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Relevant bibliographies by topics / Building information modeling; facility management; decision-making

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Journal articles

Academic literature on the topic 'Building information modeling; facility management; decision-making'

Author: Grafiati

Published: 29 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Building information modeling; facility management; decision-making"

1

Marmo, Rossella, Maurizio Nicolella, Francesco Polverino, and Andrej Tibaut. "A Methodology for a Performance Information Model to Support Facility Management." Sustainability 11, no. 24 (2019): 7007. http://dx.doi.org/10.3390/su11247007.

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Current facility management practice relies on different systems which require new technologies to integrate and manage information more easily. Building information modeling offers a good opportunity to improve facility information management by providing a unified platform for various data sources rather than an intuitive information interface. Although current research trends reveal that there is a continuously growing interest in facility management aided by building information modeling, an integrated model is still hard to obtain. This paper aims at developing a novel methodology based o

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2

Liu, Xuan, and Hai Xie. "Research on the Anticipation and Development of Building Information Modeling." Applied Mechanics and Materials 584-586 (July 2014): 1881–84. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.1881.

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Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility. A BIM is a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle; defined as existing from earliest conception to demolition. Building Information Modeling (BIM) is a process involving the generation and management of digital representations of physical and functional characteristics of places. BIM are files (often but not always in proprietary formats and containing proprietary data) which can be exchanged o

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Golabchi, Alireza, Manu Akula, and Vineet Kamat. "Automated building information modeling for fault detection and diagnostics in commercial HVAC systems." Facilities 34, no. 3/4 (2016): 233–46. http://dx.doi.org/10.1108/f-06-2014-0050.

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Purpose Organizations involved in facility management (FM) can use building information modeling (BIM) as a knowledge repository to document evolving facility information and to support decisions made by the facility managers during the operational life of a facility. Despite ongoing advances in FM technologies, FM practices in most facilities are still labor intensive, time consuming and often rely on unreliable and outdated information. To address these shortcomings, the purpose of this study is to propose an automated approach that demonstrates the potential of using BIM to develop algorith

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4

Alhassan, Bassel, Jamal Younes Omran, and Fayez Ali Jrad. "Enhancing Public Buildings Maintenance Using Integration Between Knowledge Management and BIM." International Journal of Information Systems and Social Change 10, no. 3 (2019): 1–13. http://dx.doi.org/10.4018/ijissc.2019070101.

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Building maintenance is gaining increased attention in the various fields of scientific research, Building information modelling (BIM) is used in the maintenance management and has helped facility management to handle a large volume of maintenance information, including drawings, specifications, lists and reports. BIM proved its effectiveness as a repository for various types of data in buildings maintenance and a tool to support decision making in maintenance. stepping the best decision at the facility is not only based on quantitative data but also on the knowledge and experience acquired by

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5

Jung, Cha, and Jiang. "Developing a Building Fire Information Management System Based on 3D Object Visualization." Applied Sciences 10, no. 3 (2020): 772. http://dx.doi.org/10.3390/app10030772.

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In a building fire disaster, a variety of information on hazardous factors is crucial for emergency responders, facility managers, and rescue teams. Inadequate information management limits the accuracy and speed of fire rescue activities. Furthermore, a poor decision-making process, which is solely dependent on the experiences of emergency responders, negatively affects the fire response activities. Building information modeling (BIM) enables the sharing of locations of critical elements and key information necessary for effective decision-making on disaster prevention. However, it is non-tri

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6

Xie, Xiang, Qiuchen Lu, David Rodenas-Herraiz, Ajith Kumar Parlikad, and Jennifer Mary Schooling. "Visualised inspection system for monitoring environmental anomalies during daily operation and maintenance." Engineering, Construction and Architectural Management 27, no. 8 (2020): 1835–52. http://dx.doi.org/10.1108/ecam-11-2019-0640.

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PurposeVisual inspection and human judgement form the cornerstone of daily operations and maintenance (O&M) services activities carried out by facility managers nowadays. Recent advances in technologies such as building information modelling (BIM), distributed sensor networks, augmented reality (AR) technologies and digital twins present an immense opportunity to radically improve the way daily O&M is conducted. This paper aims to describe the development of an AR-supported automated environmental anomaly detection and fault isolation method to assist facility managers in addressing pr

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7

Gheisari, Masoud, and Javier Irizarry. "Investigating human and technological requirements for successful implementation of a BIM-based mobile augmented reality environment in facility management practices." Facilities 34, no. 1/2 (2016): 69–84. http://dx.doi.org/10.1108/f-04-2014-0040.

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Purpose – With the facility management industry increasingly adopting building information modeling (BIM) technologies, there is a need to investigate where this industry stands in its application. Moreover, studies on efficient and cost-effective solutions to integrate BIM and mobile augmented reality (MAR) present an environment where facility managers can experience an intuitive natural interaction with their mobile interfaces to efficiently access needed information. The industry’s view on this new approach of accessing information from BIM models should also be investigated, and its feedb

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8

Zhan, Jian, Xin Janet Ge, Shoudong Huang, Liang Zhao, Johnny Kwok Wai Wong, and Sean XiangJian He. "Improvement of the inspection-repair process with building information modelling and image classification." Facilities 37, no. 7/8 (2019): 395–414. http://dx.doi.org/10.1108/f-01-2018-0005.

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Purpose Automated technologies have been applied to facility management (FM) practices to address labour demands of, and time consumed by, inputting and processing manual data. Less attention has been focussed on automation of visual information, such as images, when improving timely maintenance decisions. This study aims to develop image classification algorithms to improve information flow in the inspection-repair process through building information modelling (BIM). Design/methodology/approach To improve and automate the inspection-repair process, image classification algorithms were used t

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Murnane, Richard, Alanna Simpson, and Brenden Jongman. "Understanding risk: what makes a risk assessment successful?" International Journal of Disaster Resilience in the Built Environment 7, no. 2 (2016): 186–200. http://dx.doi.org/10.1108/ijdrbe-06-2015-0033.

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Purpose Understanding risk is more than just modeling risk; it requires an understanding of the development and social processes that underlie and drive the generation of disaster risk. Here, in addition to a review of more technical factors, this paper aims to discuss a variety of institutional, social and political considerations that must be managed for the results of a risk assessment to influence actions that lead to reductions in natural hazard risk. Design/methodology/approach The technical approaches and the institutional, social and political considerations covered in this paper are b

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10

Deng, Min, Carol C. Menassa, and Vineet R. Kamat. "From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry." Journal of Information Technology in Construction 26 (February 3, 2021): 58–83. http://dx.doi.org/10.36680/j.itcon.2021.005.

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The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management,

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