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Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method
Affiliation:1. Decision Science Institute, School of Economics & Management, Fuzhou University, 2 Xueyuan road, Fuzhou 350116, China;2. College of Business, University of Southern Mississippi, Hattiesburg, MS 39560, United States;3. Research Center for Smarter Supply Chain, Soochow Think Tank & Dongwu Business School, Soochow University, Suzhou, Jiangsu, 215012, China;1. New Mexico Institute of Mining & Technology, Department of Management, 801 Leroy Place, Socorro, NM, 87801, USA;2. Tokyo Institute of Technology, Department of Value and Decision Science, Graduate School of Decision Science and Technology, W9-41, 2-12-1, Ookayama, Meguro-ku, Tokyo 152-8552, Japan
Abstract:
Benchmarking of electricity distribution utilities has been widely used as a means to contribute for the adoption or reinforcement of enhanced competitiveness and innovation practices to optimize costs, increase customer satisfaction, improve corporate image and maximize profits. The purpose of this paper is to present a benchmarking study for the maintenance and outage repair activity carried out by a Portuguese electricity distribution company, EDP Distribuição (EDP-D), using the value-based DEA method, which builds on links between data envelopment analysis (DEA) and multiple criteria decision analysis (MCDA). This study illustrates the impact of the incorporation of managerial preferences in the classification and ranking of 40 network areas served by EDP-D, confronting the results with a previous study based on a BCC DEA model. In order to deal with the underlying uncertainty, the value-based DEA method for performance evaluation is adapted to include the concept of super-efficiency. Besides identifying best practices, sources of inefficiency, gaps relatively to best practices and opportunities for improvement, this analysis supports the introduction of corrective measures and informs decisions about future goals.
Keywords:Data envelopment analysis  Multi-criteria analysis  Electricity distribution  Super efficiency
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