The design of real-time logistics information system for trucking industry |
| |
Authors: | Shih-Che Lo Randolph W Hall |
| |
Affiliation: | 1. Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Keelung Rd., Sec. 4, Taipei 106, Taiwan, ROC;2. Epstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, GER 240, Los Angeles, CA 90089-0193, USA |
| |
Abstract: | A critical link 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. |
| |
Keywords: | Logistics information system Fuzzy theory Truck scheduling Travel time forecasting Loop detectors |
本文献已被 ScienceDirect 等数据库收录! |
|