基于模糊目标规划的应急物流多目标随机规划模型

中国机械工程 ›› 2011, Vol. 22 ›› Issue (23): 2858-2862.

基于模糊目标规划的应急物流多目标随机规划模型

詹沙磊;刘南

浙江大学，杭州，310058

出版日期:2011-12-10 发布日期:2011-12-20
基金资助:
国家自然科学基金重大研究计划资助项目(90924023)；国家自然科学基金资助项目(70771100)
Major Research Program of National Natural Science Foundation of China（No. 90924023）;
National Natural Science Foundation of China（No. 70771100）

A Multi-objective Stochastic Programming Model for Emergency Logistics Based on Fuzzy Goal Programming

Zhan Shalei;Liu Nan

Zhejiang University, Hangzhou, 310058

Online:2011-12-10 Published:2011-12-20
Supported by:

Major Research Program of National Natural Science Foundation of China（No. 90924023）;
National Natural Science Foundation of China（No. 70771100）

摘要/Abstract

摘要：

研究了多出救点、多受灾点、多应急物资的应急设施选址、物资配送问题。同时考虑需求及配送路径的不确定性，从多目标的角度，建立了应急物流的多目标随机规划模型。模型的特点为：物资配送路径具有随机畅通性，且出救点对受灾点有覆盖范围限制。通过将模型设计成带补偿的两阶段随机规划来消除不确定性。提出了基于“加权排序法”的模糊目标规划求解多目标问题。算例证明了模型与解法的有效性。



关键词:

应急物流, 多目标随机规划, 情景, 模糊目标规划

Abstract:

This paper addressed the problem of emergency facilities location-relief allocation in multi-suppliers, multi-affected areas, and multi-relief emergency logistics networks. Considering the uncertainty of demands and allocation paths, a multi-objective stochastic programming model was proposed, whose features were: the availability of relief-allocation path was stochastic, and there were coverage limits for relief suppliers to cover affected areas. The uncertainty was disclosed by using two-stage stochastic programming with recourse. And fuzzy goal programming based on “weighted ordered method” was proposed to solve the multi-objective problem. Numerical results indicate the validity of the model and solution.

Key words: emergency logistics, multi-objective stochastic programming, scenario, fuzzy goal programming

中图分类号:

U116
X4

詹沙磊, 刘南.

基于模糊目标规划的应急物流多目标随机规划模型

[J]. 中国机械工程, 2011, 22(23): 2858-2862.

DAN Sha-Lei, LIU Na.

A Multi-objective Stochastic Programming Model for Emergency Logistics Based on Fuzzy Goal Programming

[J]. China Mechanical Engineering, 2011, 22(23): 2858-2862.

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