MPC
Project Details

Title:	Statistical Analysis and Sampling Standards for Maintenance Management Quality Assurance
Principal Investigators:	Xiaoyue Cathy Liu
University:	University of Utah
Status:	Completed
Year:	2015
Grant #:	DTRT13-G-UTC38 (MAP21)
Project #:	MPC-494
RH Display ID:	151219
Keywords:	condition surveys, inspection, maintenance management, quality assurance, sampling, standardization, statistics, structural health monitoring

Abstract

Maintenance management is very critical to the efficient allocation of resources and greater efficiencies in work processes. State DOTs need to continuously plan maintenance activities to monitor and maintain their highways, bridges, and other transportation infrastructures. Considering the limited budget and resources, maintenance activities need to be carefully planned and deployed such that the field inspections for measured conditions are conducted appropriately and statistically representative. It is thus necessary to develop a standardized statistical method to determine the samples (frequency and amount) to be collected to streamline productivity and ensure maintenance quality. This project will also develop a methodological framework for compiling, processing and statistically analyzing the data from sampled field inspections. Resampling statistical method might be used here in case the collected data are not significantly representing the "true" measurement. The framework will be able to determine the overall conditions of the system based on the collected sample data.

Project Deliverables

• [Final Report] Statistical Analysis and Sampling Standards for Maintenance Management Quality Assurance — MPC-18-350
  • View Research Brief

Project Word Files

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