Data envelopment scenario analysis for setting targets to electricity generating plants |
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| Affiliation: | 1. Warwick Business School, Coventry CV4 7AL, UK;2. CIS-Middle Europe Center, London Business School, Sussex Place, Regent''s Park, London NW1 4SA, UK;3. Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003, USA;1. Department of Social and Human Science, University of Naples “L’Orientale”, L.go San Giovanni Maggiore 34, 80134 Naples, Italy;2. Lattanzio KIBS, Via Domenico Cimarosa, 4, 20144 Milano, Italy;3. Department of Economics, University of Messina, Piazza Pugliatti, 1, 98122 Messina, Italy;1. Department of Electrical Engineering, State Key Laboratory of Electricity Systems, Tsinghua University, China;2. Guangzhou Power Supply Co. Ltd., China;1. Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK;2. Nanomaterials Physicochemistry Department, Faculty of Chemical Technology and Engineering, West Pomeranian University of Technology, Szczecin, Piastów Ave. 42, 71-065 Szczecin, Poland;3. State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China;4. Department of Physics and Department of Materials Science and Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China;1. National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineer, Shenzhen University Health Sciences Center, Shenzhen 518060, PR China;2. Shenzhen Key Laboratory of Special Functional Materials & Shenzhen Engineering Laboratory for Advance Technology of ceramics, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, PR China;3. School of Materials Science and Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan 643000, PR China;4. Department of Environmental Engineering, Technical University of Denmark, Miljøvej 113, Kongens Lyngby DK-2800 , Denmark;1. Shenzhen Key Laboratory of Special Functional Materials & Shenzhen Engineering Laboratory for Advance Technology of Ceramics, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China;2. BCMaterials, Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain;3. IKERBASQUE, Basque Foundation for Science, Plaza Euskadi, 5, Bilbao 48009, Spain |
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| Abstract: | The development of viable and challenging performance measurement systems in multi-unit organisations receives increased attention in recent years. Performance is no longer viewed as a static phenomenon that reflects the past history of operating systems. There is increasing appreciation for the value of performance scenarios which can be used to guide management for the expected performance consequences of alternative policies. In this paper we demonstrate how data envelopment analysis can be used to develop policy making scenarios that would enable managers to identify the response of productive units such as power plants to different priorities regarding demand of services, costs and pollution emissions. |
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