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Accession Number ADA566840
Title Rough-Cut Capacity Planning in Multimodal Freight Transportation Networks.
Publication Date Sep 2012
Media Count 127p
Personal Author R. B. Hartlage
Abstract A main challenge in transporting cargo for United States Transportation Command (USTRANSCOM) is in mode selection or integration. Demand for cargo is time sensitive and must be fulfilled by an established due date. Since these due dates are often in flexible, commercial carriers are used at an enormous expense, in order to fill the gap in organic transportation asset capacity. This dissertation develops a new methodology for transportation capacity assignment to routes based on the Resource Constrained Shortest Path Problem (RCSP). Routes can be single or multimodal depending on the characteristics of the network, delivery timeline, modal capacities, and costs. The difficulty of the RCSP requires use of metaheuristics to produce solutions. An Ant Colony System to solve the RCSP is developed in this dissertation. Finally, a method for generating near Pareto optimal solutions with respect to the objectives of cost and time is developed.
Keywords Ant colony system
Cargo
Colonies(Biology)
Mathematical models
Metaheuristics
Military transportation
Network optimization
Networks
Optimization
Routes
Routing
Theses


 
Source Agency Non Paid ADAS
NTIS Subject Category 62 - Computers, Control & Information Theory
74E - Logistics, Military Facilities, & Supplies
Corporate Author Air Force Inst. of Tech., Wright-Patterson AFB, OH. School of Engineering and Management.
Document Type Thesis
Title Note Doctoral thesis.
NTIS Issue Number 1307
Contract Number N/A

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