https://doi.org/10.48009/1_iis_2010_100-110 KNOWLEDGE-BASED SUPPLY CHAIN NETWORK: A SIMULATION APPLICATION DESIGN CONFIGURED WITH RADIO FREQUENCY IDENTIFICATION, FREIGHT TRAIN DISPATCH, AND CONTAINER SHIPMENTS Andrew H. Chen, Soochow University, Taipei, Email:
[email protected] William A. Chen, University of California, Email:
[email protected] Christina E. Chen, University of California, Email:
[email protected] ABSTRACT third largest container harbor. This port complex Owing to the transportation overcrowding in handles about 35% of all waterborne containers in the Southern California, a Knowledge-Based Supply U.S. [2]. Chain Network (KSCN) is envisioned to incorporate an On-Dock marine terminal, an emerging inland Problems Addressed by the Study multi-modal freight hub, and a dedicated shuttle train to rapidly ship containers out of the marine terminal The economic benefits from the growth of container to an inland hub. To alleviate the full load of shipments constitute a dilemma to today’s urban container shipments in Long Beach (LB), this study environments [8]. The challenging issues include approaches Victorville, California (90 miles away port safety, congestion, economic impacts of the from LB) as the locale for the new inland freight hub. transportation system (e.g., mobility, accessibility, To accomplish its potential use of a maglev or high and reliability), and environmental quality [19]. speed shuttle train, this study develops a KSCN through simulation and optimization, specifically by The Southern California transportation system has utilizing information flows as a platform for been severely deteriorated by container shipments manipulating container shipments and data since 2000 [15]. Organizing and prioritizing freight interactions. The purpose of this study is to present a flows and validating the suggested methodology are shipping simulation model and an intelligent seen as preliminary steps toward problem solving database using Radio Frequency Identification among the shipping company stakeholders.