Construction Research Congress 2020
Multivariate Analysis on Time-Cost Trade-Off for Production and Installation in Industrialized Construction
Publication: Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
ABSTRACT
A common practice in many production processes of the industrialized and manufactured construction (IMC) is to generate estimates using unit costs. However, customized design, low quantity orders, and packaging prototypes could create unpredictable costs with these processes and jeopardize the profit margins. This research focuses on the IMC project development with the question of how the different payment options could affect the time-cost trade-off formula for the prediction on the cash flow efficiency and liquidity. The proposed system uses multivariate simulations on the information collected from previous jobs with the implementation of second order polynomial trend lines to help predicting future projects. There are many different factors (including transportation distance, inventory capacity, and lifts) that must be considered when utilizing the prefabrication bays for the IMC. These factors affect the time and cost differently under different payment terms. The proposed system implements the system dynamics model to develop a programmable algorithm on the estimated time. The research addresses the following findings: the level of complexity, location of manufacturing plant, and cash flow performance are related to each other. Using observations and refining the margin of error, the results show that this proposed system has the capability of predicting production time based on job specification, which is essential for cost estimating, scheduling, and resource allocation. The proposed system provides an innovative method for the evaluation of cash flow performance in IMC projects.
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REFERENCES
Chan, A. P., Ho, D. C., & Tam, C. M. (2001). Design and build project success factors: multivariate analysis. Journal of construction engineering and management, 127(2), 93-100.
El-Kholy, A. M. (2013). New aspects in time-cost tradeoff analysis. Journal of Management in Engineering, 31(4), 04014051.
Gwak, H. S., Son, S. H., Park, Y. J., & Lee, D. E. (2016). Exact Time–Cost Tradeoff Analysis in Concurrency-Based Scheduling. Journal of Construction Engineering and Management, 142(10), 04016054.
Hussain, S., FangWei, Z., & Ali, Z. (2019). Examining Influence of Construction Projects’ Quality Factors on Client Satisfaction Using Partial Least Squares Structural Equation Modeling. Journal of Construction Engineering and Management, 145(5), 05019006.
Kamali, M., & Hewage, K. (2016). Life cycle performance of modular buildings: A critical review. Renewable and sustainable energy reviews, 62, 1171-1183.
Mortaji, S. T. H., Noorossana, R., & Bagherpour, M. (2014). Project completion time and cost prediction using change point analysis. Journal of Management in Engineering, 31(5), 04014086.
Pero, M., Stöblein, M., & Cigolini, R. (2015). Linking product modularity to supply chain integration in the construction and shipbuilding industries. International Journal of Production Economics, 170, 602-615.
Shahtaheri, Y., Rausch, C., West, J., Haas, C., & Nahangi, M. (2017). Managing risk in modular construction using dimensional and geometric tolerance strategies. Automation in Construction, 83, 303-315.
Terry, S. B., & Lucko, G. (2012). Algorithm for time-cost tradeoff analysis in construction projects by aggregating activity-level singularity functions. In Proceedings of the 2012 Construction Research Congress (Vol. 226).
Trost, S. M., & Oberlender, G. D. (2003). Predicting accuracy of early cost estimates using factor analysis and multivariate regression. Journal of construction Engineering and Management, 129(2), 198-204.
Wong, J. M., Chan, A. P., & Chiang, Y. H. (2008). Modeling and forecasting construction labor demand: Multivariate analysis. Journal of construction engineering and management, 134(9), 664-672.
Yu, B., Gu, X., Ni, F., & Guo, R. (2015). Multi-objective optimization for asphalt pavement maintenance plans at project level: Integrating performance, cost and environment. Transportation Research Part D: Transport and Environment, 41, 64-74.
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Published In
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
Pages: 281 - 290
Editors: David Grau, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and Mounir El Asmar, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8288-9
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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