Traditional supply practices usually generate waste such as lack of materials and/or accumulation of large inventories on construction job sites. Lean supply systems require the integration of suppliers in the production process as a means to minimize waste. Such integration allows better synchronization of supply and demand and pulling of materials to the job site. Supply chain visibility and real time information are a must in this environment. Manufacturing and retailing have widely used information technology (IT) solutions, such as enterprise resource planning systems, for managing their supply chains. In the construction industry, only a few large construction firms can afford to deploy sophisticated IT tools. The majority of firms are small to medium-sized companies that do not have the resources and/or the manpower to use and maintain proprietary supply chain management solutions. This research explored freely available Google cloud computing tools, focusing on the Google Fusion Table (GFT) as a cloud-based platform to enable real time information on the supply process and site demand. This paper describes the development and testing of the platform that was used by a mechanical contractor to implement a pull fabrication, delivery, and installation system for pipe spools. The results suggest that the proposed platform provides the basic functionalities for developing a costeffective tool for small and medium-sized construction firms to manage supply chain data and implement lean supply systems.
Lean Supply, Cloud Computing, Pull, Pipe Spools.
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Reference in APA 7th edition format:
Azambuja, M., Schnitzer, T., Sahin, M. & Lee, F.. (2013). Enabling Lean Supply with a Cloud Computing Platform - An Exploratory Case Study. In Formoso, C. T., & Tzortzopoulos, P. (Eds.), 21th Annual Conference of the International Group for Lean Construction (pp. 205–214).
Shortened reference for use in IGLC papers:
Azambuja, M., Schnitzer, T., Sahin, M. & Lee, F.. (2013). Enabling Lean Supply with a Cloud Computing Platform - An Exploratory Case Study. IGLC21.