Staging queues in material handling and transportation systems
Proceedings of the 33nd conference on Winter simulation
Reducing Labor Costs in an LTL Crossdocking Terminal
Operations Research
Queuing network analysis for waterways with artificial neural networks
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Job shop scheduling with setup times, deadlines and precedence constraints
Journal of Scheduling
A Robust Strategy for Managing Congestion at Locks on the Upper Mississippi River
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Computers and Industrial Engineering
HICSS '12 Proceedings of the 2012 45th Hawaii International Conference on System Sciences
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Systems for transportation, business logistics, production, and customer service must be constructed with consideration of economy, efficiency, user-equity, and flexibility. A proper blend of statistical modeling, deterministic optimization, heuristic scheduling procedures, and computer simulation enables the strategic design of such systems while anticipating the complexity of operations. Performance on multiple dimensions may be investigated for alternative physical configurations and operating procedures while accommodating time-varying mixes of traffic and demands for service. This paper illustrates the blending of analytical tools for an inland waterway transportation service system where staged queues provide the conceptual foundation for operations, and it advocates the use of similar modeling approaches for the strategic design and management of other service systems. For airline traffic at a major commercial airport, where systems of staged queues need to be integrated for optimizing flight and ground operations, the authors suggest the data and analytical models that may be deployed in this more complex environment.