Abstract

Workspace, project duration, and workforce are three critical resources for construction projects. Project managers need to expend time and effort reviewing, comprehending, and coordinating these resources. However, the space–time–workforce interactions and their impact on decision-making in project scheduling are not fully known. Therefore, the objectives of this research were to understand the impact of workforce shifts on space, time, and labor cost performances, develop a three-dimensional (3D) visualization tool to reveal activity-level resource dynamics, and associate the risk aftermath with the occurrence probability to balance subjective risk tolerance and objective system reliability. This research developed a simulation model based on a case project to compare the workflow of five major specialty trades (i.e., bar placer, carpenter, scaffolder, pipefitter, and concreter) in 267 scenarios. A resource-oriented 3D visualization tool was developed to help project managers monitor project schedules. The research established a risk control framework using value-at-risk (VaR) and conditional value-at-risk (CVaR) approaches to associate extreme outcomes with their occurrence probability. Simulation results indicated that pipefitters significantly affected workspace overlap, whereas bar placers and carpenters predominantly impacted project duration. The scholarly contributions are (1) the creation of an intelligent system to generate a project schedule from workforce assignments specified by project managers, (2) development of a tool to visualize the three-way resource dynamics of workforce, time, and space on a 3D model for all possible scenarios, and (3) development of a framework for project managers to balance planning strategies between subjective risk tolerance and objective system reliability. This research provides project managers with a dynamic 3D visualization of space, time, and workforce utilization and interaction in uncertain environments, further facilitating reliable project scheduling decision-making.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or codes generated or used during the study are available from the corresponding author by request.

References

Abbasi, S., K. Taghizade, and E. Noorzai. 2020. “BIM-based combination of Takt time and discrete event simulation for implementing just in time in construction scheduling under constraints.” J. Constr. Eng. Manage. 146 (12): 04020143. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001940.
Abdul Nabi, M., and I. H. El-adaway. 2021. “Risk-based approach to predict the cost performance of modularization in construction projects.” J. Constr. Eng. Manage. 147 (10): 04021133. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002159.
Abotaleb, I. S., and I. H. El-adaway. 2018. “Managing construction projects through dynamic modeling: Reviewing the existing body of knowledge and deriving future research directions.” J. Manage. Eng. 34 (6): 04018033. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000633.
Altiok, T., and B. Melamed. 2007. Simulation modeling and analysis with arena. Burlington, MA: Elsevier.
Ballard, H. G. 2000. The last planner system of production control. Birmingham, UK: Univ. of Birmingham.
Bea, R. 2006. “Reliability and human factors in geotechnical engineering.” J. Geotech. Geoenviron. Eng. 132 (5): 631–643. https://doi.org/10.1061/(ASCE)1090-0241(2006)132:5(631).
Bølviken, T., S. Aslesen, and L. Koskela. 2015. “What is a good plan?” In Proc., 23th Annual Conf. of the Int’l. Group for Lean Constr. (IGLC 23), 93–102. Berkeley, CA: International Group for Lean Construction.
Choudhry, M. 2013. An introduction to value-at-risk. Chichester, UK: Wiley.
Eray, E., C. T. Haas, and D. Rayside. 2021. “Interface health and workload between stakeholders in complex capital projects: Assessment, visualization, and interpretation using SNA.” J. Manage. Eng. 37 (3): 04021006. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000891.
Frandson, A., K. Berghede, and I. D. Tommelein. 2013. “Takt time planning for construction of exterior cladding.” In Proc., 21th Annual Conf. of the Int’l. Group for Lean Construction (IGLC 21), 527–536. Fortaleza, Brazil: International Group for Lean Construction.
Frandson, A., K. Berghede, and I. D. Tommelein. 2014. “Takt-time planning and the last planner.” In Proc., 22nd Annual Conf. of the Int’l. Group for Lean Construction (IGLC 22), 571–580. Berkeley, CA: International Group for Lean Construction.
Golabchi, A., S. U. Han, and S. AbouRizk. 2018. “A simulation and visualization-based framework of labor efficiency and safety analysis for prevention through design and planning.” Autom. Constr. 96 (Feb): 310–323. https://doi.org/10.1016/j.autcon.2018.10.001.
Gönsch, J. 2017. “A survey on risk-averse and robust revenue management.” Eur. J. Oper. Res. 263 (2): 337–348. https://doi.org/10.1016/j.ejor.2017.05.033.
Govan, P., and I. Damnjanovic. 2016. “The resource-based view on project risk management.” J. Constr. Eng. Manage. 142 (9): 04016034. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001136.
He, C., M. Liu, Y. Zhang, Z. Wang, M. H. Simon, G. Chen, and J. Chen. 2022. “Exploit social distancing in construction scheduling: Visualize and optimize space–time–workforce tradeoff.” J. Manage. Eng. 38 (4): 4022027. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001037.
Hegazy, T., A. S. Dina, and K. Mostafa. 2020. “Enhanced repetitive-scheduling computation and visualization.” J. Constr. Eng. Manage. 146 (10): 4020118. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001911.
Hegazy, T., K. Mostafa, and S. Ojulari. 2021. “Tetris-inspired approach for generating tightly-packed repetitive schedules.” Autom. Constr. 124 (Apr): 103601. https://doi.org/10.1016/j.autcon.2021.103601.
Hooshmand, F., F. Amerehi, and S. A. MirHassani. 2020. “Risk-based models for optimal sensor location problems in water networks.” J. Water Resour. Plann. Manage. 146 (11): 04020086. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001293.
Jaafari, A. 1984. “Criticism of CPM for project planning analysis.” J. Constr. Eng. Manage. 110 (2): 222–233. https://doi.org/10.1061/(ASCE)0733-9364(1984)110:2(222).
Ji, S.-H., M. Park, and H.-S. Lee. 2010. “Data preprocessing–based parametric cost model for building projects: Case studies of Korean construction projects.” J. Constr. Eng. Manage. 136 (8): 844–853. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000197.
Kamat, V. R. 2003. VITASCOPE: Extensible and scalable 3D visualization of simulated construction operations. Blacksburg, VA: Virginia Polytechnic Institute and State Univ.
Kamat, V. R., and J. C. Martinez. 2001. “Visualizing simulated construction operations in 3D.” J. Comput. Civ. Eng. 15 (Oct): 329–337. https://doi.org/10.1061/(ASCE)0887-3801(2001)15:4(329).
Kamat, V. R., J. C. Martinez, M. Fischer, M. Golparvar-Fard, F. Peña-Mora, and S. Savarese. 2011. “Research in visualization techniques for field construction.” J. Constr. Eng. Manage. 137 (10): 853–862. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000262.
Kedir, N. S., M. Raoufi, and A. R. Fayek. 2020. “Fuzzy agent-based multicriteria decision-making model for analyzing construction crew performance.” J. Manage. Eng. 36 (5): 04020053. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000815.
Kenley, R., and O. Seppänen. 2009. Location-based management for construction: Planning, scheduling and control. London: CRC Press.
Kim, J., Y. Ham, Y. Chung, and S. Chi. 2019. “Systematic camera placement framework for operation-level visual monitoring on construction jobsites.” J. Constr. Eng. Manage. 145 (4): 04019019. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001636.
Koskela, L. 1992. Application of the new production philosophy to construction. Stanford, CA: Stanford Univ.
Lee, H., J. Shin, M. Park, and H.-G. Ryu. 2009. “Probabilistic duration estimation model for high-rise structural work.” J. Constr. Eng. Manage. 135 (12): 1289–1298. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000105.
Leite, F., Y. Cho, A. H. Behzadan, S. Lee, S. Choe, Y. Fang, R. Akhavian, and S. Hwang. 2016. “Visualization, information modeling, and simulation: Grand challenges in the construction industry.” J. Comput. Civ. Eng. 30 (6): 04016035. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000604.
Lerche, J., P. Enevoldsen, and O. Seppänen. 2022. “Application of Takt and Kanban to modular wind turbine construction.” J. Constr. Eng. Manage. 148 (2): 1–14. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002245.
Liu, J., and M. Lu. 2019. “Robust dual-level optimization framework for resource-constrained multiproject scheduling for a prefabrication facility in construction.” J. Comput. Civ. Eng. 33 (2): 04018067. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000816.
Mahdavian, A., and A. Shojaei. 2020. “Hybrid genetic algorithm and constraint-based simulation framework for building construction project planning and control.” J. Constr. Eng. Manage. 146 (12): 04020140. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001939.
Martens, A., and M. Vanhoucke. 2020. “Integrating corrective actions in project time forecasting using exponential smoothing.” J. Manage. Eng. 36 (5): 04020044. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000806.
Melzner, J. 2019. “BIM-based Takt-time planning and Takt control: Requirements for digital construction process management.” In Proc., 36th Int. Symp. on Automation Robotics in Construction (ISARC 2019), 50–56. Edmonton, AB, Canada: International Association on Automation and Robotics in Construction.
Monghasemi, S., and M. Abdallah. 2021. “Linear optimization model to minimize total cost of repetitive construction projects and identify order of units.” J. Manage. Eng. 37 (4): 04021036. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000936.
Nikellis, A., and K. Sett. 2020. “Multihazard risk assessment and cost–benefit analysis of a bridge–roadway–levee system.” J. Struct. Eng. 146 (5): 04020050. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002579.
Olivieri, H., O. Seppänen, T. D. C. L. Alves, N. M. Scala, V. Schiavone, M. Liu, and A. D. Granja. 2019. “Survey comparing critical path method, last planner system, and location-based techniques.” J. Constr. Eng. Manage. 145 (12): 04019077. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001644.
Park, J., H. Cai, P. S. Dunston, and H. Ghasemkhani. 2017. “Database-supported and web-based visualization for daily 4D BIM.” J. Constr. Eng. Manage. 143 (10): 1–12. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001392.
Rockafellar, R. T., and S. Uryasev. 2000. “Optimization of conditional value-at-risk.” J. Risk 2 (3): 21–41. https://doi.org/10.21314/JOR.2000.038.
Rockafellar, R. T., and S. Uryasev. 2002. “Conditional value-at-risk for general loss distributions.” J. Banking Finance 26 (7): 1443–1471. https://doi.org/10.1016/S0378-4266(02)00271-6.
Roofigari-Esfahan, N., and S. Razavi. 2017. “Uncertainty-aware linear schedule optimization: A space-time constraint-satisfaction approach.” J. Constr. Eng. Manage. 143 (5): 04016132. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001276.
Sigalov, K., and M. König. 2017. “Recognition of process patterns for BIM-based construction schedules.” Adv. Eng. Inf. 33 (2017): 456–472. https://doi.org/10.1016/j.aei.2016.12.003.
Singh, J., J. C. P. Cheng, and C. J. Anumba. 2021. “BIM-based approach for automatic pipe systems installation coordination and schedule optimization.” J. Constr. Eng. Manage. 147 (11): 04021143. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002077.
Su, X., and H. Cai. 2013. “A 4D CPM-based graphic scheduling system.” In Proc., Int. Conf. on Computing in Civil Engineering, 786–793. Reston, VA: ASCE.
Taghaddos, M., H. Taghaddos, U. Hermann, Y. Mohamed, and S. AbouRizk. 2021. “Hybrid multi-mode simulation and optimization for subarea scheduling in heavy industrial construction.” Autom. Constr. 125 (May): 103616. https://doi.org/10.1016/j.autcon.2021.103616.
Tak, A. N., H. Taghaddos, A. Mousaei, A. Bolourani, and U. Hermann. 2021. “BIM-based 4D mobile crane simulation and onsite operation management.” Autom. Constr. 128 (May): 103766. https://doi.org/10.1016/j.autcon.2021.103766.
Tao, S., C. Wu, Z. Sheng, and X. Wang. 2018. “Space-time repetitive project scheduling considering location and congestion.” J. Comput. Civ. Eng. 32 (3): 4018017. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000745.
Tommelein, I. D. 2017. “Collaborative takt time planning of non-repetitive work.” In Proc. 25th Annual Conf. of the Int. Group for Lean Construction (IGLC 25), 745–752. Heraklion, Greece: International Group for Lean Construction.
Vaziri, K., P. G. Carr, and L. K. Nozick. 2007. “Project planning for construction under uncertainty with limited resources.” J. Constr. Eng. Manage. 133 (4): 268–276. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:4(268).
Wang, W. C., S. W. Weng, S. H. Wang, and C. Y. Chen. 2014. “Integrating building information models with construction process simulations for project scheduling support.” Autom. Constr. 37 (Mar): 68–80. https://doi.org/10.1016/j.autcon.2013.10.009.
Watson, J. P., R. Murray, and W. E. Hart. 2009. “Formulation and optimization of robust sensor placement problems for contaminant warning systems.” J. Infrastruct. Syst. 15 (4): 330–339. https://doi.org/10.1061/(ASCE)1076-0342(2009)15:4(330).
Yang, Y.-C., C.-J. Park, J.-H. Kim, and J.-J. Kim. 2007. “Management of daily progress in a construction project of multiple apartment buildings.” J. Constr. Eng. Manage. 133 (3): 242–253. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:3(242).
Yoon, J., K. Kim, and B. Choi. 2022. “Integrated framework for quantifying and applying nonworking days to planning and scheduling for determining reasonable construction time.” J. Manage. Eng. 38 (4): 04022023. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001054.
Younes, A., and M. Marzouk. 2018. “Tower cranes layout planning using agent-based simulation considering activity conflicts.” J. Constr. Eng. Manage. 93 (Sep): 348–360. https://doi.org/10.1016/j.autcon.2018.05.030.
Zhang, Y., A. Javanmardi, Y. Liu, S. Yang, X. Yu, S. M. Hsiang, Z. Jiang, and M. Liu. 2020. “How does experience with delay shape managers’ making-do decision: Random forest approach.” J. Manage. Eng. 36 (4): 04020030. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000776.
Zouein, P. P., and I. D. Tommelein. 2001. “Improvement algorithm for limited space scheduling.” J. Constr. Eng. Manage. 127 (2): 116–124. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:2(116).

Information & Authors

Information

Published In

Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 39Issue 2March 2023

History

Received: Mar 20, 2022
Accepted: Sep 9, 2022
Published online: Nov 21, 2022
Published in print: Mar 1, 2023
Discussion open until: Apr 21, 2023

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Ph.D. Candidate, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695. ORCID: https://orcid.org/0000-0002-0482-6243. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Syracuse Univ., Syracuse, NY 13244; Adjunct Professor, School of Civil Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266033, China (corresponding author). ORCID: https://orcid.org/0000-0002-3070-7109. Email: [email protected]
Yuxiang Zhang, Ph.D. [email protected]
Lecturer, School of Civil Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266033, China. Email: [email protected]
Zhigao Wang [email protected]
Graduate Student, School of Civil Engineering, Qingdao Univ. of Technology, Qingdao, Shandong 266033, China. Email: [email protected]
Professor and Department Chair, Dept. of Systems Engineering and Engineering Management, Univ. of North Carolina at Charlotte, Charlotte, NC 28223. ORCID: https://orcid.org/0000-0003-3224-9137. Email: [email protected]
Ph.D. Candidate, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695. ORCID: https://orcid.org/0000-0003-1935-2949. Email: [email protected]
Weiqiang Li [email protected]
Senior Engineer, China Construction Eight Engineering Division Corporation, Ltd., No. 8 Qinling Rd., Qingdao, Shandong 266001, China. Email: [email protected]
CEO, Qingdao Yongfu Construction Labor Resources Service Corporation, Ltd., No. 467 Middle Changjiang Rd., Qingdao, Shandong 266000, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Improving Construction Meeting Effectiveness: Trade-Offs between Reactive and Proactive Site-Level Planning Discussions, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-6087, 40, 5, (2024).
  • Synthesizing Ontology and Graph Neural Network to Unveil the Implicit Rules for US Bridge Preservation Decisions, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5803, 40, 3, (2024).
  • Motivating Reliable Collaboration for Modular Construction: Shapley Value–Based Smart Contract, Journal of Management in Engineering, 10.1061/JMENEA.MEENG-5428, 39, 6, (2023).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share