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Title: MODEL FOR OPTIMUM DEPLOYMENT OF EMERGENCY REPAIR TRUCKS: APPLICATION IN ELECTRIC UTILITY INDUSTRY
Accession Number: 00626913
Record Type: Component
Availability: Find a library where document is available Abstract: The uninterrupted supply of electricity is an important criterion for measuring the quality of service in the electric utility industry. An effective method for reducing service unavailability is to reduce the response time of emergency repair trucks (ERTs). An integrated methodological framework for the optimum deployment of ERTs is presented. The proposed methodology is based on an iterative procedure that involves the partition of a given geographical area into service territories and the subsequent simulation of the emergency repair operations within each service territory. A real-world problem is used to demonstrate the applicability of the proposed methodology. The results of the case study suggest that increasing the number of available ERTs from one to two decreases the response time by 64%, whereas an increase from two to three can provide only an additional 8% reduction. The reduction is mainly attributed to reduced dispatch time. Another significant observation is the fact that during heavy load, the nearest-neighbor dispatching policy provides better performance than the first-come, first-served policy. The proposed model is used by an electric utility company as a tool for determining the required number of ERTs and their service territories in such a way as to achieve predetermined service unavailability objectives.
Supplemental Notes: This paper appears in Transportation Research Record No. 1358, Vehicle Routing, Traveler ADIS, Network Modeling, and Advanced Control Systems. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Accession #: 01405045
Language: English
Authors: Zografos, K GDouligeris, CChaoxi, LPagination: p. 88-94
Publication Date: 1992
Serial: ISBN: 0309052246
Features: Figures
(6)
; References
(36)
; Tables
(1)
TRT Terms: Old TRIS Terms: Subject Areas: Highways; Motor Carriers; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning
Files: TRIS, TRB
Created Date: Feb 22 1993 12:00AM
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