讯作者: CHAKRABORTY Ananya
  • 作者简介:CHAKRABORTY Ananya,女,博士.

Cost-Time Minimization in a Transportation Problem with Fuzzy Parameters: A Case Study

CHAKRABORTY Ananya;CHAKRABORTY M.   

  1. Department of Applied Mathematics, Indian School of Mines, Dhanbad-826004, Jharkhand, India
  • Received:2009-07-24 Revised:2009-11-16 Online:2010-12-25 Published:2010-12-25
  • Contact: CHAKRABORTY Ananya

摘要: 在实际应用中,经济和环境等因素的变化使得运输问题中的供给、需求以及单位运输成本难以确切地衡量. 同时,运输时间的最小化也较为重要. 本文提出了一种在运输供给、需求和单位运输成本为模糊量的情况下,最小化运输时间和成本的方法. 用具有非精确参数的多目标线性规划对此类问题建模. 针对不精确性,应用了模糊参数规划,并用全局规划求解此多目标问题. 最后,应用实例证明算法的有效性.

关键词: 运输经济, 不精确性, 模糊参数规划, 多准则最优化, 全局规划

Abstract: In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environmental conditions. It is also important that the time required for transportation should be minimum. In this paper a method has been proposed for the minimization of transportation cost as well as time of transportation when the demand, supply and transportation cost per unit of the quantities are fuzzy. The problem is modeled as multi objective linear programming problem with imprecise parameters. Fuzzy parametric programming has been used to handle impreciseness and the resulting multi objective problem has been solved by prioritized goal programming approach. A case study has been made using the proposed approach.

Key words: transportation economy, impreciseness, fuzzy parametric programming, multiple criteria optimization, goal programming

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