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Logistics of Using Underground Pipelines for Freight Transportation Freight Pipeline Company James S. Noble, Ph.D., P.E. & Mustafa Sir, Ph. D. Gaohao Luo, Anna McLaughlin, Nichole Smith. AGENDA – October 28, 2009 Problem Statement / Approach Current Work Operations Optimization
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Logistics of Using Underground Pipelines for Freight TransportationFreight Pipeline Company James S. Noble, Ph.D., P.E. & Mustafa Sir, Ph. D. Gaohao Luo, Anna McLaughlin, Nichole Smith • AGENDA – October 28, 2009 • Problem Statement / Approach • Current Work • Operations Optimization • Load / Unload Analysis • Simulation Center for Engineering Logistics and Distribution (CELDi)An NSF sponsored Industry/University Cooperative Research Center
% Complete Logistics of Using Underground Pipelinesfor Freight TransportationResearch Team: James Noble(PI), Mustafa Sir, GaohaoLuo Anna McLaughlin, Nichole Smith 0% 100% Sponsor:Freight Pipeline Company Problem in context: Many large metro areas around the world are highly congested hindering the flow of freight in and out. Underground freight pipelines or tubes can reduce congestion, reduce environmental impact of freight movement and reduce overall transportation cost. Projects are currently in the evaluation stage in New York, Sydney, Shanghaiand others. • Important/Expected Results • Tube network design – I/O location, flow path • Capsule dispatching / control algorithms • Cargo tracking approaches • Design of load / unloading processes • Capacity analysis • Technical Approach • Assess related logistics issues • Develop object oriented simulation model for analyzing dispatching / control approaches • Formulate design / operation models • Development of solution algorithms • Model sensitivity analysis • Implementation scenario analysis • What can other members use? • Network design algorithms • Loading/unloading algorithms • Cargo tracking strategies • Dispatching / control algorithms
Problem Statement • Logistics issues associated with freight tube system • Tube network design – I/O location, flow path • Dispatch/control of capsules according to freight shipment needs (capacity and schedule) • Tracking of cargo in transit in the pipe and in storage room • Design of cargo loading and unloading process at freight pipeline terminals • Capacity analysis
Project Approach • Literature review of related problem areas (i.e. pneumatic pipeline, AGV systems, rail systems) • Determination of modeling issues • Technology constraints • # vehicles / train length • Route / network design • Buffer size / load sizes • … • Development of simulation model (Simio) • Development of optimization models for select design issues • Model analysis
Problem Domain • Network Design • flow path • # & location P/D Vehicle Technology Vehicle Rqmts - size and # Information - ID (RFID) • Operation • dispatching • routing
Operation Optimization Minimize Total squared tardiness Subject to: Sequential operations Capacity
The parameters of the example are shown below: Operation Optimization: Case Example
Operation Optimization: Case Example All three operations can be completed using one of the following 3 schedules: • O12 O23 O31 ,then the sum of square of total tardiness = 12 + 22 + 32 = 14 • O23 O31 O12, then the sum of square of total tardiness = 02 + 12 + 62 = 37 • O31 O12 O23, then the sum of square of total tardiness = 02 + 42 + 52 = 41 Lingo Results