A BIM-Based Framework for Material Logistics Planning

Jack C. P. Cheng1 & Srinath Kumar2

1Assistant Professor, Dept. of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China, +852 2358-8186, [email protected]
2Research Assistant, Dept. of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China, +852 6739-4867, [email protected]

Abstract

Material logistics planning (MLP) is an important component of supply chain management that promotes tidy construction sites and efficient project delivery. It aims to ensure that the right materials and equipment are delivered to site at the right time so as to reduce the idle resources and space requirement on site. Therefore, MLP can support lean construction as it can reduce unnecessary transportation and material handling, which are regarded as waste. However, supply chain issues such as late or incorrect material delivery are still common on construction sites nowadays. This paper presents and demonstrates a framework based on building information modeling (BIM) for automated material logistics planning and management. Using the Revit Application Programming Interface, we developed a system framework that extracts geometric and material information from BIM models and integrates the information with schedule information for formulating a dynamic construction site layout model. Material delivery and storage information is made available to supply chain members for planning and monitoring purpose. Our framework also considers the interior space inside the buildings under construction, which is important for construction sites with limited available space. A case example is demonstrated to validate the framework and demonstrate its potential for construction management.

Keywords

Automation, building information modelling (BIM), lean construction, logistics, site layout planning.

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Reference

Cheng, J. C. P. & Kumar, S. 2015. A BIM-Based Framework for Material Logistics Planning, 23rd Annual Conference of the International Group for Lean Construction , 33-42. doi.org/

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