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Title: A Conceptual Model for the Measurement of International Supply Chains Performance: The Texas Border Fluidity Index
Accession Number: 01626773
Record Type: Component
Abstract: Freight-specific performance measures help to identify needed transportation improvements and monitor their effectiveness. The objective of this research is develop a conceptual model to measure the performance of international supply chains at the Texas/México border. Innovative cross-border freight specific performance measures were defined, along with the process to calculate them, and identifying data sources. An example with data extracted from public sources is provided in order to illustrate the conceptual model. Results from this research will provide a comprehensive cross-border specific freight performance measurement system. The defined group of border performance indicators could be incorporated into freight transportation planning efforts. These indicators will impact border-trade positively by providing fluidity assessment and benchmark tools, which could be used for identifying potential improvements and investment needs in the border crossing environment.
Supplemental Notes: This paper was sponsored by TRB committee ABJ90 Standing Committee on Freight Transportation Data. Alternate title: Conceptual Model for Measurement of International Supply Chain Performance: Texas Border Fluidity Index.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02199
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Barrera, Mario M MonsrealVilla, Juan CarlosPagination: 20p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Freight Transportation; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02199
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:49AM
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