scholarly journals Conversation-Based Information Delivery Method for Facility Management

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4771
Author(s):  
Kuan-Lin Chen ◽  
Meng-Han Tsai
Keyword(s):  
User Experience ◽  
Language Processing ◽  
Maintenance Phase ◽  
Facility Management ◽  
Information Delivery ◽  
Specific Information ◽  
Management Platform ◽  
Building Information ◽  
Complex Building ◽  
Feasibility Test

Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers’ efficiency and user experience in retrieving specific information on the facility management platform. Therefore, this research aims to develop a conversation-based method to improve the efficiency and user experience of facility management information delivery. The proposed method contains four major modules: decision mechanism, equipment dataset, intent analysis, and knowledge base. A chatbot prototype was developed based on the proposed method. The prototype was then validated through a feasibility test and field test at the Shulin Arts Comprehensive Administration Building in Taiwan. The results showed that the proposed method changes the traditional information delivery between users and the facility management platform. By integrating natural language processing (NLP), building information modelling (BIM), and ontological techniques, the proposed method can increase the efficiency of FM information retrieval.

scholarly journals Missed opportunities: two case studies of digitalization of FM in hospitals

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 381-394 ◽  
Author(s):  
Christian Koch ◽  
Geir Karsten Hansen ◽  
Kim Jacobsen
Keyword(s):  
Case Studies ◽  
State Of The Art ◽  
Empirical Studies ◽  
Facility Management ◽  
Missed Opportunities ◽  
Building Projects ◽  
Content Type ◽  
Organization And Management ◽  
Building Information ◽  
Complex Building

Purpose Digital practices of facility management (FM) are undergoing transformation. Several Nordic countries have ambitious hospital-building projects, driven by large public clients with long-term experience of operating complex building campuses. There is thus an opportunity for creating state-of-the-art digital FM. This paper aims to investigate the role of digital FM in new hospital projects in Scandinavia. Design/methodology/approach Based on a literature review, a framework of understanding of digital FM in hospital operation is established. Two longitudinal cases are presented and analysed, one for a greenfield hospital and the other for an extension of an existing hospital. Findings The literature highlights the importance of integration between technical digitalization, competences, organization and management of digital FM. The projects are in different phases and represent quite advanced preparations for digital FM. State-of-the-art computer-aided FM systems are prepared before operation. External consultants are involved, posing a dilemma of in-house/outsourced human resources in the future digital FM operation. Research limitations/implications Two case studies provide insights, but they have limited generalizability. Practical implications The study underscores the importance of preparation of management, organization and competences for digitalization. Originality/value Documented research on building information modelling (BIM) integrations in FM is still scarce. This article adds to the few empirical studies in the area. The findings illustrate that real estate administrators investing in FM software for new hospital buildings face challenges of aligning BIM models from design and construction to the FM system.

scholarly journals Natural Language Processing Model for Managing Maintenance Requests in Buildings

Buildings ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 160 ◽  
Author(s):  
Yassine Bouabdallaoui ◽  
Zoubeir Lafhaj ◽  
Pascal Yim ◽  
Laure Ducoulombier ◽  
Belkacem Bennadji
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Learning Algorithm ◽  
Healthcare Facility ◽  
Facility Management ◽  
Building Maintenance ◽  
Average Accuracy ◽  
Building Information ◽  
Human Management

In recent years, facility management (FM) has adopted many computer technology solutions for building maintenance, such as building information modelling (BIM) and computerized maintenance management systems (CMMS). However, maintenance requests management in buildings remains a manual and a time-consuming process that depends on human management. In this paper, a machine-learning algorithm based on natural language processing (NLP) is proposed to classify maintenance requests. This algorithm aims to assist the FM teams in managing day-to-day maintenance activities. A healthcare facility is addressed as a case study in this work. Ten-year maintenance records from the facility contributed to the design and development of the algorithm. Multiple NLP methods were used in this study, and the results reveal that the NLP model can classify work requests with an average accuracy of 78%. Furthermore, NLP methods have proven to be effective for managing unstructured text data.

scholarly journals Developing Mobile BIM/2D Barcode-Based Automated Facility Management System

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Yu-Chih Su ◽  
Yen-Pei Chen
Keyword(s):  
Computer Aided Design ◽  
Three Dimensional ◽  
Maintenance Phase ◽  
Facility Management ◽  
Information Modeling ◽  
Commercial Building ◽  
2D Barcode ◽  
Operation And Maintenance ◽  
Building Information ◽  
Aided Design

Facility management (FM) has become an important topic in research on the operation and maintenance phase. Managing the work of FM effectively is extremely difficult owing to the variety of environments. One of the difficulties is the performance of two-dimensional (2D) graphics when depicting facilities. Building information modeling (BIM) uses precise geometry and relevant data to support the facilities depicted in three-dimensional (3D) object-oriented computer-aided design (CAD). This paper proposes a new and practical methodology with application to FM that uses an integrated 2D barcode and the BIM approach. Using 2D barcode and BIM technologies, this study proposes a mobile automated BIM-based facility management (BIMFM) system for FM staff in the operation and maintenance phase. The mobile automated BIMFM system is then applied in a selected case study of a commercial building project in Taiwan to verify the proposed methodology and demonstrate its effectiveness in FM practice. The combined results demonstrate that a BIMFM-like system can be an effective mobile automated FM tool. The advantage of the mobile automated BIMFM system lies not only in improving FM work efficiency for the FM staff but also in facilitating FM updates and transfers in the BIM environment.

scholarly journals BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

2021 ◽  
Vol 11 (15) ◽  
pp. 6810
Author(s):  
Corentin Coupry ◽  
Sylvain Noblecourt ◽  
Paul Richard ◽  
David Baudry ◽  
David Bigaud
Keyword(s):  
Academic Research ◽  
Facility Management ◽  
Information Modeling ◽  
Application Framework ◽  
Remote Collaboration ◽  
Smart Buildings ◽  
Digital Twin ◽  
Industrial Sectors ◽  
M Phase ◽  
Building Information

In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

Ubiquitous location tracking for context-specific information delivery on construction sites

2008 ◽  
Vol 17 (6) ◽  
pp. 737-748 ◽  
Author(s):  
Amir H. Behzadan ◽  
Zeeshan Aziz ◽  
Chimay J. Anumba ◽  
Vineet R. Kamat
Keyword(s):  
Information Delivery ◽  
Specific Information ◽  
Location Tracking ◽  
Construction Sites ◽  
Context Specific

A scientometric analysis of BIM studies in facilities management

2019 ◽  
Vol 37 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Mustafa Hilal ◽  
Tayyab Maqsood ◽  
Amir Abdekhodaee
Keyword(s):  
Mapping Method ◽  
Facility Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Science Mapping ◽  
Content Type ◽  
Visual Maps ◽  
Building Information ◽  
Mapping Techniques

Purpose The purpose of this paper is to statistically classify and categorize Building Information Modelling (BIM)-Facility Management (FM) publications in order to extract useful information related to the adoption and use of BIM in FM. Design/methodology/approach This study employs a quantitative approach using science mapping techniques to examine BIM-FM publications using Web of Science (WOS) database for the period between 2000 and April 2018. Findings The findings guide the researchers who are interested in the BIM-FM model by providing visual maps analysis of that area in a simple, easy and readable way. In addition, they help the researchers to understand which authors and journals to consider when dealing with BIM-FM topics. Finally, knowledge gaps in this domain can be identified easily using the findings of the Scientometric analysis. Research limitations/implications First, the results of the analysis depend on the database that has been extracted from WOS, and therefore it carries any of WOS’s limitations in terms of how much it covers the published studies. Another limitation is that the study is based on exploration of “what” questions, rather than “how” and “why”. These limitations represent the hot topics to be addressed in future research. Originality/value This research is the first to conduct the Scientometric Analysis of BIM-FM topics, in which 68 top-ranked publications were systematically examined using a Science Mapping method through VOSviewer software.

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