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System dynamics modeling for construction management research: critical review and future trends

    Mingqiang Liu Affiliation
    ; Yun Le Affiliation
    ; Yi Hu Affiliation
    ; Bo Xia Affiliation
    ; Martin Skitmore Affiliation
    ; Xianyi Gao Affiliation

Abstract

As a result of growing complexities in the construction industry, system dynamics modeling (SDM) has been increasingly used in construction management (CM) research to explore complicated causal relationships at the various levels of construction and management processes. Given the rapid growth of SDM applications over the past two decades, a systematic review is needed to ascertain the state of the art and further trends in the area. This paper provides the results of a systematic analysis of 103 papers from 41 selected peer-reviewed journals from 1997 to 2016. The contributions of the papers are first analyzed, structured and formulated in terms of the year of publication, software involved, the combined use with other methods, and research design. With the assistance of the a keyword co-occurrence network analysis, eight research topics involving different internal and external complexities are identified, including: (1) sustainability, (2) project planning and control, (3) performance and effectiveness, (4) strategic management, (5) site and resource management,  (6) risk analysis and management, (7) knowledge management, and (8) organization and stakeholder management. The analysis results reveal the pivotal role of SDM in streamlining different complicated casual relationships at the activity, project, and industry levels across the eight topics and its significant potential in uncovering the impact of complicated contextual conditions on project planning and control, effectiveness and performance, strategic management, and sustainability at the project and industry levels. Lastly, trends and recommendations for SDM applications are provided for future CM research. This paper provides a state of the art of SDM in CM applications and insights into opportunities and useful references for the future.


First published online 22 August 2019

Keyword : system dynamics modeling, construction management, review

How to Cite
Liu, M., Le, Y., Hu, Y., Xia, B., Skitmore, M., & Gao, X. (2019). System dynamics modeling for construction management research: critical review and future trends. Journal of Civil Engineering and Management, 25(8), 730-741. https://doi.org/10.3846/jcem.2019.10518
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Aug 22, 2019
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References

Alvanchi, A., Lee, S., & AbouRizk, S. (2011). Modeling framework and architecture of hybrid system dynamics and discrete event simulation for construction. Computer‐Aided Civil and Infrastructure Engineering, 26(2), 77-91. https://doi.org/10.1111/j.1467-8667.2010.00650.x

Alvanchi, A., Lee, S., & AbouRizk, S. M. (2012). Dynamics of workforce skill evolution in construction projects. Canadian Journal of Civil Engineering, 39(9), 1005-1017. https://doi.org/10.1139/l2012-087

Bajracharya, A., Ogunlana, S. O., & Bach, N. L. (2000). Effective organizational infrastructure for training activities: a case study of the Nepalese construction sector. System Dynamics Review, 16(2), 91-112. https://doi.org/10.1002/10991727(200022)16:2<91::AID-SDR190>3.0.CO;2-D

Chapman, R. J. (1998). The role of system dynamics in understanding the impact of changes to key project personnel on design production within construction projects. International Journal of Project Management, 16(4), 235-247. https://doi.org/10.1016/s0263-7863(97)00043-4

Chasey, A. D., Garza, J. M. d. l., & Drew, D. R. (1997). Comprehensive level of service: needed approach for civil infrastructure systems. Journal of Infrastructure Systems, 3(4), 143-153. https://doi.org/10.1061/(asce)1076-0342(1997)3:4(143)

Chau, K. W. (1997). The ranking of construction management journals. Construction Management and Economics, 15(4), 387-398. https://doi.org/10.1080/014461997372953

Chen, L., & Fong, P. S. (2013). Visualizing evolution of knowledge management capability in construction firms. Journal of Construction Engineering and Management, 139(7), 839-851. https://doi.org/10.1061/(asce)co.1943-7862.0000649

Cui, Q., Hastak, M., & Halpin, D. (2010). Systems analysis of project cash flow management strategies. Construction Management and Economics, 28(4), 361-376. https://doi.org/10.1080/01446191003702484

Ding, Z., Yi, G., Tam, V. W., & Huang, T. (2016). A system dynamics-based environmental performance simulation of construction waste reduction management in China. Waste Management, 51, 130-141. https://doi.org/10.1016/j.wasman.2016.03.001

Ford, A. (2001). Waiting for the boom: a simulation study of power plant construction in California. Energy Policy, 29(11), 847-869. https://doi.org/10.1016/s0140-6701(02)86332-9

Guo, B. H., Yiu, T. W., & González, V. A. (2015). Identifying behaviour patterns of construction safety using system archetypes. Accident Analysis Prevention, 80, 125-141. https://doi.org/10.1016/j.aap.2015.04.008

Guo, X., & Guo, X. (2016). Nuclear power development in China after the restart of new nuclear construction and approval: A system dynamics analysis. Renewable and Sustainable Energy Reviews, 57, 999-1007. https://doi.org/10.1016/j.rser.2015.12.190

Han, S., Lee, S., & Pena-Mora, F. (2012). Identification and quantification of non-value-adding effort from errors and changes in design and construction projects. Journal of Construction Engineering and Management, 138(1), 98-109. https://doi.org/10.1061/(asce)co.1943-7862.0000406

Han, S., Saba, F., Lee, S., Mohamed, Y., & Peña-Mora, F. (2014). Toward an understanding of the impact of production pressure on safety performance in construction operations. Accident Analysis and Prevention, 68(1), 106. https://doi.org/10.1016/j.aap.2013.10.007

Hosseini, M. R., Martek, I., Zavadskas, E. K., Aibinu, A. A., Arashpour, M., & Chileshe, N. (2018). Critical evaluation of off-site construction research: A Scientometric analysis. Automation in Construction, 87, 235-247. https://doi.org/10.1016/j.autcon.2017.12.002

Hsueh, S. L., & Yan, M. R. (2013). A multimethodology contractor assessment model for facilitating green innovation: the view of energy and environmental protection. The Scientific World Journal. https://doi.org/10.1155/2013/624340

Hu, J., Zhang, L., Ma, L., & Liang, W. (2010). An integrated method for safety pre-warning of complex system. Safety Science, 48(5), 580-597. https://doi.org/10.1016/j.ssci.2010.01.007

Hu, X., Xia, B., Skitmore, M., & Chen, Q. (2016). The application of case-based reasoning in construction management research: An overview. Automation in Construction, 72, 65-74. https://doi.org/10.1016/j.autcon.2016.08.023

Hu, Y., Chan, A. P. C., Le, Y., & Jin, R. Z. (2015). From construction megaproject management to complex project management: bibliographic analysis. Journal of Management in Engineering, 31(4), 04014052. https://doi.org/10.1061/(asce)me.1943-5479.0000254

Hwang, S., Park, M., Lee, H. S., & Lee, S. (2016). Hybrid simulation framework for immediate facility restoration planning after a catastrophic disaster. Journal of Construction Engineering and Management, 142(8), 04016026. https://doi.org/10.1061/(asce)co.1943-7862.0001146

Huang, F., & Wang, F. (2005). A system for early-warning and forecasting of real estate development. Automation in Construction, 14(3), 333-342. https://doi.org/10.1016/j.autcon.2004.08.015

Ke, Y., Wang, S., Chan, A. P., & Cheung, E. (2009). Research trend of public-private partnership in construction journals. Journal of Construction Engineering and Management, 135(10), 1076-1086. https://doi.org/10.1061/(asce)0733-9364(2009)135:10(1076)

Ko, C. H., & Chung, N. F. (2014). Lean design process. Journal of Construction Engineering and Management, 140(6), 04014011. https://doi.org/10.1061/(asce)co.1943-7862.0000824

Lê, M. A. T., & Law, K. H. (2009). System dynamic approach for simulation of experience transfer in the AEC industry. Journal of Management in Engineering, 25(4), 195-203. https://doi.org/10.1061/(asce)0742-597x(2009)25:4(195)

Lee, S., Han, S., & Peña-Mora, F. (2009). Integrating construction operation and context in large-scale construction using hybrid computer simulation. Journal of Computing in Civil Engineering, 23(2), 75-83. https://doi.org/10.1061/(asce)0887-3801(2009)23:2(75)

Lee, S., Peña-Mora, F., & Park, M. (2005). Quality and change management model for large scale concurrent design and construction projects. Journal of Construction Engineering and Management, 131(8), 890-902. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:8(890)

Lee, S. H., Pena-Mora, F., & Park, M. (2006). Dynamic planning and control methodology for strategic and operational construction project management. Automation in Construction, 15(1), 84-97. https://doi.org/10.1016/j.autcon.2005.02.008

Levitt, R. E. (2007). CEM research for the next 50 years: Maximizing economic, environmental, and societal value of the built environment. Journal of Construction Engineering and Management, 133(9), 619-628. https://doi.org/10.1061/(asce)0733-9364(2007)133:9(619)

Li, Y., & Taylor, T. R. (2014). Modeling the impact of design rework on transportation infrastructure construction project performance. Journal of Construction Engineering and Management, 140(9), 04014044. https://doi.org/10.1061/(asce)co.1943-7862.0000878

Li, Z., Shen, G. Q., & Alshawi, M. (2014). Measuring the impact of prefabrication on construction waste reduction: an empirical study in China. Resources, Conservation and Recycling, 91, 27-39. https://doi.org/10.1016/j.resconrec.2014.07.013

Lo, W., Lin, C., & Yan, M. (2007). Contractor’s opportunistic bidding behavior and equilibrium price level in the construction market. Journal of Construction Engineering and Management, 133(6), 409-416. https://doi.org/10.1061/(asce)0733-9364(2007)133:6(409)

Love, P. E., Edwards, D. J., & Irani, Z. (2008). Forensic project management: An exploratory examination of the causal behavior of design-induced rework. IEEE Transactions on Engineering Management, 55(2), 234-247. https://doi.org/10.1109/tem.2008.919677

Love, P. E., Edwards, D. J., & Smith, J. (2016). Rework causation: Emergent theoretical insights and implications for research. Journal of Construction Engineering and Management, 142(6), 04016010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001114

Love, P. E., Mandal, P., & Li, H. (1999). Determining the causal structure of rework influences in construction. Construction Management and Economics, 17(4), 505-517. https://doi.org/10.1080/014461999371420

Love, P. E., Mandal, P., Smith, J., & Li, H. (2000). Modelling the dynamics of design error induced rework in construction. Construction Management and Economics, 18(5), 567-574. https://doi.org/10.1080/014461900407374

Love, P. E. D., Holt, G. D., Shen, L. Y., Li, H., & Irani, Z. (2002). Using systems dynamics to better understand change and rework in construction project management systems. International Journal of Project Management, 20(6), 425-436. https://doi.org/10.1016/s0263-7863(01)00039-4

Luo, L., He, Q., Jaselskis, E. J., & Xie, J. (2017). Construction project complexity: Research trends andimplications. Journal of Construction Engineering and Management, 143(7), 04017019. https://doi.org/10.1061/9780784481271.028

Lyneis, J. M., & Ford, D. N. (2007). System dynamics applied to project management: a survey, assessment, and directions for future research. System Dynamics Review, 23(2-3), 157-189. https://doi.org/10.1002/sdr.377

Moonseo, P., & Peña-Mora, F. (2003). Dynamic change management for construction: introducing the change cycle into model-based project management. System Dynamics Review, 19(3), 213-242. https://doi.org/10.1002/sdr.273

Moradi, S., Nasirzadeh, F., & Golkhoo, F. (2015). A hybrid SD–DES simulation approach to model construction projects. Construction Innovation, 15(1), 66-83. https://doi.org/10.1108/CI-10-2013-0045

Motawa, I., Anumba, C., Lee, S., & Peña-Mora, F. (2007). An integrated system for change management in construction. Automation in Construction, 16(3), 368-377. https://doi.org/10.1016/j.autcon.2006.07.005

Nasirzadeh, F., Afshar, A., & Khanzadi, M. (2008a). Dynamic risk analysis in construction projects. Canadian Journal of Civil Engineering, 35(8), 820-831. https://doi.org/10.1139/L08-035

Nasirzadeh, F., Afshar, A., Khanzadi, M., & Howick, S. (2008b). Integrating system dynamics and fuzzy logic modelling for construction risk management. Construction Management and Economics, 26(11), 1197-1212. https://doi.org/10.1080/01446190802459924

Nasirzadeh, F., Khanzadi, M., Afshar, A., & Howick, S. (2013). Modeling quality management in construction projects. International Journal of Civil Engineering, 11(1), 14-22.

Nasirzadeh, F., Khanzadi, M., & Rezaie, M. (2014). Dynamic modeling of the quantitative risk allocation in construction projects. International Journal of Project Management, 32(3), 442-451. https://doi.org/10.1016/j.ijproman.2013.06.002

Nasirzadeh, F., & Nojedehi, P. (2013). Dynamic modeling of labor productivity in construction projects. International Journal of Project Management, 31(6), 903-911. https://doi.org/10.1016/j.ijproman.2012.11.003

Ogunlana, S. O., Li, H., & Sukhera, F. A. (2003). System dynamics approach to exploring performance enhancement in a construction organization. Journal of Construction Engineering and Management, 129(5), 528-536. https://doi.org/10.1061/(asce)0733-9364(2003)129:5(528)

Onat, N. C., Egilmez, G., & Tatari, O. (2014). Towards greening the US residential building stock: a system dynamics approach. Building and Environment, 78, 68-80. https://doi.org/10.1016/j.buildenv.2014.03.030

Ozcan-Deniz, G., & Zhu, Y. (2016). A system dynamics model for construction method selection with sustainability considerations. Journal of Cleaner Production, 121, 33-44. https://doi.org/10.1016/j.jclepro.2016.01.089

Park, M. (2005). Model-based dynamic resource management for construction projects. Automation in Construction, 14(5), 585-598. https://doi.org/10.1016/j.autcon.2004.11.001

Park, M., Ahn, C., Lee, H., & Yoon, Y. (2012). System dynamics-based strategies to diffuse construction VE in the public sector. KSCE Journal of Civil Engineering, 16(4), 486-498. https://doi.org/10.1007/s12205-012-1226-0

Park, M., Ji, S.-H., Lee, H.-S., & Kim, W. (2009). Strategies for design-build in Korea using system dynamics modeling. Journal of Construction Engineering and Management, 135(11), 1125-1137. https://doi.org/10.1061/(asce)co.1943-7862.0000095

Parvan, K., Rahmandad, H., & Haghani, A. (2015). Inter-phase feedbacks in construction projects. Journal of Operations Management, 39, 48-62. https://doi.org/10.1016/j.jom.2015.07.005

Peña-Mora, F., Han, S., Lee, S., & Park, M. (2008). Strategicoperational construction management: Hybrid system dynamics and discrete event approach. Journal of Construction Engineering and Management, 134(9), 701-710. https://doi.org/10.1061/(asce)0733-9364(2008)134:9(701)

Pena-Mora, F., & Li, M. (2001). Dynamic planning and control methodology for design/build fast-track construction projects. Journal of Construction Engineering and Management, 127(1), 1-17. https://doi.org/10.1061/(asce)0733-9364(2001)127:1(1)

Pena-Mora, F., & Park, M. (2001). Dynamic planning for fasttracking building construction projects. Journal of Construction Engineering and Management, 127(6), 445-457. https://doi.org/10.1061/(asce)0733-9364(2001)127:6(445)

Perng, Y. H., Hsia, Y. P., & Lu, H. J. (2007). A service quality improvement dynamic decision support system for refurbishment contractors. Total Quality Management Business Excellence, 18(7), 731-749. https://doi.org/10.1080/14783360701349716

Prasertrungruang, T., & Hadikusumo, B. H. (2009). Modeling the dynamics of heavy equipment management practices and downtime in large highway contractors. Journal of Construction Engineering and Management, 135(10), 939-947. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000076

Richardson, G. P. (1986). Problems with causal‐loop diagrams. System Dynamics Review, 2(2), 158-170. https://doi.org/10.1002/sdr.4260020207

Rodrigues, A., & Bowers, J. (1996). The role of system dynamics in project management. International Journal of Project Management, 14(4), 213-220. https://doi.org/10.1016/0263-7863(95)00075-5

Rodrigues, A. G., & Williams, T. M. (1998). System dynamics in project management: Assessing the impacts of client behaviour on project performance. Journal of the Operational Research Society, 49(1), 2-15. https://doi.org/10.1038/sj.jors.2600490

Senge, P. M. (1991). The fifth discipline, the art and practice of the learning organization. Performance Instruction, 30(5), 37. https://doi.org/10.1037//1061-4087.45.4.31

Sheng, Z., & Lin, H. (2018). From systematicness to complexity: Fundamental thinking of mega-project management. Frontiers of Engineering Management, 5(1), 125-127. https://doi.org/10.15302/J-FEM-2018001

Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B, 2(2), 83-105. https://doi.org/10.1080/21680566.2014.916236

Shin, M., Lee, H. S., Park, M., Moon, M., & Han, S. (2014). A system dynamics approach for modeling construction workers’ safety attitudes and behaviors. Accident Analysis Prevention, 68, 95-105. https://doi.org/10.1016/j.aap.2013.09.019

Sim, J. & Sim, J. (2016). The effect of new carbon emission reduction targets on an apartment building in South Korea. Energy and Buildings, 127, 637-647. https://doi.org/10.1016/j.enbuild.2016.06.032

Sing, M. C., Love, P., Edwards, D., & Liu, J. (2016). Dynamic modeling of workforce planning for infrastructure projects. Journal of Management in Engineering, 32(6), 04016019. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000463

Sterman, J. D. (1992). System dynamics modeling for project management. Cambridge: Massachusetts Institute of Technology.

Sterman, J. D. (2001). System dynamics modeling: tools for learning in a complex world. California Management Review, 43(4), 8-25. https://doi.org/10.2307/41166098

Sterman, J. D. (2000). Business dynamics: systems thinking and modeling for a complex world. Boston: Irwin/McGraw-Hill.

Tam, V. W., Li, J., & Cai, H. (2014). System dynamic modeling on construction waste management in Shenzhen, China. Waste Management Research, 32(5), 441-453. https://doi.org/10.1177/0734242x14527636

Tang, Y. H., & Ogunlana, S. O. (2003a). Modelling the dynamic performance of a construction organization. Construction Management and Economics, 21(2), 127-136. https://doi.org/10.1080/0144619032000079699

Tang, Y. H., & Ogunlana, S. O. (2003b). Selecting superior performance improvement policies. Construction Management and Economics, 21(3), 247-256. https://doi.org/10.1080/0144619032000093765

Tatari, O., Castro-Lacouture, D., & Skibniewski, M. J. (2008). Performance evaluation of construction enterprise resource planning systems. Journal of Management in Engineering, 24(4), 198-206. https://doi.org/10.1061/(ASCE)0742-597X(2008)24:4(198)

Terouhid, S. A., & Ries, R. (2016). People capability: A strategic capability for enhancing organizational excellence of construction firms. Journal of Modelling in Management, 11(3), 811-841. https://doi.org/10.1108/JM2-04-2014-0028

Thomas, A., Menassa, C. C., & Kamat, V. R. (2016). System dynamics framework to study the effect of material performance on a building’s lifecycle energy requirements. Journal of Computing in Civil Engineering, 30(6), 04016034. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000601

Wang, F., Ding, L., Love, P. E., & Edwards, D. J. (2016). Modeling tunnel construction risk dynamics: Addressing the production versus protection problem. Safety Science, 87, 101-115. https://doi.org/10.1016/j.ssci.2016.01.014

Wang, J., Li, Z., & Tam, V. W. (2015). Identifying best design strategies for construction waste minimization. Journal of Cleaner Production, 92, 237-247. https://doi.org/10.1016/j.jclepro.2014.12.076

Wu, Y., Zhang, X., & Shen, L. (2011). The impact of urbanization policy on land use change: A scenario analysis. Cities, 28(2), 147-159. https://doi.org/10.1016/j.cities.2010.11.002

Wu, G., Duan, K., Zuo, J., Yang, J., & Wen, S. (2016). System dynamics model and simulation of employee work-family conflict in the construction industry. International Journal of Environmental Research and Public Health, 13(11), 1059. https://doi.org/10.3390/ijerph13111059

Xiong, B., Skitmore, M., & Xia, B. (2015). A critical review of structural equation modeling applications in construction research. Automation in Construction, 49, 59-70. https://doi.org/10.1016/j.autcon.2014.09.006

Yan, M. R. (2015). Project-based market competition and policy implications for sustainable developments in building and construction sectors. Sustainability, 7(11), 15423-15448. https://doi.org/10.3390/su71115423

Yang, M. G., Love, P. E. D., Brown, H., & Spickett, J. (2012). Organizational accidents: A systemic model of production versus protection. Journal of Management Studies, 49(1), 52–76. https://doi.org/10.1111/j.1467-6486.2010.00959.x

Yuan, H. P., Shen, L. Y., Hao, J. J., & Lu, W. S. (2011). A model for cost-benefit analysis of construction and demolition waste management throughout the waste chain. Resources, Conservation and Recycling, 55(6), 604-612. https://doi.org/10.1016/j.resconrec.2010.06.004

Yuan, H., & Wang, J. (2014). A system dynamics model for determining the waste disposal charging fee in construction. European Journal of Operational Research, 237(3), 988-996. https://doi.org/10.1016/j.ejor.2014.02.034

Zhang, J., Schmidt, K., Xie, H., & Li, H. (2016a). A new mixed approach for modelling and assessing environmental influences to value co-creation in the construction industry. International Journal of Production Research, 54(21), 6548-6562. https://doi.org/10.1080/00207543.2016.1145818

Zhang, S., Chan, A. P. C., Feng, Y., Duan, H., & Ke, Y. (2016b). Critical review on PPP Research – A search from the Chinese and international journals. International Journal of Project Management, 34(4), 597-612. https://doi.org/10.1016/j.ijproman.2016.02.008

Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80, 37-47. https://doi.org/10.1016/j.autcon.2017.04.002

Zheng, X., Le, Y., Chan, A. P. C., Hu, Y., & Li, Y. (2016). Review of the application of social network analysis (SNA) in construction project management research. International Journal of Project Management, 34(7), 1214-1225. https://doi.org/10.1016/j.ijproman.2016.06.005