MT - Using BIM as a PM Tool: 1.1- Background

The author of this Master Thesis has always been interested in the implementation of ICT in the Architecture, Engineering and Construction [AEC] Industry. During the last decade, the major shift in ICT for the AEC industry has been the proliferation of Building Information Modelling [BIM] in industrial and academic circles as the “new CAD paradigm” (Succar, 2009).

BIM is currently the most common denomination for a new way of approaching the design, construction and maintenance of Buildings. Different authors and commercial firms have chosen to name this new approach in different ways (Table 1.1) but they all refer to the same concept that will be referred always on this dissertation as BIM.

There is not a single definition of what BIM is. Some scholars define it as “a set of interacting policies, processes and technologies generating a methodology to manage the essential building design and project data in digital format throughout the building's life-cycle” (Succar, 2009: p. 357). Other scholars prefer to define it using papers by commercial BIM vendors. Aouad et al. (2006) used the following definition: “building information model (BIM) is a computer model database of building design information, which may also contain information about the building’s construction, management, operations and maintenance” (Graphisoft 2003, cited in Aouad et al., 2006: p. 5). Other software vendors have also stated their own definitions of BIM such as “create and operate on digital databases for collaboration, manage change [...] and capture and preserve information for reuse by additional industry-specific applications” (Autodesk, 2002 : p. 2). For the purpose of this dissertation the author would like to use his own definition of BIM that encompasses the most common accepted views on the topic.

Building Information Modelling [BIM] is the most commonly used term to describe a set of parametric CAD tools and processes for the creation and maintenance of an integrated collaborative database of multi-dimensional information regarding the design, construction and/or operations of a building, with the purpose of improving collaboration between stakeholders, reducing the time needed for documentation of the project and producing more predictable project outcomes.

Table 1.1 Widely used terms related to BIM
(after Succar, 2009 : p. 359)

Although it is sometimes understood that BIM is only the software platform and that all the inter-organizational integrated processes should receive other names (like Integrated Design, Integrated Project Delivery, etc), when referring to BIM in this dissertation, the reader should always understand that BIM refers to the previous definition of tools and processes and never to just the software tools that allow the geometrical modelling and the input of information. It is the understanding of the author, that this holistic definition embraces all the potential of BIM and offers a better understanding of all its scope.

Defining the term though, is not the purpose of this dissertation. As we will see in the following section, despite the potential benefits that we can infer from the previous definition, the implementation of BIM and the perception of its benefits is not equal everywhere (AIA, 2009; McGraw-Hill, 2008 and McGraw-Hill, 2010). This disparity between potential benefits and acceptance is the starting point for our problem definition.

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MT - Using BIM as a PM Tool: 1.- Introduction

The development of a construction project goes through several stages and requires a wide range of services (Clough et al., 2008). During any project, there will be reciprocal interdependencies between different stakeholders, such as financing bodies, authorities, architects, engineers, lawyers, contractors, suppliers and tradesmen (Ibid.). Another driver in the project-management domain causing an increase in reciprocal interdependencies is the rise in concurrent engineering [CE] (Williams 1999).

To this inherent complexity of stakeholders we must add that construction projects are becoming much more complex and difficult (Chan et al., 2004; Williams, 2002; Alshawi and Ingirige, 2003). The big size of projects is traditionally seen as the cause of project complexity (Williams 2002) although it is argued that it is not the size itself but aspects derived from the size of the project - like number of stakeholders or number of project management tools and methods – that contribute to project complexity (Bosch-Rekveldt et al. 2010).

On the other hand, studies show that while productivity in other industries has increased considerably in the last 40 years, the productivity of the construction industry has actually been steadily decreasing.

Fig. 1.1 – Construction and Non-Farm Labour Productivity Index (Teicholz, 2004)

To cope with the increasing complexity of projects, information and communication technology [ICT] has been developing at a very fast pace (Taxén and Lilliesköld, 2008). This uptake in ICT did not bring yet all the expected benefits to the Architecture, Engineering and Construction [AEC] Industry (Majer et al. 2010), such as an important increase in Labour Productivity. This could be because the human ability to cope with these complexities has not developed at the same rate as ICT (Taxén and Lilliesköld, 2008), or because the implementation of ICT alone is not enough and the industry needs a shift into a new way of working.

In any case, understanding what ICT can do to help industry professionals cope with the increased complexity of projects is key to reach successful project outcomes and could be the key to increase the overall productivity of the industry. Any changes in tools and also in processes that may help the Construction Industry shift its tendency towards higher productivity should be considered and studied in detail.


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