Abstract

A building's strategic asset management (SAM) capability has traditionally been limited by its site-based management. With the emergence of needs from clients about delivering a long-term portfolio-based building asset management plan that minimizes the asset risk and optimizes the value of their asset portfolios, SAM Units have emerged as a new business form to provide various SAM services to their clients. However, the quality of their current data model is still hindered by many issues, such as missing important attributes and the lack of customized information flow guidance. In addition, there is a gap in integrating their existing data collection with various data sources and Building Information Modeling (BIM) to enhance their data quality. By evaluating a SAM Unit's portfolio case study, this paper identifies the factors limiting the quality of SAM Units' data model and develops a guide to integrating various data sources better. We develop a BIM-integrated portfolio-based SAM information flow framework and a detailed hierarchical portfolio-based non-geometric data structure. The proposed framework and data structure will help SAM professionals, building asset owners, and other facilities management professionals embrace the benefits of managing the portfolio-based SAM data.

Highlights

  • By adopting digital tools like Building Information Modeling (BIM), practitioners can up-scale building information’s consistency, comput­ ability, and coordinate capability in the construction industry to the level [1]

  • In reality, these requirements are hardly confirmed and agreed upon for the following reasons: 1) There are no widely accepted guidelines or agreements over the necessary information and format for the BIM ap­ plications in the O&M phase [1,4]. 2) The involvement of the O&M professionals in the design and construction phases is limited due to the unrevealed value of integrated asset management information handover [5]. 3) most construction projects are unique in their own way, which makes the predictions about their asset information completeness level difficult and imprecise [6]

  • The strategic asset management (SAM) Unit model attribute structure was analyzed following three steps: 1) By reviewing the percentage of the data entries for each SAM attribute, attributes with less than 70% of data entries were filtered and colored with grey color; 2) All the existing data attributes inside the SAM Unit’s model template were reviewed, and only the cells of suggested useful attributes were filled with different colors

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Summary

Introduction

By adopting digital tools like Building Information Modeling (BIM), practitioners can up-scale building information’s consistency, comput­ ability, and coordinate capability in the construction industry to the level [1]. In the O&M (Operation and Maintenance) phase, to better utilize the previously developed information from the design and construction phases, professionals need to know what information is needed and how precisely it is needed to be built in BIM models. In reality, these requirements are hardly confirmed and agreed upon for the following reasons: 1) There are no widely accepted guidelines or agreements over the necessary information and format for the BIM ap­ plications in the O&M phase [1,4]. Studies over how and whether building asset information in the design and construction phases is used in O&M practices are limited [8]

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