Equipment Replacement Optimization.

摘要

The objective of this report is to (1) evaluate commercial fleet management systems; (2) determine the best optimization methodology; (3) develop the model if this is cost-effective relative to purchasing a commercial model; and (4) validate the new model as needed using data available on TxDOTs current fleet. To accomplish this project, the research team will formulate the ERO problem as an Integer Linear Programming (ILP) model, and develop both Deterministic Dynamic Programming (DDP) and Stochastic Dynamic Programming (SDP) approaches to solving the ERO problem. Certainly, this system is user-friendly and designed so that it can be easily used by non-technical district personnel (to evaluate individual district units against a class) and by technical division personnel (Fleet Manager) to develop optimal aggregate classcode replacement cycles.