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Title: Two-Stage Data Envelopment Analysis Method for Transportation Infrastructure Maintenance Management
Accession Number: 01627581
Record Type: Component
Abstract: Maintenance administrators of transportation infrastructure assets are always facing the challenges of ensuring productive spending and determining the most efficient ways to spend the limited amount of funds and resources available. Efficient resource allocation depends on how efficient the process of maintenance is across all levels of jurisdiction. Especially in states implementing performance-based maintenance management, the knowledge of how efficient a maintenance unit is performing is very important in the state agencies’ maintenance investment strategy. A Data Envelopment Analysis (DEA)-based framework allows for efficiency comparison of maintenance units. Implementation of this framework in a decentralized fashion allows for comparison of maintenance units within a specific jurisdictional area, providing results showing the particular time period when maintenance units performed efficiently and inefficiently. However, the non-parametric nature of the DEA method limits the framework to compare efficiencies of units included in a particular comparison model. This study introduces the use of two-stage DEA method to improve the existing DEA framework for efficiency measurement of infrastructure maintenance. This involves regressing the values of the efficiency factors and testing their statistical viability before re-running the values through the DEA model. The inclusion of statistical aspects into DEA framework helps to identify factors with significant effect on efficiencies of maintenance units. It also increases the validity of efficiency numbers resulted from the efficiency comparison.
Supplemental Notes: This paper was sponsored by TRB committee AHD10 Standing Committee on Maintenance and Operations Management.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02484
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Juni, EmilAdams, Teresa MPagination: 15p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02484
Files: PRP, TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:56AM
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