Slides from 1997 Poster Overview. Transportation and Supply Chain Projects Sponsored by Partner Centers. TRANSPORTATION. Rural Transportation. Networks & Routing. Resource Utilization. Optimal Door Assignment MBTC-98-2. Truck-Barge MBTC-98-5. Trucking & Inter-Modal MBTC-98-1 & 6.
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Sponsored by Partner Centers
MBTC-98-1 & 6
MBTC-98-7 & 8
Cole, English, Alam, Mukundh, Mohsin, Youngblood
Determining the transportation requirements of the welfare to work recipients.
Forecast Transportation Requirements.
Develop models for Handling Requirements.PUBLIC TRANSIT
TLI Projects(99) TLI Projects(00) MBTC Projects
into a global environment
help achieve balance
customers, carriers, safety,
Leader in Logistics: Defense Logistics Agency
Project Director: Manuel Rossetti
Co-PIs: Terry Collins, Erhan Kutanoglu
Assistants: Nancy Sloan, Yeu-San Tee, Mee-Ching Chow
Problem:Determine pre-positioning strategies for supplying Pacific Rim sites that can simultaneously meet desired service and cost levels.
Objective:Develop transportation and inventory models to optimize DLA’s inventory decisions for the Pacific Rim.
Phase 1: Evaluation of pre-existing software (ShipCost) for use in the analysis of DLA’s shipping options. Development of ShipRoutes spreadsheet application for DLA’s logistics network in the Pacific Rim. Based on the same cost models as ShipCost, it calculates total transportation cost and time for all modal combinations for a route.
Phase 2: Discovery and evaluation of multi-echelon inventory models and spreadsheets appropriate to DLA’s inventory system, considering meeting customer service requirements at the least cost for transportation, ordering, and inventory.
Conclusion:Lack of real data precluded testing the models developed by U of A.
Global Concepts, Inc.
Project Director: Scott J. Mason
Description:Optimizing key components of the supply chain in isolation, while promoting locally optimum solutions, can result in globally sub-optimal performance.
Objective:Explore the potential advantages of integrating these two critically-linked segments during supply chain optimization using a pull model with the goal of establishing a virtual warehouse.
Industry Support: J.B. Hunt Transport
Erhan Kutanoglu, Univ. of Arkansas
G. Don Taylor, Univ. of Louisville
Problem: Find the best time for making load assignment decisions: Should one wait for last minute opportunities or preplan these activities?
Approach: Using simulation and optimization, quantify the trade-off between having an early plan and waiting for soon-to-arrive opportunities
Objective:Provide a simulation and optimization-based tool for this analysis.
Industrial Collaborator: Tyson Foods
Researchers: Darin Nutter (MEEG) and Richard Cassady, and Chet Tuck Wong
Industry Support: ABF
Researchers: Erhan Kutanoglu and Mike Cole, Univ. of Arkansas
Mike Bartolacci, Penn State
Research Assistant: Adam Ho
Problem: What is the effect of increasing e-commerce activities on the existing physical transportation network?
Approach: Estimate the amount of commerce generated by e-commerce using Gravity Models
Objective: Develop a modeling tool to help planners estimate e-commerce generated transportation flows and predict the effects on the transportation system
Researchers: Manuel D. Rossetti and Terry Collins
Research Assistant:Tat Yuen Sang
Industry Support:J.B. Hunt Transport
Researchers: Erhan Kutanoglu, University of Arkansas,
G. Don Taylor, University of Louisville and Darsono Tjokroamidjojo
Problem: Capture the tradeoff between driver retention and utilization objectives
Approach: Form a terminal city network by partitioning drivers and network. Regularize the tour generation using simulation and optimization
Objective: Provide engineered solutions to dispatching problems within terminal cities
Researchers: Darin Nutter (MEEG), John English, Richard Cassady, and Don Taylor (UL)
Research Assistant: Chet Tuck Wong