标题：KNOWLEDGE-BASED SUPPLY CHAIN NETWORK: A SIMULATION APPLICATION DESIGN CONFIGURED WITH RADIO FREQUENCY IDENTIFICATION, FREIGHT TRAIN DISPATCH, AND CONTAINER SHIPMENTS
出版社：International Association for Computer Information Systems
摘要：Owing to the transportation overcrowding in Southern California, a Knowledge-Based Supply Chain Network (KSCN) is envisioned to incorporate an On-Dock marine terminal, an emerging inland multi-modal freight hub, and a dedicated shuttle train to rapidly ship containers out of the marine terminal to an inland hub. To alleviate the full load of container shipments in Long Beach (LB), this study approaches Victorville, California (90 miles away from LB) as the locale for the new inland freight hub. To accomplish its potential use of a maglev or high speed shuttle train, this study develops a KSCN through simulation and optimization, specifically by utilizing information flows as a platform for manipulating container shipments and data interactions. The purpose of this study is to present a shipping simulation model and an intelligent database using Radio Frequency Identification (RFID) and Automatic Equipment Identification (AEI) tag messages, and conclude that applying this essential freight simulation model can help configure the solutions and prevent the freight bottlenecks in the future.
关键词：Train Simulation;RFID;AEI;Knowledge-Based System
