Technical Papers
Sep 24, 2020

Multiskilled Project Management Workforce Assignment across Multiple Projects Regarding Competency

Publication: Journal of Construction Engineering and Management
Volume 146, Issue 12

Abstract

Contractors attempt to manage optimal collection of human capital that can optimize the company’s performance. The skills and competency of human resources contribute considerably to the competitive advantage of the firm. Yet the skill shortage problem encourages utilizing strategies that bring more flexibility to workforce management. Multiskilling has been suggested as a potential strategy that assists workforce assignment across multiple projects. However, it brings new challenges for company workforce managers. This study contributes to the construction project management body of knowledge by proposing a simulation framework for assigning multiskilled, mainly managerial, workforces across multiple projects of one company. Meanwhile, it is a combination of a staffng and scheduling decision model, incorporating workers’ competency status. A cohesive mathematical model using the cost objective function optimizes the entire allocation process toward minimizing resource usage and fluctuations, minimizing costs, and maximizing social sustainability. Ultimately, a validation example incorporating diverse workers’ competency data is provided to exemplify how the optimization model performs in an academic setting compared with three commonly used methods in workforce assignment. This approach provides insight into simulating workforce assignments across multiple projects regarding competency.

Get full access to this article

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

References

Ahmadian Fard Fini, A., A. Akbarnezhad, T. H. Rashidi, and S. T. Waller. 2017. “Job assignment based on brain demands and human resource strategies.” J. Constr. Eng. Manage. 143 (5): 04016123. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001273.
Ahmadian Fard Fini, A., T. H. Rashidi, A. Akbarnezhad, and S. Travis Waller. 2015. “Incorporating multiskilling and learning in the optimization of crew composition.” J. Constr. Eng. Manage. 142 (5): 04015106. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001085.
Arashpour, M., R. Wakefield, N. Blismas, and J. Minas. 2015. “Optimization of process integration and multi-skilled resource utilization in off-site construction.” Autom. Constr. 50 (Feb): 72–80. https://doi.org/10.1016/j.autcon.2014.12.002.
Arashpour, M., R. Wakefield, E. Lee, R. Chan, and M. R. Hosseini. 2016. “Analysis of interacting uncertainties in on-site and off-site activities: Implications for hybrid construction.” Int. J. Project Manage. 34 (7): 1393–1402. https://doi.org/10.1016/j.ijproman.2016.02.004.
Becker, K., and M. Smidt. 2016. “A risk perspective on human resource management: A review and directions for future research.” Hum. Resour. Manage. Rev. 26 (2): 149–165. https://doi.org/10.1016/j.hrmr.2015.12.001.
Blasco, S., and B. Pertold-Gebicka. 2013. “Employment policies, hiring practices and firm performance.” Labour Econ. 25 (Dec): 12–24. https://doi.org/10.1016/j.labeco.2013.04.011.
Brandenburg, S. G., C. T. Haas, and K. Byrom. 2006. “Strategic management of human resources in construction.” J. Manage. Eng. 22 (2): 89–96. https://doi.org/10.1061/(ASCE)0742-597X(2006)22:2(89).
Burleson, R. C., C. T. Haas, R. L. Tucker, and A. Stanley. 1998. “Multiskilled labor utilization strategies in construction.” J. Constr. Eng. Manage. 124 (6): 480–489. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:6(480).
Castañeda, J. A., R. L. Tucker, and C. T. Haas. 2005. “Workers’ skills and receptiveness to operate under the Tier II construction management strategy.” J. Constr. Eng. Manage. 131 (7): 799–807. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:7(799).
Chen, S.-M., P.-H. Chen, and L.-M. Chang. 2013. “A framework for an automated and integrated project scheduling and management system.” Autom. Constr. 35 (Nov): 89–110. https://doi.org/10.1016/j.autcon.2013.04.002.
Dai, J., P. M. Goodrum, and W. F. Maloney. 2009. “Construction craft workers’ perceptions of the factors affecting their productivity.” J. Constr. Eng. Manage. 135 (3): 217–226. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:3(217).
De Bruecker, P., J. Van den Bergh, J. Beliën, and E. Demeulemeester. 2015. “Workforce planning incorporating skills: State of the art.” Eur. J. Oper. Res. 243 (1): 1–16. https://doi.org/10.1016/j.ejor.2014.10.038.
Fan, S.-L., K.-S. Sun, and Y.-R. Wang. 2012. “GA optimization model for repetitive projects with soft logic.” Autom. Constr. 21 (Jan): 253–261. https://doi.org/10.1016/j.autcon.2011.06.009.
Florez, L. 2017. “Crew allocation system for the masonry industry.” Comput.-Aided Civ. Infrastruct. Eng. 32 (10): 874–889. https://doi.org/10.1111/mice.12301.
Florez, L., D. Castro, and A. L. Medaglia. 2012. “Maximizing labor stability as a sustainability performance indicator in project scheduling.” In Proc., Construction Research Congress, 465–474. Reston, VA: ASCE.
Fowler, J. W., P. Wirojanagud, and E. S. Gel. 2008. “Heuristics for workforce planning with worker differences.” Eur. J. Oper. Res. 190 (3): 724–740. https://doi.org/10.1016/j.ejor.2007.06.038.
Fragnière, E., J. Gondzio, and X. Yang. 2010. “Operations risk management by optimally planning the qualified workforce capacity.” Eur. J. Oper. Res. 202 (2): 518–527. https://doi.org/10.1016/j.ejor.2009.05.026.
Freeman, T. A. 2008. “Development and application of a multi-period project selection and engineering staffing model including options for alternative assignments and personnel reductions.” Doctoral dissertation, LYLE School of Engineering, Engineering Management, Information, and Systems (EMIS) Dept., Southern Methodist Univ.
Fulmer, I. S., and R. E. Ployhart. 2014. “‘Our most important asset’: A multidisciplinary/multilevel review of human capital valuation for research and practice.” J. Manage. 40 (1): 161–192. https://doi.org/10.1177/0149206313511271.
Gilan, S. S., M. H. Sebt, and V. Shahhosseini. 2012. “Computing with words for hierarchical competency based selection of personnel in construction companies.” Appl. Soft Comput. 12 (2): 860–871. https://doi.org/10.1016/j.asoc.2011.10.004.
Gomar, J. E., C. T. Haas, and D. P. Morton. 2002. “Assignment and allocation optimization of partially multiskilled workforce.” J. Constr. Eng. Manage. 128 (2): 103–109. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:2(103).
Gouda, A., O. Hosny, and K. Nassar. 2017. “Optimal crew routing for linear repetitive projects using graph theory.” Autom. Constr. 81 (Sep): 411–421. https://doi.org/10.1016/j.autcon.2017.03.007.
Hegazy, T., A. K. Shabeeb, E. Elbeltagi, and T. Cheema. 2000. “Algorithm for scheduling with multiskilled constrained resources.” J. Constr. Eng. Manage. 126 (6): 414–421. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:6(414).
Heravi, G., and E. Eslamdoost. 2015. “Applying artificial neural networks for measuring and predicting construction-labor productivity.” J. Constr. Eng. Manage. 141 (10): 04015032. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001006.
Hyari, K., M. El-Mashaleh, and A. Kandil. 2010. “Optimal assignment of multiskilled labor in building construction projects.” Int. J. Constr. Educ. Res. 6 (1): 70–80. https://doi.org/10.1080/15578771003590284.
Kolisch, R., A. Sprecher, and A. Drexl. 1995. “Characterization and generation of a general class of resource-constrained project scheduling problems.” Manage. Sci. 41 (10): 1693–1703. https://doi.org/10.1287/mnsc.41.10.1693.
Lill, I. 2009. “Multiskilling in construction—A strategy for stable employment.” Technol. Econ. Dev. Econ. 15 (4): 540–560. https://doi.org/10.3846/1392-8619.2009.15.540-560.
Liu, S.-S., and C.-J. Wang. 2007. “Optimization model for resource assignment problems of linear construction projects.” Autom. Constr. 16 (4): 460–473. https://doi.org/10.1016/j.autcon.2006.08.004.
Liu, S.-S., and C.-J. Wang. 2012. “Optimizing linear project scheduling with multi-skilled crews.” Autom. Constr. 24 (Jul): 16–23. https://doi.org/10.1016/j.autcon.2011.12.009.
Mani, N., K. P. Kisi, E. M. Rojas, and E. T. Foster. 2017. “Estimating construction labor productivity frontier: Pilot study.” J. Constr. Eng. Manage. 143 (10): 04017077. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001390.
Nasirian, A., M. Arashpour, B. Abbasi, and A. Akbarnezhad. 2019. “Optimal work assignment to multiskilled resources in prefabricated construction.” J. Constr. Eng. Manage. 145 (4): 04019011. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001627.
Qin, R., D. A. Nembhard, and W. L. Barnes II. 2015. “Workforce flexibility in operations management.” Surv. Oper. Res. Manage. Sci. 20 (1): 19–33. https://doi.org/10.1016/j.sorms.2015.04.001.
Sacks, R., and M. Goldin. 2007. “Lean management model for construction of high-rise apartment buildings.” J. Constr. Eng. Manage. 133 (5): 374–384. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:5(374).
Shahbazi, B., A. Akbarnezhad, D. Rey, A. Ahmadian Fard Fini, and M. Loosemore. 2019. “Optimization of job allocation in construction organizations to maximize workers’ career development opportunities.” J. Constr. Eng. Manage. 145 (6): 04019036. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001652.
Shi, J. J., and D. W. Halpin. 2003. “Enterprise resource planning for construction business management.” J. Constr. Eng. Manage. 129 (2): 214–221. https://doi.org/10.1061/(ASCE)0733-9364(2003)129:2(214).
Skibniewski, M. J., and S. Ghosh. 2009. “Determination of key performance indicators with enterprise resource planning systems in engineering construction firms.” J. Constr. Eng. Manage. 135 (10): 965–978. https://doi.org/10.1061/(ASCE)0733-9364(2009)135:10(965).
Srour, I. M., C. T. Haas, and D. P. Morton. 2006. “Linear programming approach to optimize strategic investment in the construction workforce.” J. Constr. Eng. Manage. 132 (11): 1158–1166. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:11(1158).
Vereen, S. C., W. Rasdorf, and J. E. Hummer. 2016. “Development and comparative analysis of construction industry labor productivity metrics.” J. Constr. Eng. Manage. 142 (7): 04016020. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001112.
Wang, Y., P. M. Goodrum, C. T. Haas, and R. W. Glover. 2009. “Analysis of observed skill affinity patterns and motivation for multiskilling among craft workers in the US industrial construction sector.” J. Constr. Eng. Manage. 135 (10): 999–1008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000072.
Wongwai, N., and S. Malaikrisanachalee. 2011. “Augmented heuristic algorithm for multi-skilled resource scheduling.” Autom. Constr. 20 (4): 429–445. https://doi.org/10.1016/j.autcon.2010.11.012.
Yi, W., and A. P. Chan. 2013. “Critical review of labor productivity research in construction journals.” J. Manage. Eng. 30 (2): 214–225. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000194.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 146Issue 12December 2020

History

Received: Dec 26, 2019
Accepted: Jun 30, 2020
Published online: Sep 24, 2020
Published in print: Dec 1, 2020
Discussion open until: Feb 24, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Mohsen Sarihi [email protected]
Ph.D. Student in Construction Engineering and Management, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, P.O. Box 1591634311, No. 424, Hafez Ave., Tehran, Iran. Email: [email protected]
Vahid Shahhosseini [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, P.O. Box 1591634311, No. 424, Hafez Ave., Iran (corresponding author). Email: [email protected]
Mohammad Taghi Banki
Assistant Professor, Dept. of Civil and Environmental Engineering, Amirkabir Univ. of Technology, P.O. Box 1591634311, No. 424, Hafez Ave., Tehran, Iran.

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

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