Mathematical Models for Logistics Network Optimization with Uncertain Data

被引：2
|
作者：
Peng, Jin [1 ]
机构：
[1] Huanggang Normal Univ, Coll Math & Stat, Inst Uncertain Syst, Huanggang 438000, Hubei, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER COMMUNICATIONS (ITCC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Logistics network; Uncertain data; Logistics network optimization; Express logistics delivery model; BIG DATA; ROBUST SOLUTIONS; DESIGN; ENVIRONMENT; FACILITIES;
D O I：
10.1145/3355402.3355403
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Logistics network is referred to as the mathematical structure of a logistics system, and logistics network optimization means scientifically to study the problems how to optimize the characteristic structure or how to optimize some descriptive measures of logistics network. In the real world, logistics networks are frequently encountered with uncertain information represented by uncertain data. In this paper, we address the methodology of modeling logistics network optimization in the presence of uncertain data. A case study of express logistics delivery under uncertain environment is provided to prove the practicality of the model.
引用
收藏
页码：93 / 100
页数：8
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