A Big Data Analytical Architecture for the Asset Management

Campos, Jaime; Sharma, Pankaj; Gabiria, Unai Gorostegui; Jantunen, Erkki; Baglee, David

doi:10.1016/j.procir.2017.03.019

Cited by 44 publications

(28 citation statements)

References 17 publications

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“…Asset management is an effort to regulate the asset usage and maintenance to reach the optimum level of the utility. The goal of asset management is to support the achievement and use of asset optimally [7]. Both opinions affirm the importance of asset management as an effort to get the optimal value of every asset owned.…”

Section: IVmentioning

confidence: 96%

The Implementation of Asset Management Concept in Education Institution

Sunandar¹,

Benty²

2017

Proceedings of the 2nd International Conference on Educational Management and Administration (CoEMA 2017)

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Asset management concept has been implemented in many institutions including educational institution. The implementation of that concept in Indonesia is done by integrating it with education facility management. Educational institution is a non-profit organization that implies to the differences of asset management in an educational institution. This study explains the implementation of asset management in schools as well as problems and threats of asset management implementation. The research was conducted by case analysis in three schools in Batu City. The results explain that asset management in school was done by the headmaster, and helped by the vice of headmaster, the affair of school facilities and the school staffs. The apparent problems are the late help from government and the lack of participation of the society. The process of school asset management occurred in provision, inventory, placement, maintenance, and report. The process causes the assets school value not optimal.

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Section: IVmentioning

confidence: 96%

The Implementation of Asset Management Concept in Education Institution

Sunandar¹,

Benty²

2017

Proceedings of the 2nd International Conference on Educational Management and Administration (CoEMA 2017)

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“…The AM development, featuring an integrated approach along the asset lifecycle, is inherently geared towards sharing information and data between different databases, systems, and organisational functions, finally asking for an asset-centred orientation that relies on an effective asset data management [4]. A lot of work has been done so far in this direction, not only in AM [5] but also in maintenance [6], considered its natural precursor.…”

Section: Literature Review On Information and Data Managementmentioning

confidence: 99%

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

Polenghi

Roda

Macchi

et al. 2019

IFIP Advances in Information and Communication Technology

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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.

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“…Furthermore, testing techniques can be introduced for testing of response time, user interface, user requirements, etc. Hadoop offers an excellent platform to test the big data applications [7] since it supports structured, semi-structured, and unstructured data formats in the distributed environment and moreover it's open-source software.…”

Section: Related Workmentioning

confidence: 99%

Testing Big Data Applications

Punn¹,

Agarwal²,

Syafrullah³

et al. 2019

EECSI

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Today big data has become the basis of discussion for the organizations. The big task associated with big data stream is coping with its various challenges and performing the appropriate testing for the optimal analysis of the data which may benefit the processing of various activities, especially from a business perspective. Big data term follows the massive volume of data, (might be in units of petabytes or exabytes) exceeding the processing and analytical capacity of the conventional systems and thereby raising the need for analyzing and testing the big data before applications can be put into use. Testing such huge data coming from the various number of sources like the internet, smartphones, audios, videos, media, etc. is a challenge itself. The most favourable solution to test big data follows the automated/programmed approach. This paper outlines the big data characteristics, and various challenges associated with it followed by the approach, strategy, and proposed framework for testing big data applications.

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A Big Data Analytical Architecture for the Asset Management

Cited by 44 publications

References 17 publications

The Implementation of Asset Management Concept in Education Institution

The Implementation of Asset Management Concept in Education Institution

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

Testing Big Data Applications

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