학술논문

Innovative Baseline Estimation Methodology for Key Performance Indicators in the Electro-Mobility Sector
Document Type
Conference
Source
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) Control, Decision and Information Technologies (CoDIT), 2019 6th International Conference on. :1367-1372 Apr, 2019
Subject
Bioengineering
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Urban areas
Estimation
Europe
Key performance indicator
Monitoring
Companies
Baseline analysis
KPIs
Electro-mobility
Electric Light Vehicles
Language
ISSN
2576-3555
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.