<abstract xmlns="http://www.w3.org/1999/xhtml"><p> As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambition of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possible, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.</p></abstract>

As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambition of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possible, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.

A Framework for Creating Value from Fleet Data at Ecosystem Level

Management Systems in Production Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"A Framework for Creating Value from Fleet Data at Ecosystem Level"}

As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to...

A Framework for Creating Value from Fleet Data at Ecosystem Level

Article Category: Special Issue Title: Maintenance Performance Measurement and Management Challenges: from Sensing to Decision Support

Online veröffentlicht: 01. Aug. 2017

Seitenbereich: 163 - 167

Eingereicht: 01. Okt. 2016

Akzeptiert: 01. Apr. 2017

DOI: https://doi.org/10.1515/mspe-2017-0024

Schlüsselwörter
fleet data, ecosystem, framework, value, data refining, asset management

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

A Framework for Creating Value from Fleet Data at Ecosystem Level

Article Category: Special Issue Title: Maintenance Performance Measurement and Management Challenges: from Sensing to Decision Support

Online veröffentlicht: 01. Aug. 2017

Seitenbereich: 163 - 167

Eingereicht: 01. Okt. 2016

Akzeptiert: 01. Apr. 2017

DOI: https://doi.org/10.1515/mspe-2017-0024

Schlüsselwörterfleet data, ecosystem, framework, value, data refining, asset management

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
fleet data, ecosystem, framework, value, data refining, asset management