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Model for fleet sizing and vehicle allocation

Thesis/Dissertation ·
OSTI ID:5072306

The fundamental premise upon which this dissertation is based is that fleet-sizing and vehicle-utilization decisions are interdependent and together have a significant affect on the long-run profitability of a transportation system. The objective of this research is to develop a model to aid decisions on fleet sizing in situations in which demand fluctuates over time (including both deterministic and stochastic changes), and vehicle travel times over the network are uncertain, leading to uncertainty regarding when specific vehicles will be available for use to meet specific demands. Since the interaction between fleet sizing and vehicle-utilization decisions under dynamic and uncertain conditions has not previously been studied, the model is specifically intended to provide insight into the nature of that relationship. After identifying the potentially important interactions of fleet size and vehicle utilization, a mathematical programming formulation of the problem is presented. An approximation to the exact formulation is developed based on a time-space representation of a dynamic network, which can be solved using network-optimization algorithms.

Research Organization:
Cornell Univ., Ithaca, NY (USA)
OSTI ID:
5072306
Country of Publication:
United States
Language:
English