Integrating Dependent Material Planning Cycle into Building Information Management: A Building Information Management-Based Material Management Automation Framework
The collaboration and integration between all building information management (BIM) processes and tasks are necessary to ensure that all project objectives can be delivered. The literature review has been used to explore the state of the art BIM technologies to manage construction materials as well as the challenges which have faced the construction process using traditional methods. Thus, this paper aims to articulate a framework to integrate traditional material planning methods such as ABC analysis theory (Pareto principle) to analyse and categorise the project materials, as well as using independent material planning methods such as Economic Order Quantity (EOQ) and Fixed Order Point (FOP) into the BIM 4D, and 5D capabilities in order to articulate a dependent material planning cycle into BIM, which relies on the constructability method. Moreover, we build a model to connect between the material planning outputs and the BIM 4D and 5D data to ensure that all project information will be accurately presented throughout integrated and complementary BIM reporting formats. Furthermore, this paper will present a method to integrate between the risk management output and the material management process to ensure that all critical materials are monitored and managed under the all project stages. The paper includes browsers which are proposed to be embedded in any 4D BIM platform in order to predict the EOQ as well as FOP and alarm the user during the construction stage. This enables the planner to check the status of the materials on the site as well as to get alarm when the new order will be requested. Therefore, this will lead to manage all the project information in a single context and avoid missing any information at early design stage. Subsequently, the planner will be capable of building a more reliable 4D schedule by allocating the categorised material with the required EOQ to check the optimum locations for inventory and the temporary construction facilitates.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316550Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 484
 "4D Simulation and Construction Planning | Autodesk University Workshop. (2017). Auworkshop.autodesk.com", http://auworkshop.autodesk.com/library/bim-curriculum-construction/4d-simulation-and-construction-planning, 2018. (Online). Available: http://auworkshop.autodesk.com/library/bim-curriculum-construction/4d-simulation-and-construction-planning. (Accessed: 21- Mar- 2017).
 Building Intuition, International Series in Operations Research & Management Science. 2008.
 H. Altay Guvenir and E. Erel, "Multicriteria inventory classification using a genetic algorithm", European Journal of Operational Research, vol. 105, no. 1, pp. 29-37, 1998.
 M. Schieg, "Risk management in construction project management, Journal of Business Economics and Management", pp. 7:2, 77-83, 2006.
 J. Miller, Implementing activity-based management in daily operations. New York: Wiley, 1996.
 Z. Ren, C. Anumba and J. Tah, "RFID-facilitated construction materials management (RFID-CMM) – A case study of water-supply project", Advanced Engineering Informatics, vol. 25, no. 2, pp. 198-207, 2011.
 N. Sanders, "Inventory Policy in a Fixed-Order Quantity System | Operations Management Defined | InformIT", Informit.com, 2018. (Online). Available: http://www.informit.com/articles/article.aspx?p=2167438&seqNum=8. (Accessed: 11- Feb- 2018).
 S. Shenoy, "Planning For Managing Risks On a Project -", Pmexamsmartnotes.com, 2018. (Online). Available: https://www.pmexamsmartnotes.com/plan-risk-management/. (Accessed: 11- Feb- 2018).
 P. Smith, "Project Cost Management with 5D BIM", Procedia - Social and Behavioral Sciences, vol. 226, pp. 193-200, 2016.
 "What Is A Fixed Order Point?: supplychain-mechanic.com", Supplychain-mechanic.com, 2018. (Online). Available: http://supplychain-mechanic.com/?p=116. (Accessed: 11- Feb- 2018).
 C. Tam and T. Tong, "GA-ANN model for optimizing the locations of tower crane and supply points for high-rise public housing construction", Construction Management and Economics, vol. 21, no. 3, pp. 257-266, 2003.
 The Public Risk Management Association, "A structured approach to Enterprise Risk Management (ERM) and the requirements of ISO 31000", AIRMIC, Alarm, IRM, 2010.
 Y. Wen, "Research on Cost Control of Construction Project Based on the Theory of Lean Construction and BIM: Case Study", The Open Construction and Building Technology Journal, vol. 8, no. 1, pp. 382-388, 2015.
 D. Young, C. Haas, P. Goodrum and C. Caldas, "Improving Construction Supply Network Visibility by Using Automated Materials Locating and Tracking Technology", Journal of Construction Engineering and Management, vol. 137, no. 11, pp. 976-984, 2011.
 Q. Yu, K. Li and H. Luo, "A BIM-based Dynamic Model for Site Material Supply", Procedia Engineering, vol. 164, pp. 526-533, 2016.
 G. Onwubolu and B. Dube, "Implementing an improved inventory control system in a small company: a case study", Production Planning & Control, vol. 17, no. 1, pp. 67-76, 2006.
 H. Said and K. El-Rayes, "Automated multi-objective construction logistics optimization system", Automation in Construction, vol. 43, pp. 110-122, 2014.
 A. Schlueter and F. Thesseling, "Building information model based energy/exergy performance assessment in early design stages", Automation in Construction, vol. 18, no. 2, pp. 153-163, 2009.
 WRAP, "Material Logistics Plan Good Practice Guidance", 2007.
 V. Methanivesana, "Improving Construction Logistics A case study of Residential Building Project", Stockholm, 2012.
 P. Saukkoriipi, "Waste in construction projects call for a new approach", 2007.
 S. Chenthoorun and M. Gnanasigamani, "A Study of Analysis And Performance Measurement Of Construction Logistics", International Journal of Science and Engineering Research (IJ0SER), 2017.
 D. Ristić, "A Tool For Risk Assessment", safety Engineering, 2018.
 N. Kasim, S. Liwan, R. Shamsuddin, R. Zainal and N. Kamaruddin, "Improving On-Site Materials Tracking for Inventory Management In Construction Projects", International Conference of Technology Management, Business and Entrepreneurship, 2012.
 J. Ali, R. Khan, N. Ahmad and I. Masqood, "Random Forests and Decision Trees", IJCSI International Journal of Computer Science Issues, 2012.