Conceptual Framework for a Data Model to Support Asset Management Decision-Making Process

被引:6
作者
Polenghi, Adalberto [1 ]
Roda, Irene [1 ]
Macchi, Marco [1 ]
Pozzetti, Alessandro [1 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy
来源
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: PRODUCTION MANAGEMENT FOR THE FACTORY OF THE FUTURE, PT I | 2019年
关键词
Data management; Information management; Asset Management; Decision framework; Manufacturing; E-MAINTENANCE; INDUSTRIAL; INTERNET;
D O I
10.1007/978-3-030-30000-5_36
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Information and data management is nowadays a central issue to support the Asset Management (AM) decision-making process. Manufacturing companies have to take different decisions along the asset lifecycle and at different organisational levels, and, to this end, they require proper information and data management. In the literature, besides the crucial role played by information and data, there is evidence of existing gaps, especially related to information management and integration, and transformation of data into useful information. Thus, a conceptual framework is proposed to guide the definition of a data model to fulfil the previously identified gap. Generally, the framework aims at contributing to the improvement of the integration of information along the AM decision-making process. Specifically, it is intended to be aligned with the AM theory and, in particular, its fundamentals defined in the scientific literature and the ISO 5500x body of standards. Overall, thanks to the improvement of the information management and integration along with the AM decision-making, the expectation is to be capable of achieving more value-oriented decisions for the asset lifecycle.
引用
收藏
页码:283 / 290
页数:8
相关论文
共 32 条
  • [1] [Anonymous], 2014, 166462014 BS EN
  • [2] [Anonymous], 550002014E ISO
  • [3] [Anonymous], 2014, SIEMENS BIG DATA SMA
  • [4] Brown R. E., 2005, IEEE Power & Energy Magazine, V3, P39, DOI 10.1109/MPAE.2005.1436499
  • [5] A big data analytical architecture for the Asset Management
    Campos, Jaime
    Sharma, Pankaj
    Gabiria, Unai Gorostegui
    Jantunen, Erkki
    Baglee, David
    [J]. 9TH CIRP INDUSTRIAL PRODUCT/SERVICE-SYSTEMS (IPSS) CONFERENCE: CIRCULAR PERSPECTIVES ON PRODUCT/SERVICE-SYSTEMS, 2017, 64 : 369 - 374
  • [6] Development in the application of ICT in condition monitoring and maintenance
    Campos, Jaime
    [J]. COMPUTERS IN INDUSTRY, 2009, 60 (01) : 1 - 20
  • [7] Clarifying Data Analytics Concepts for Industrial Engineering
    Cattaneo, Laura
    Fumagalli, Luca
    Macchi, Marco
    Negri, Elisa
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 820 - 825
  • [8] Colledani M., 2008, METHODS TOOLS EFFECT
  • [9] Factory Eco-Efficiency Modelling: Data Granularity and Performance Indicators
    Dave, Aanand
    Ball, Peter
    Salonitis, Konstantinos
    [J]. 14TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING, GCSM 2016, 2017, 8 : 479 - 486
  • [10] A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies
    Guillen, Antonio J.
    Crespo, Adolfo
    Fco. Gomez, Juan
    Dolores Sanz, Maria
    [J]. COMPUTERS IN INDUSTRY, 2016, 82 : 170 - 185