Project Schedule Acceleration Optimization Integrated with Energy Source–Based Assessment of Occupational Health and Safety Risks
Publication: Journal of Construction Engineering and Management
Volume 149, Issue 12
Abstract
This research devises a risk indexing method to assess the occupational health and safety (OHS) hazards associated with major sources of energy in the construction field, providing numerical inputs to project plan and schedule optimization. Further, the problem of “minimizing project schedule at lowest safety risks” (MPSLSR) is formalized to incorporate the concept of energy sources for OHS management in project planning and scheduling optimization. Instead of following commonly applied techniques to solve multiobjective optimization problems, the proposed research takes an alternative two-step approach to minimizing project duration and risk index, based on interpretation of path float in connection with the critical path method. This results in optimized project schedules that mitigate the substantial increment of OHS-related risks due to accelerating construction progress on projects through avoiding the incurrences of unnecessary activity time crashing and associated increases in OHS-related risks. The research application is demonstrated with (1) a tunnel construction project and (2) a made-up project featuring a large, complex network model.
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Data Availability Statement
Some or all data, models, or code used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgments. Activity data for the second case including respective normal duration, acceleration capacity, risk slopes, and succeeding activities can be found at https://shorturl.at/ahsOT.
Acknowledgments
Our sincere and utmost gratitude goes to Dr. Simaan AbouRizk for his kind, generous, and unwavering support during this research work. We would also like to acknowledge Frank Policicchio, Jason Newfeld, and many staff members from the Drainage Services Department of EPCOR for sharing technical knowhow and experiences on this research. Authors are also thankful for the following individuals for providing assistance in conducting this research and improving this paper: Sasan Nasiri, Monjurul Hasan, and Nurul Syuhada’ Mohd Radzi. The presented research was partially funded by (1) the Occupational Health & Safety (OHS) Future Grants Program of the Government of Alberta, Canada (Grant No. 05245033), and (2) National Science and Engineering Research Council (NSERC) of Canada (Grant No. CRDPJ492657) through a collaborative and development grant in collaboration with the Drainage Services Department of EPCOR.
References
ACS (American Chemical Society). 2020. “Risk rating and assessment.” Accessed January 16, 2021. https://www.acs.org/content/acs/en/chemical-safety/hazard-assessment/fundamentals/risk-assessment.html.
Akintoye, A. S., and M. J. MacLeod. 1997. “Risk analysis and management in construction.” Int. J. Project Manage. 15 (1): 31–38. https://doi.org/10.1061/SO263-7863(96)00035-X.
Albert, A., M. R. Hallowell, and B. M. Kleiner. 2014. “Enhancing construction hazard recognition and communication with energy source-based cognitive mnemonics and safety meeting maturity model: Multiple baseline study.” J. Constr. Eng. Manage. 140 (2): 04013042. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000790.
Altuwaim, A., and K. El Rayes. 2021. “Multiobjective optimization model for planning repetitive construction projects.” J. Constr. Eng. Manage. 147 (7): 04021072. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002072.
Ammar, M. A. 2020. “Efficient modeling of time-cost trade-off problem by eliminating redundant paths.” Int. J. Construct. Manage. 20 (7): 812–821. https://doi.org/10.1080/15623599.2018.1484862.
Assad, A., O. Moselhi, and T. Zayed. 2020. “Resilience-driven multiobjective restoration planning for water distribution networks.” J. Perform. Constr. Facil. 34 (4): 04020072. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001478.
ASSP (American Society of Safety Professionals). 2018. “American Society of Safety Professionals in conjunction with American Industrial Hygiene Association and Orr safety present: The energy wheel—An innovative approach to hazard identification & risk assessment.” Accessed January 16, 2021. https://greatplains.assp.org/events/energy-wheel-risk-assessment/.
Bahamid, R. A., and S. I. Doh. 2017. “A review of risk management process in construction projects of developing countries.” IOP Conf. Ser.: Mater. Sci. Eng. 271 (1): 12–42. https://doi.org/10.1088/1757-899X/271/1/012042.
Ballestin, F., and R. Blanco. 2011. “Theoretical and practical fundamentals for multi-objective optimisation in resource-constrained project scheduling problems.” Comput. Oper. Res. 38 (1): 51–62. https://doi.org/10.1016/j.cor.2010.02.004.
Carter, G., and S. D. Smith. 2006. “Safety hazard identification on construction projects.” J. Constr. Eng. Manage. 132 (2): 197–205. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:2(197).
Chatterjee, K., E. K. Zavadskas, J. Tamošaitienė, K. Adhikary, and S. Kar. 2018. “A hybrid MCDM technique for risk management in construction projects.” Symmetry 10 (2): 46. https://doi.org/10.3390/sym10020046.
Chen, W., and M. Zheng. 2021. “Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions.” Autom. Constr. 130 (Oct): 103840. https://doi.org/10.1016/j.autcon.2021.103840.
Denysiuk, R., A. V. Moreira, J. C. Matos, J. R. M. Oliveira, and A. Santos. 2017. “Two-stage multiobjective optimization of maintenance scheduling for pavements.” J. Infrastruct. Syst. 23 (3): 04017001. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000355.
Elbeltagi, E., T. Hegazy, and D. Grierson. 2009. “Comparison among five evolutionary-based optimization algorithms.” Adv. Eng. Inf. 19 (1): 43–53. https://doi.org/10.1016/j.aei.2005.01.004.
Elmasry, M., T. Zayed, and A. Hawari. 2019. “Multi-objective optimization model for inspection scheduling of sewer pipelines.” J. Constr. Eng. Manage. 145 (2): 04018129. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001599.
Fleming, M. A. 2009. “Hazard recognition techniques.” ASSE 8 (3): 11–15.
Franco-Duran, D. M., and J. M. de la Garza. 2019. “Review of resource-constrained scheduling algorithms.” J. Constr. Eng. Manage. 145 (11): 03119006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001698.
Geem, Z. W. 2010. “Multiobjective optimization of time-cost trade-off using harmony search.” J. Constr. Eng. Manage. 136 (6): 711–716. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000167.
Haddon, W., Jr. 1973. “Energy damage and the ten countermeasure strategies.” J. Hum. Factors 15 (4): 355–366. https://doi.org/10.1177/001872087301500407.
Hallowell, M. R. 2020. “The energy wheel: Review of the art and science of energy source-based hazard recognition.” Saf. Funct. 93 (Dec): 1–8.
Hasan, M., M. Lu, and R. Newton. 2022. “Multicontractor multiproject matching optimization for planning modular school construction programs.” Can. J. Civ. Eng. 50 (2): 102–113. https://doi.org/10.1139/cjce-2022-0299.
Hegazy, T., and A. Ayed. 1999. “Simplified spreadsheet solutions: Models for critical path method and time-cost-tradeoff analysis.” Cost Eng. 41 (7): 26.
Hyun, H., I. Yoon, H.-S. Lee, M. Park, and J. Lee. 2021. “Multiobjective optimization for modular unit production lines focusing on crew allocation and production performance.” Autom. Constr. 125 (May): 103581. https://doi.org/10.1016/j.autcon.2021.103581.
Kim, J., C. Kang, and I. Hwang. 2012. “A practical approach to project scheduling: Considering the potential quality loss cost in the time–cost tradeoff problem.” Int. J. Project Manage. 30 (2): 264–272. https://doi.org/10.1016/j.ijproman.2011.05.004.
Laryea, S., and S. Mensah. 2010. “Health and safety on construction sites in Ghana.” In Proc., Construction, Building and Real Estate Research Conf. of the Royal Institute of Chartered Surveyors, 8–19. Bingley, UK: Emerland Publishing.
Lingard, H., and S. M. Rowlinson. 2005. “Health and safety management systems.” Chap. 4 in Occupational health and safety in construction project management, 137. London: Taylor & Francis.
Liu, Y., K. You, Y. Jiang, Z. Wu, Z. Liu, G. Peng, and C. Zhou. 2022. “Multi-objective optimal scheduling of automated construction equipment using non-dominated sorting genetic algorithm (NSGA-III).” Autom. Constr. 143 (Nov): 104587. https://doi.org/10.1016/j.autcon.2022.104587.
Lu, M., J. Liu, and W. Ji. 2017. “Formalizing a path-float-based approach to determine and interpret total float in project scheduling analysis.” Int. J. Construct. Manage. 17 (4): 251–263. https://doi.org/10.1080/15623599.2016.1207366.
Marques, G., D. Gourc, and M. Lauras. 2011. “Multi-criteria performance analysis for decision making in project management.” Int. J. Project Manage. 29 (8): 1057–1069. https://doi.org/10.1016/j.ijproman.2010.10.002.
MITRE. 2020. “Risk impact assessment and prioritization.” Accessed January 21, 2021. https://www.mitre.org/publications/systems-engineering-guide/acquisition-systems-engineering/risk-management/risk-impact-assessment-and-prioritization.
Nasiri, S., and M. Lu. 2022. “Streamlined project time-cost tradeoff optimization methodology: Algorithm, automation, and application.” Autom. Constr. 133 (Jan): 104002. https://doi.org/10.1016/j.autcon.2021.104002.
NIST. 2012. Guide for conducting risk assessments. Gaithersburg, MD: NIST.
Robles, J. O., C. Azzaro-Pantel, and A. Aguilar-Lasserre. 2020. “Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms.” Comput. Chem. Eng. 140 (Sep): 106853. https://doi.org/10.1016/j.compchemeng.2020.106853.
Rostami, M., M. Bagherpour, M. M. Mazdeh, and A. Makui. 2017. “Resource pool location for periodic services in decentralized multi-project scheduling problems.” J. Comput. Civ. Eng. 31 (5): 04017022. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000671.
Siang, L. Y., F. E. M. Ghazali, N. Y. Zainun, and R. Ali. 2017. “General risks for tunnelling projects: An overview.” AIP Conf. Proc. 1892 (1): 080004. https://doi.org/10.1063/1.5005730.
Siddika, A. 2022. “Methodology for project schedule acceleration integrated with energy source-based assessment of occupational health and safety risks.” M.Sc. thesis, Dept. of Civil and Environmental Engineering, Univ. of Alberta.
Stantec. 2020. “Energy wheel field guide: Incident prevention for critical risk activities.” Accessed May 1, 2023. https://www.stantec.com/content/dam/stantec/files/PDFAssets/2020/hsse-hazard-guide.pdf.
Tran, D. H., and L. D. Long. 2018. “Project scheduling with time, cost and risk trade-off using adaptive multiple objective differential evolution.” Eng. Constr. Archit. Manage. 25 (5): 623–638. https://doi.org/10.1108/ECAM-05-2017-0085.
Wang, S. Q., M. F. Dulaimi, and M. Y. Aguria. 2004. “Risk management framework for construction project in developing countries.” Constr. Manage. Econ. 22: 237–252.
Wilson, H. A. 1989. “Organizational behaviour and safety management in the construction industry.” Construct. Manage. Econ. 7 (4): 303–319. https://doi.org/10.1080/01446198900000030.
Work Safe Alberta. 2022. “Work Safe Alberta occupational health and safety teacher resources.” Accessed August 14, 2022. https://open.alberta.ca/dataset/c8f3fb72-db24-4990-805e-dd751440fba6/resource/0b9b8c55-4441-422c-9305-95ab62c5644e/download/ohs-teacher-resource-binder-chapter03.pdf.
Zafirovski, Z., V. Gacevski, M. Lazarevska, and S. Ognjenovic. 2019. “Procedures for risk analysis and management in tunnelling projects.” In Vol. 135 of E3S Web Conf. 135 (Dec): 01001. https://doi.org/10.1051/e3sconf/201913501001.
Zheng, W., J. Shuai, and K. Shan. 2017. “The energy source based job safety analysis and application in the project.” Saf. Sci. 93 (Mar): 9–15. https://doi.org/10.1016/j.ssci.2016.11.009.
Zhou, J., P. E. Love, X. Wang, K. L. Teo, and Z. Irani. 2013. “A review of methods and algorithms for optimizing construction scheduling.” J. Oper. Res. Soc. 64 (Aug): 1091–1105. https://doi.org/10.1057/jors.2012.174.
Zhou, T., Q. Long, K. M. Law, and C. Wu. 2022. “Multi-objective stochastic project scheduling with alternative execution methods: An improved quantum-behaved particle swarm optimization approach.” Expert Syst. Appl. 203 (Oct): 117029. https://doi.org/10.1016/j.eswa.2022.117029.
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© 2023 American Society of Civil Engineers.
History
Received: Feb 3, 2023
Accepted: Jul 7, 2023
Published online: Sep 22, 2023
Published in print: Dec 1, 2023
Discussion open until: Feb 22, 2024
ASCE Technical Topics:
- Business management
- Construction engineering
- Construction management
- Construction methods
- Engineering fundamentals
- Health hazards
- Management methods
- Methodology (by type)
- Models (by type)
- Numerical methods
- Occupational safety
- Optimization models
- Practice and Profession
- Project management
- Public administration
- Public health and safety
- Safety
- Scheduling
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