Development of a Computational Tool for Measuring Organizational Competitiveness in the Photovoltaic Power Plants

Carmen B. Rosa, Graciele Rediske, Paula D. Rigo, João Francisco M. Wendt, Leandro Michels and Julio Cezar M. Siluk
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Carmen B. Rosa: Pós-Graduação em Engenharia Elétrica, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil
Graciele Rediske: Pós-Graduação em Engenharia de Produção, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil
Paula D. Rigo: Pós-Graduação em Engenharia de Produção, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil
João Francisco M. Wendt: Pós-Graduação em Engenharia de Produção, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil
Leandro Michels: Pós-Graduação em Engenharia Elétrica, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil
Julio Cezar M. Siluk: Pós-Graduação em Engenharia de Produção, Federal University of Santa Maria (UFSM), 97105-900 Santa Maria, Brazil

Energies, 2018, vol. 11, issue 4, 1-13

Abstract: Photovoltaic (PV) power generation is embedded in a globally competitive environment. This characteristic forces PV power plants to perform most processes relevant for their competitiveness with maximum efficiency. From managers’ point of view, the evaluation of solar energy performance from installed plants is justified to indicate their level of organizational competitiveness, which supports the decision-making process. This manuscript purposes a computational tool that graphically presents the level of competitiveness of PV power plants units based on performance indicators. This tool was developed by using the Key Performance Indicators (KPIs) concept, which represents a set of measures focusing on the most critical aspects for the success of the organizations. The KPIs encompass four Fundamental Viewpoints (FV): Strategic Alliances, Solar Energy Monitoring, Management and Strategic Processes, and Power Generation Innovations. These four FVs were deployed on 26 Critical Success Factors (CSFs) and 39 KPIs. Sequentially, the tool was applied in four solar generation plants, where three presented an organizational competitiveness global level “potentially competitive”. The proposed computational tool allows managers to assess the degree of organization competitiveness as well as aid in prospecting of future scenarios and decision-making.

Keywords: photovoltaic energy; organizational competitiveness; organizational performance indicators; energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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