The Key Performance Indicators (KPIs) are usually adopted to evaluate the progress of the stated objectives in a specific framework. In a context where no suitable data are available, the correct estimation of KPIs values is an open issue. Hence, a new methodology is needed to evaluate the baseline values of KPIs. This paper presents an innovative approach to estimate the baseline values for a set of KPIs, that can be already existing or defined for the first time, in absence of historical data. The proposed approach makes use of data retrieved by different suitable sources, such as surveys, questionnaires, etc., comparing them with existing data in similar contexts to estimate KPIs baseline values. A case study is presented and the proposed methodology is applied to estimate specific KPIs in the electro-mobility sector.

Innovative Baseline Estimation Methodology for Key Performance Indicators in the Electro-Mobility Sector / Silvestri, B; Rinaldi, A; Roccotelli, M; Fanti, Mp. - ELETTRONICO. - (2019), pp. 1367-1372. (Intervento presentato al convegno 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 tenutosi a Paris, France nel April 23-26, 2019) [10.1109/CoDIT.2019.8820408].

Innovative Baseline Estimation Methodology for Key Performance Indicators in the Electro-Mobility Sector

Silvestri, B;Rinaldi, A;Roccotelli, M;Fanti, MP
2019-01-01

Abstract

The Key Performance Indicators (KPIs) are usually adopted to evaluate the progress of the stated objectives in a specific framework. In a context where no suitable data are available, the correct estimation of KPIs values is an open issue. Hence, a new methodology is needed to evaluate the baseline values of KPIs. This paper presents an innovative approach to estimate the baseline values for a set of KPIs, that can be already existing or defined for the first time, in absence of historical data. The proposed approach makes use of data retrieved by different suitable sources, such as surveys, questionnaires, etc., comparing them with existing data in similar contexts to estimate KPIs baseline values. A case study is presented and the proposed methodology is applied to estimate specific KPIs in the electro-mobility sector.
2019
6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
978-1-7281-0521-5
Innovative Baseline Estimation Methodology for Key Performance Indicators in the Electro-Mobility Sector / Silvestri, B; Rinaldi, A; Roccotelli, M; Fanti, Mp. - ELETTRONICO. - (2019), pp. 1367-1372. (Intervento presentato al convegno 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 tenutosi a Paris, France nel April 23-26, 2019) [10.1109/CoDIT.2019.8820408].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/224106
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