Measuring dynamic efficiency of highway maintenance operations |
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| Affiliation: | 1. Industrial and Manufacturing Engineering Department, California State Polytechnic University, Pomona, 3801 W Temple Ave, Pomona, CA, USA;2. Grado Department of Industrial & Systems Engineering, System Performance Laboratory, Virginia Tech Northern Virginia Center, 7054 Haycock Road, Falls Church, VA, USA;3. Grado Department of Industrial & Systems Engineering, Virginia Tech Northern Virginia Center, 7054 Haycock Road, Falls Church, VA, USA;4. Via Department of Civil and Environmental Engineering, Center for Highway Asset Management Programs (CHAMPS), Virginia Tech, Blacksburg, VA, USA;1. Management Department, Bentley University, Waltham, MA 02452, USA;2. School of Information, Renmin University of China, Beijing 100872, China;3. Department of Systems Science and Industrial Engineering, SUNY at Binghamton, Binghamton, NY 13902, USA;1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China;2. Tianjin Key Laboratory of Port and Ocean Engineering, Tianjin University, Tianjin, 300072, China;3. Marine Design and Research Institute of China, Shanghai, 200011, China |
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| Abstract: | In this paper we discuss a dynamic efficiency measurement model for evaluating the performance of highway maintenance policies where the inter-temporal dependencies between consumption of inputs (i.e., maintenance budget) and realization of outputs (i.e., improvement in road condition) are explicitly captured. We build on a micro representation of pavement deterioration and renewal processes and study the impact of the allocation of scarce maintenance budgets over time. We provide a measure of efficiency that contrasts the optimized budget allocations to the actual ones. The developed model is then applied to an empirical dataset of pavement condition and maintenance expenditures over the years 2002 to 2008 corresponding to seventeen miles of interstate highway that lay in one of the counties in the state of Virginia, USA. The policies that were found through optimization showed that road authorities should give higher priorities to preventive maintenance than corrective maintenance. In essence, by applying preventive maintenance, the road authorities can effectively decrease the need for future corrective maintenance while spending less overall. |
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| Keywords: | Dynamic efficiency Inter-temporal dependence Road maintenance Budget allocation |
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