There is an increasing recognition that, to maximize the benefits of Building Information Modeling (BIM), it should be deployed in such a way that it remains useful beyond the design and construction phase of projects. This means that it should be utilized in the facilities management phase of a constructed facility. This paper focuses on the identification of benefits gained from the effective integration of BIM in Facilities Management. Drawing on literature from previous research, it argues for the adoption of strategic approaches towards holistic consideration of benefits. The paper also presents the findings of a preliminary case study based on exploratory interviews with key personnel on a major university building project, and review of project documents. Qualitative descriptions of benefits were obtained from these interviews and are summarized in the paper. The paper concludes with a discussion of the benefits of BIM/FM integration, with a view to a comprehensive determination of project gains within the lifecycle of a project. The paper offers some conclusions that are aimed at the holistic consideration of benefits through the project phases preceding handover and including those in the lifecycle stage for a more wholesome assessment of the effectiveness of BIM implementation in FM.
With increasing frequency in the use of BIM for facility handover, organizations have to address the quality of information. Previous studies have shown the substantial impact inadequate interoperability of information has on facility operations. Since 2009, the Pennsylvania State University (PSU) has implemented Building Information Modeling (BIM) on all new projects over $5 million and major facility renovations. The BIM criterion was developed by determining facility geometry and data level of detail required to perform typical operations tasks. The success of operations also depends on the completeness and accuracy of the information received. Therefore, PSU has developed a standard process to audit model information during the lifecycle of the facility project. This paper will discuss the procedure developed by PSU to plan the validity and reliability of the model geometry and information. This includes an overview of risk forecasting and analysis procedures created as a rule set for data review, as well as highlight quality grading scales used for model acceptance. Additionally, one case study will be reviewed, depicting the developed quality control standards for both a new construction project and a major renovation. The Pennsylvania State University has ten projects implementing BIM that will be delivered over the next two years and the quality of the information received is essential to the success of operations and maintenance of these facilities.
A study performed by the National Institute of Standards and Technology (NIST), USA in 2004 found that owners account for approximately $10.6 billion of the $15.8 billion total inadequate interoperability costs of U.S. capital facility projects in 2002. Because of these inefficiency costs, it becomes vital that information produced during the design and construction phases of a project be transferred into operations with maximum leverage to the end users. However, very few owners have defined these informational needs or developed an integration strategy into existing maintenance management systems. To increase operational efficiency, an organization must first develop an understanding of their operating systems, as well as identify how Building Information Modeling (BIM) will add value to their daily tasks.The Pennsylvania State University (PSU) has a unique opportunity to diversely implement BIM processes because not only does the University act as an owner, but also as designer and construction manager on the majority of projects. The struggle that PSU faces is one that is unique only to owners with a large, existing, multifaceted building inventory. This paper outlines the current initiative by the Office of Physical Plant (OPP), the asset manager at PSU, to develop an information exchange framework between BIM and FM applications to be used internally. As a result of this research, PSU has been able to define owner operational requirements for future projects and develop a flexible integration framework to support additional BIM tasks and information exchanges.
Numerous researchers have investigated various aspects of building information modeling (BIM), uncovering many important issues in its development and application. However, there has been inadequate investigation of the value to be gained from the integration of BIM in the facilities management (FM) phase of a building's lifecycle, despite its considerable potential. The purpose of this paper is to explore the value inherent in the deployment of BIM in FM. It identifies key FM operations that lend themselves to BIM, reviews the enabling technologies, and explores the potential value of BIM/FM integration to the building owner's organization. The associated challenges are also explored. Three case studies of university FM departments and their applications of BIM within FM practice are used to illustrate the key issues and highlight important considerations. Salient aspects of BIM/FM integration and the concomitant effects on productivity, performance, workforce engagement, business processes, economic efficiency, and organizational culture, are also discussed. The paper concludes that strategic BIM deployment in FM is critical to realizing the full potential of BIM use in a building's lifecycle. It is also considered vital in demonstrating the business value of BIM in facility operations and management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.