Abstract
The objective of this research is to present a dynamic simulation model for in-situ production quantity estimate of precast concrete members. The cost estimation model was developed using the system dynamics methodology by considering the influence factors for in-situ production of precast concrete members. The model was then applied to a real warehouse project to compare the costs of the quantity reflecting the field condition for in-situ production with those of in-plant production under the different scenarios with the available production sites within the construction site. The results of simulation tests indicated that the cost reduction of up to 16.9% was achieved from in-plant production to in-situ production when 100% of the precast concrete members are in-situ produced. When considering the field conditions of the real warehouse project site, the cost reduction of 13.9% was achieved in the site where in-situ production of precast concrete members is applicable within a limited space due to the production and yard stock areas. The model helps save production costs of the precast concrete members for project owners because it can estimate the actual in-situ production quantity and costs by varying the in-situ production areas compared to the construction site areas.
Similar content being viewed by others
References
Wang C, Liu M, Hsiang SM, Leming ML (2011) Causes and penalties of variation: case study of a precast concrete slab production facility. J Constr Eng Manag 138(6):775–785. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000475
Sacks R, Eastman CM, Lee G (2001) Process model perspectives on management and engineering procedures in the precast/prestressed concrete industry. J Constr Eng Manag 130(2):206–215. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:2(206)
Badir YF, Kadir MA, Hashim AH (2002) Industrialized building systems construction in Malaysia. J Archit Eng 8(1):19–23. https://doi.org/10.1061/(ASCE)1076-0431(2002)8:1(19)
Chan WT, Hu H (2002) Constraint programming approach to precast production scheduling. J Constr Eng Manag 128(6):513–521. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:6(513)
Ma Z, Yang Z, Liu S, Wu S (2018) Optimized rescheduling of multiple production lines for flowshop production of reinforced precast concrete components. Autom Constr 95:86–97. https://doi.org/10.1016/j.autcon.2018.08.002
Yang Z, Ma Z, Wu S (2016) Optimized flowshop scheduling of multiple production lines for precast production. Autom Constr 72:321–329. https://doi.org/10.1016/j.autcon.2016.08.021
Kim MK, Cheng JC, Sohn H, Chang CC (2015) A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning. Autom Constr 49:225–238. https://doi.org/10.1016/j.autcon.2014.07.010
Wang Q, Kim MK, Cheng JC, Sohn H (2016) Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning. Autom Constr 68:170–182. https://doi.org/10.1016/j.autcon.2016.03.014
Polat G (2008) Factors affecting the use of precast concrete systems in the United States. J Const Eng Manag 134(3):169–178. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:3(169)
Yee AA (2001) Structural and economic benefits of precast/prestressed concrete construction. PCI J 46(4):34–42
Lim J, Son S, Kim JT, Kim S (2017) Experimental study of in situ production of precast concrete members, In: 7th International Conference on construction engineering and project management(ICCEPM), Korea Institute of Construction Engineering and Management, Chengdu, China
Hong WK, Lee G, Lee S, Kim S (2014) Algorithms for in situ production layout of composite precast concrete members. Autom Constr 41:50–59. https://doi.org/10.1016/j.autcon.2014.02.005
Lim C(2016) Construction planning model for in situ production and installation of composite precast concrete frame, Doctoral dissertation, Kyung Hee University
Oh OJ (2017) A model for production and erection integration management of large scale PC structures using system dynamics, Doctoral dissertation, Kyung Hee University
Lim J (2018) A risk management model for in situ production of precast concrete members focused on time and cost using system dynamics, Doctoral dissertation, Kyung Hee University
Lee D, Lim C, Kim S (2016) CO2 emission reduction effects of an innovative composite precast concrete structure applied to heavy loaded and long span buildings. Energy Build 126:36–43. https://doi.org/10.1016/j.enbuild.2016.05.022
Lim J, Kim S (2020) Evaluation of co2 emission reduction effect using in situ production of precast concrete components. J Asian Archit Build Eng 19(2):176–186. https://doi.org/10.1080/13467581.2020.1726763
Moon KJ (2001) A study on the sustainability of an urban system: by the application of a system dynamics model, Doctoral dissertation, Pusan National University
Choi J, Kim H, Kim I (2015) Open BIM-based quantity take-off system for schematic estimation of building frame in early design stage. J Comput Des and Eng 2(1):16–25. https://doi.org/10.1016/j.jcde.2014.11.002
Gransberg DD, Riemer C (2009) Impact of inaccurate engineer’s estimated quantities on unit price ontracts. J Constr Eng Manag 135(11):1138–1145. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000084
Hyari KH, Shatarat N, Khalafallah A (2017) Handling risks of quantity variations in unit-price contracts. J Constr Eng Manag 143(10):04017079. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001393
Yeh IC (1998) Quantity estimating of building with logarithm-neuron networks. J Constr Eng Manag 124(5):374–380. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:5(374)
Cheng TM, Feng CW, Hsu MY (2006) An integrated modeling mechanism for optimizing the simulation model of the construction operation. Autom Constr 15(3):327–340. https://doi.org/10.1016/j.autcon.2005.06.016
Cheng TM, Yan RZ (2009) Integrating messy genetic algorithms and simulation to optimize resource utilization. Comput-Aided Civil Infrastruct Eng 24(6):401–415. https://doi.org/10.1111/j.1467-8667.2008.00588.x
Cho GH, Kim JJ (1996) Integrated management of the production, transportation and installation of precast concrete panels. J Archit Inst Korea 12(3):185–193
Tan B, Huat DCK, Messner JI, Horman MJ (2004) Using simulation for pull-driven scheduling with buffer for precast concrete component fabrication and erection. In: 16th CIB World building congress, international council for research and innovation in building and construction
Cheng TM, Feng CW (2003) An effective simulation mechanism for construction operations. Autom Constr 12(3):227–244. https://doi.org/10.1016/S0926-5805(02)00086-9
Lee SH (2013) Dynamic scheduling model for column-beam system buildings by composite precast concrete members, Doctoral dissertation, Kyung Hee University
Lee S, Hong WK, Lim C, Kim S (2015) A dynamic erection simulation model of column-beam structures using composite precast concrete components. J Intell Rob Syst 79(3–4):537–547. https://doi.org/10.1007/s10846-014-0115-9
Forrester JW (1987) Lessons from system dynamics modeling. Syst Dyn Rev 3(2):136–149. https://doi.org/10.1002/sdr.4260030205
Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MOE) (No. NRF-2019R1A6A3A12032427). The writers thank three anonymous reviewers for their critical and helpful comments and suggestions that improved the quality of this paper.
Author information
Authors and Affiliations
Corresponding author
Appendix: Symbols
Appendix: Symbols
See Table 5.
Rights and permissions
About this article
Cite this article
Lim, J., Kim, S. & Kim, J.J. Dynamic Simulation Model for Estimating In-situ Production Quantity of PC Members. Int J Civ Eng 18, 935–950 (2020). https://doi.org/10.1007/s40999-020-00509-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40999-020-00509-4