Often the top management, in the phase of asset controls, finds itself overwhelmed by the availability of a huge amount of Key Performance Indicators (KPIs). Most managers are struggling to understand and identify the vital few management metrics and instead collect and report a vast amount of everything that is easy to measure. As a consequence they end up drowning in data while thirsting for information. This condition does not allow a good management of the systems. The research aim’s is to help the Asset Management System (AMS) of a railway infrastructure manager using Business Intelligence (BI) to have a KPIs management system in line with the principles of AM presented by the normative ISO 55000 - 55001 - 55002 and UIC (International Union of Railways) guideline, for the specific case of a railway infrastructure. This work starts from the study of these regulations, continues with the exploration, definition and use of KPIs. Subsequently KPIs of a generic infrastructure are identified and analyzed , especially for the specific case of a railway infrastructure manager. These KPIs are fitted in the internal elements of the AM frameworks (ISO-UIC) for systematization. Moreover an analysis of the KPIs now used in the company is made, compared with the KPIs that an infrastructure manager should have. Starting from here a Gap Analysis is made for the optimization of AMS.

Enabling Railway AM Optimization Using a Rationale KPIs Framework / Coccia, Rossana; Corsini, Alessandro; MIGLIARESE CAPUTI, Michele Vincenzo; Pavirani, Gianpiero; Fochesato, Donatella; Di Pasquale, Lorenzo; Coltellacci, Matteo; Biasi, Federico; Missimi, Giorgio. - (2022). (Intervento presentato al convegno Fostering Sustainable, Human-Centric and Resilient Manufacturing. Proceedings of the 5th European Conference on Industrial Engineering and Operations Management tenutosi a Roma).

Enabling Railway AM Optimization Using a Rationale KPIs Framework

Rossana Coccia
Primo
;
Alessandro Corsini;Michele Vincenzo Migliarese Caputi;GianPiero Pavirani;Matteo Coltellacci;
2022

Abstract

Often the top management, in the phase of asset controls, finds itself overwhelmed by the availability of a huge amount of Key Performance Indicators (KPIs). Most managers are struggling to understand and identify the vital few management metrics and instead collect and report a vast amount of everything that is easy to measure. As a consequence they end up drowning in data while thirsting for information. This condition does not allow a good management of the systems. The research aim’s is to help the Asset Management System (AMS) of a railway infrastructure manager using Business Intelligence (BI) to have a KPIs management system in line with the principles of AM presented by the normative ISO 55000 - 55001 - 55002 and UIC (International Union of Railways) guideline, for the specific case of a railway infrastructure. This work starts from the study of these regulations, continues with the exploration, definition and use of KPIs. Subsequently KPIs of a generic infrastructure are identified and analyzed , especially for the specific case of a railway infrastructure manager. These KPIs are fitted in the internal elements of the AM frameworks (ISO-UIC) for systematization. Moreover an analysis of the KPIs now used in the company is made, compared with the KPIs that an infrastructure manager should have. Starting from here a Gap Analysis is made for the optimization of AMS.
2022
Fostering Sustainable, Human-Centric and Resilient Manufacturing. Proceedings of the 5th European Conference on Industrial Engineering and Operations Management
artificial Intelligence; sensor; road tunnel; safety and maintenance
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Enabling Railway AM Optimization Using a Rationale KPIs Framework / Coccia, Rossana; Corsini, Alessandro; MIGLIARESE CAPUTI, Michele Vincenzo; Pavirani, Gianpiero; Fochesato, Donatella; Di Pasquale, Lorenzo; Coltellacci, Matteo; Biasi, Federico; Missimi, Giorgio. - (2022). (Intervento presentato al convegno Fostering Sustainable, Human-Centric and Resilient Manufacturing. Proceedings of the 5th European Conference on Industrial Engineering and Operations Management tenutosi a Roma).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1663574
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