Abstract
 Grain Supply Chain Management Optimization Using ArcGIS in Argentina Track: Logistics Author(s): Matias Nardi, Stephen Sperry, Todd Davis This paper discusses the development of a GIS-based constrained linear programming model that minimizes production, storage and transportation costs for grain in Argentina for the 2004/05 crop-year. Given the demand of Argentine grain at the exporting ports, this study identified the lowest-cost grain producing regions; grain storage locations; grain transportation routes by truck, rail and barge; crusher facilities and exporting sites. The lowest-cost are optimized on a monthly basis from the different rates charged and constrained by the capacities at each stage of the supply chain from up-stream to down-stream; this is, from the farm-gate to the terminal elevator. Such a project can have significant impact on agricultural supply chain management for trading firms as well as producers, elevators and crushers by providing detailed information and images of the lowest-cost producing regions, transportation modes, storage locations and exporting sites. Matias Nardi Clemson University Applied Economics and Statistics 262 Barre Hall Clemson University Clemson , SC 29634 US Phone: (864) 656 7143 Fax: (864) 656 5776 E-mail: mnardi@clemson.edu Stephen Sperry Clemson University Department of Planning and Landscape Architecture 002 Hardin Hall Clemson University Clemson , SC 29634 US Phone: (864) 656 3635 E-mail: sperrys@clemson.edu Todd Davis Clemson University Department of Applied Economics and Statistics 285 Barre Hall Clemson University Clemson , SC 29634 US Phone: (864) 656 5777 Fax: (864) 656 5776 E-mail: tddavis@clemson.edu |
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