The design of real-time logistics information system for trucking industry

被引：5
|
作者：
Lo, Shih-Che [1 ]
Hall, Randolph W. [2 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei 106, Taiwan
[2] Univ So Calif, Epstein Dept Ind & Syst Engn, Los Angeles, CA 90089 USA
来源：
COMPUTERS & OPERATIONS RESEARCH | 2008年 / 35卷 / 11期
关键词：
logistics information system; fuzzy theory; truck scheduling; travel time forecasting; loop detectors;
D O I：
10.1016/j.cor.2007.01.023
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A critical I ink in the overnight Express Package services is the on-time arrival of trucks at local airport terminals. Truck delays can delay the package sorting process, which can in turn delay aircraft departures from the local terminal, as well as aircraft departures from hub terminals that depend on timely aircraft arrivals. In this paper, the design of a real-time logistics information system (RLIS) for trucking industry was addressed, considering the effects of traffic congestion during rush hour. Two types of forecasting methods, time series models and nonlinear fuzzy reasoning, were created and embedded into the RLIS. The results from practical web services reveal a substantial improvement of the truck scheduling performance and help decision makers determine schedule coordination between ground transportation and aircraft departures at airport cargo terminals. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3439 / 3451
页数：13
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