Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models
| Autor: | Juan Francisco Gómez Fernández, Pablo Fernandez, Adolfo Crespo Márquez, Antonio Jesús Guillén López |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I, Universidad de Sevilla. CEI-19-TEP134: Metodología para aplicación industrial de soluciones de mantenimiento inteligente. Integración de técnicas de Analítica Predictiva y Machine Learning en plataformas IoT |
| Rok vydání: | 2020 |
| Předmět: |
Control and Optimization
Process (engineering) Computer science 020209 energy intelligent assets management systems industrial IoT predictive analytics asset data model Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences Asset (computer security) 01 natural sciences lcsh:Technology Data modeling 0202 electrical engineering electronic engineering information engineering Asset management Electrical and Electronic Engineering Engineering (miscellaneous) 0105 earth and related environmental sciences Renewable Energy Sustainability and the Environment business.industry lcsh:T Digital transformation Predictive analytics Data model Risk analysis (engineering) The Internet business Energy (miscellaneous) |
| Zdroj: | idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) Energies, Vol 13, Iss 3762, p 3762 (2020) idUS. Depósito de Investigación de la Universidad de Sevilla instname Energies; Volume 13; Issue 15; Pages: 3762 |
| Popis: | Maintenance Management is a key pillar in companies, especially energy utilities, which have high investments in assets, and so for its proper contribution has to be integrated and aligned with other departments in order to conserve the asset value and guarantee the services. In this line, Intelligent Assets Management Platforms (IAMP) are defined as software platforms to collect and analyze data from industrial assets. They are based on the use of digital technologies in industry. Beside the fact that monitoring and managing assets over the internet is gaining ground, this paper states that the IAMPs should also support a much better balanced and more strategic view in existing asset management and concretely in maintenance management. The real transformation can be achieved if these platforms help to understand business priorities in work and investments. In this paper, we first discuss about the factors explaining IAMP growth, then we explain the importance of considering, well in advance, those managerial aspects of the problem, for proper investments and suitable digital transformation through the adoption and use of IAMPs. A case study in the energy sector is presented to map, or to identify, those platform modules and Apps providing important value-added features to existing asset management practices. Later, attention is paid to the methodology used to develop the Apps’ data models from a maintenance point of view. To illustrate this point, a methodology for the development of the asset criticality analysis process data model is proposed. Finally, the paper includes conclusions of the work and relevant literature to this research |
| Databáze: | OpenAIRE |
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