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<doi>/ISEC.res.2017.15</doi>
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<article-title>OPTIMIZING MULTI-WALL PANEL<br/>
CONFIGURATION FOR PANELIZED<br/>
CONSTRUCTION USING BIM</article-title>
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<author>HEXU LIU<sup>1</sup>, BENJAMIN HOLMWOOD<sup>2</sup>, CHRISTOPH SYDORA<sup>2</sup>, GURJEET SINGH<sup>1</sup>,<br/>
and MOHAMED AL-HUSSEIN<sup>1</sup></author>

<aff><sup>1</sup>
Dept of Civil and Environmental Engineering, University of Alberta, Canada<br/>
<sup>2</sup>
Dept of Computing Science, University of Alberta, Canada</aff>


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<title>ABSTRACT</title>
<p>With the rise of Building Information Modeling (BIM), off-site construction is gaining
momentum in the construction industry. This construction method can benefit the
industry through improved productivity and reduced waste. However, it also poses
new challenges to building designers and construction practitioners with respect to
building design and construction planning. For example, when designing building
products and BIM models, designers needs to consider manufacturing process
constraints in order to harness the benefits of manufacturing technology. This is in part
due to the fact that, in the offsite construction paradigm, building design must be
transformed from product-focused to manufacturing process-driven. At present,
considerable human involvement and off-site construction knowledge are required to
adapt building design (e.g., panelize building objects) for manufacturing processes
within BIM environments. In this regard, this research contributes a BIM-based
algorithm for panelizing building components. The proposed algorithm is capable of
determining the granularity of wall panels and optimizing the configuration of multi-
wall panels under engineering constraints, thereby improving productivity. The
proposed approach is implemented within an Autodesk Revit environment through
application programming interface. A case study of a residential building is used to
demonstrate the proposed approach.</p>
<p><italic>Keywords: </italic>Building panelization, Multi-wall panel optimization, Productivity
improvement, Construction manufacturing, Building information modeling.</p>
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