基于随机需求的服务节点截流选址下限约束模型

工业工程 ›› 2011, Vol. 14 ›› Issue (5): 79-83.

基于随机需求的服务节点截流选址下限约束模型

1.西安电子科技大学经济管理学院，陕西西安 710071; 2.泰康人寿保险股份有限公司，北京 100026

出版日期:2011-10-31 发布日期:2011-11-11
作者简介:施宏伟（1965-），男，河南省人，副教授，博士，主要研究方向为公共资源系统管理、知识创新与服务创新管理.
基金资助:
中央高校基本科研业务费专项资金资助项目（72104957）；陕西省自然科学基金资助项目（06KR71）

An Interception Flow Location Model with Lower Demand Bound Constraint under Stochastic Demands

1.School of Economics and Management, Xidian University, Xi'an 710071, China;
2.Taikang Lift Insurance Co.Ltd., Beijing 100026,China

Online:2011-10-31 Published:2011-11-11

摘要/Abstract

摘要： 通过顾客服务需求效用期望的函数描述，分析了顾客流量分配规律随机性特征，界定了服务节点设施期望截获的顾客流量分布；考虑节点设施的生存约束条件，构建了具有流量需求下限约束的服务设施截流选址模型。实证研究表明，通过估计和优化一定节点服务设施的顾客流量下限约束及其满足概率，服务节点截流选址模型可有效地帮助投资主体寻求回报率最大的服务节点组合，并对新建服务节点决策提供数据支持。

关键词: 随机需求, 截流选址, 顾客截流量

Abstract: Often it requires a lower demand bound to build a service node. Based on this requirement, this paper discusses the interception flow location problem with lower demand bound constraint considered. By presenting a utility function of customer demands, the stochastic distribution characteristics of customer flows is analyzed and the intercepted distribution of the customers of each service node is given. Then, a flow interception location model with lower demand bound constraint is presented by analyzing the operation constraints of the node facility. A case study is given to verify the application of the proposed model. Result shows that, by the estimation and optimization of the lower demand bound and its satisfied probability for each service node, the proposed model can help the stakeholders to solve the location problem and obtain the largest return.

Key words: stochastic demands, interception flow location, intercepted customer flow

施宏伟1, 马超1，魏莉2. 基于随机需求的服务节点截流选址下限约束模型[J]. 工业工程, 2011, 14(5): 79-83.

Shi Hong-wei1, Ma Chao1, Wei Li2. An Interception Flow Location Model with Lower Demand Bound Constraint under Stochastic Demands[J]. Industrial Engineering Journal , 2011, 14(5): 79-83.

参考文献

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