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Modeling a Coal Car Cooperative Transportation Network. Sarah Root, Ph.D., Chase Rainwater, Ph.D., and Hector Vergara Department of Industrial Engineering University of Arkansas CELDi IAB Meeting October 20, 2010. Project Motivation. Problem Description. Coal transportation network
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Modeling a Coal Car Cooperative Transportation Network Sarah Root, Ph.D., Chase Rainwater, Ph.D., and Hector Vergara Department of Industrial Engineering University of Arkansas CELDi IAB Meeting October 20, 2010
Project Motivation University of Arkansas - Department of Industrial Engineering
Problem Description • Coal transportation network • Unit trains shipped from PRB, WY • Transportation represents a significant portion of total coal cost • PRB coal costs approximately: • $10/ton to mine • $15-$16/ton to ship to AR PRB Plant University of Arkansas - Department of Industrial Engineering
Coal Transportation Network University of Arkansas - Department of Industrial Engineering
CCC Concept 3 2 1 PRB CCC Plant University of Arkansas - Department of Industrial Engineering 5
CCC Concept 3 2 1 PRB CCC Plant University of Arkansas - Department of Industrial Engineering 5
CCC Concept 6 5 4 3 PRB 2 1 CCC Plant University of Arkansas - Department of Industrial Engineering 5
CCC Concept 6 3 PRB 5 4 CCC 2 1 Plant University of Arkansas - Department of Industrial Engineering 5
CCC Concept 9 8 7 PRB 6 3 CCC 5 4 Plant University of Arkansas - Department of Industrial Engineering 5
CCC Decision Support Tool University of Arkansas - Department of Industrial Engineering
CCC Decision Support Tool Graphical User Interface University of Arkansas - Department of Industrial Engineering
CCC Decision Support Tool University of Arkansas - Department of Industrial Engineering
CCC Decision Support Tool University of Arkansas - Department of Industrial Engineering
CCC Decision Support Tool University of Arkansas - Department of Industrial Engineering
CCC Decision Support Tool • Results University of Arkansas - Department of Industrial Engineering
Conclusions • The flexibility of the decision support tool allows the analyst to consider many scenarios • Results are highly dependent on the participants and their role under a given scenario • Some reasonable scenarios show that the concept is volume feasible University of Arkansas - Department of Industrial Engineering
Future Research • Refine cost feasibility analysis • Simulate car build-up at CCC • Propose implementation plan in phases • Analyze CCC operations • Locomotive and car scheduling • Empty balancing University of Arkansas - Department of Industrial Engineering
Questions? seroot@uark.edu cer@uark.edu hvergara@uark.edu University of Arkansas - Department of Industrial Engineering