Key performance indicators and their visualization in an electric vehicle charging company
Bulaeva, Valeriya (2019)
Diplomityö
2019
School of Engineering Science, Tuotantotalous
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019052417002
https://urn.fi/URN:NBN:fi-fe2019052417002
Tiivistelmä
In different industries companies implement KPIs in order to get an overview of a current situation, to maintain and improve the quality of service. Furthermore, KPIs are necessary for tracking and analyzing the most important processes in companies. The purpose of this study is to obtain and visualize a set of KPIs that will be used to monitor EV charging points reliability in the case company that provides EV charging services globally. Many KPIs development and ranking approaches that are applied in various industries can be found in literature. This thesis offers the 7- Step KPIs identification approach that was specifically developed for reliability assessment in the case company.
In the first part of the study the review of EV charging infrastructure, technologies and locations is presented in order to understand the industry in which the case company operates. Then the theories about performance measurement, KPIs and methods of their identification are discussed. In the second part of this thesis the process of KPIs identification approach based on data analysis in the case company is introduced. The failure rate calculation model, proposal for company’s reporting system improvement and created dashboard of visualized KPIs are presented at the end.
According to the results of the research, nine KPIs were identified for tracking reliability of EV charging points. KPIs were validated and then visualized in a form of a dashboard. However, it was not possible to visualize all the defined KPIs and it was concluded that software that is currently used the company is not the best for KPIs visualization. Recommendations related to failure rate calculation, visualization tool, and reporting system are presented in the end. Some of the proposed improvements are already taken in to consideration and will be implemented by the case company in the following months.
In the first part of the study the review of EV charging infrastructure, technologies and locations is presented in order to understand the industry in which the case company operates. Then the theories about performance measurement, KPIs and methods of their identification are discussed. In the second part of this thesis the process of KPIs identification approach based on data analysis in the case company is introduced. The failure rate calculation model, proposal for company’s reporting system improvement and created dashboard of visualized KPIs are presented at the end.
According to the results of the research, nine KPIs were identified for tracking reliability of EV charging points. KPIs were validated and then visualized in a form of a dashboard. However, it was not possible to visualize all the defined KPIs and it was concluded that software that is currently used the company is not the best for KPIs visualization. Recommendations related to failure rate calculation, visualization tool, and reporting system are presented in the end. Some of the proposed improvements are already taken in to consideration and will be implemented by the case company in the following months.