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An Optimization Model to Address the Skilled Labor Shortage in the Construction Industry

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Abstract

An optimization problem is formulated in this study to optimize the total investment in education, apprenticeship, and financial incentive to address the skilled labor shortages in the construction industry. Three separate mathematical models, namely linear programming (LP) models, fuzzy mathematical models, and structural equation models are compared for their accuracy, robustness, and ease of application in solving the optimization problem. LP models are found to be the best fit for solving the optimization problem. Relevant data on construction budget and investment preferences in education, apprenticeship, and financial incentive are obtained through a survey questionnaire from construction firms engaged in commercial and residential construction. The survey response suggests that more apprentices lean toward electrical and plumbing over carpentry due to the higher pay scale in both trade fields, thus reducing the skilled labor shortage in both areas when compared to carpentry. The optimization results indicate that apprenticeship and financial incentives play a significant role in reducing short-term labor shortages. Education, on the other hand, plays a significant role in reducing the labor shortage in the long run. A sensitivity analysis shows different optimal investments for the optimal allocation of labor shortages to be overcome by investments in education, apprenticeship, and financial incentives. A more robust analysis using additional data can be performed in future works to further investigate the relative effectiveness of investments in education, apprenticeship, and financial incentives in reducing skilled labor shortage.

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Availability of Data and Materials

Survey data is available from the corresponding author upon request.

References

  1. Leeds R (2017) Top 4 challenges facing the construction industry. https://www.futureofconstruction.org/blog/top-4-challenges-facing-the-construction-industry/. Accessed June 14, 2023

  2. Allen B (2022) Challenges the construction industry is facing in 2022. https://www.assuredpartners.com/blog/detail/bid/683/construction/challenges-the-construction-industry-is-facing-in-2022. Accessed June 14, 2023

  3. Associated Builders and Contractors (ABC) (2023) Construction workforce shortage tops half a million in 2023, Says ABC. https://www.abc.org/News-Media/News-Releases/entryid/19777/construction-workforce-shortage-tops-half-a-million-in-2023-says-abc. Accessed June 14, 2023

  4. Jaiswal R, Bachu AK, Jha MK (2023) A statistical and machine learning framework for measuring the economic impact of reduced travel due to COVID-19 in Maryland. In: Proceedings of the world conference on transport research-WCTR 2023 Montreal, 17–22 July 2023. https://www.researchgate.net/publication/372979913_A_Statistical_and_Machine_Learning_Framework_for_Measuring_the_Economic_Impact_of_Reduced_Travel_Due_to_COVID-19_in_Maryland. Accessed 21 Feb 2024

  5. Chini AR, Brown BH, Drummond EG (1999) Causes of the construction skilled labor shortage and proposed solutions. In: ASC proceedings of the 35th annual conference, california polytechnic State University-San Luis Obispo, California, April 7–10, 1999, pp 187–196. http://ascpro0.ascweb.org/archives/1999/chini99.htm. Accessed June 14, 2023

  6. Cheng M-Y, Khitam AFK, Tanto HH (2023) Construction worker productivity evaluation using action recognition for foreign labor training and education: a case study of Taiwan. Autom Constr 150:104809

    Article  Google Scholar 

  7. Laufer A, Raviv E, Stukhart G (1992) Incentive programs in construction projects: the contingency approach. Proj Manag J 23(2):23–30

    Google Scholar 

  8. Mattila KG, Abraham DM (1998) Resource leveling of linear schedules using integer linear programming. ASCE J Constr Eng Manag 124(3):232–242

    Article  Google Scholar 

  9. Barbosa PSF, Pimentel PR (2001) A linear programming model for cash flow management in the Brazilian construction industry. Constr Manag Econ 19(5):469–479

    Article  Google Scholar 

  10. Gomar JE, Haas CT, Morton DP (2002) Assignment and allocation optimization of partially multiskilled workforce. ASCE J Constr Eng Manag 128(2):103–112

    Article  Google Scholar 

  11. Srour IM, Haas CT, Morton DP (2006) Linear programming approach to optimize strategic investment in the construction workforce. ASCE J Constr Eng Manag 132(11):1158–1167

    Article  Google Scholar 

  12. Arrow K, Capron W (1959) Dynamic shortages and price rises: the engineer-scientist case. Q J Econ 73(2):292–308. https://doi.org/10.2307/1883726

    Article  Google Scholar 

  13. Healy JG, Mavromaras KG, Sloane PJ (2011) Adjusting to skill shortages: complexity and consequences, IZA discussion paper no. 6097. https://doi.org/10.2139/ssrn.1958753

  14. Shah C, Burke G (2005) Skills shortages: concepts, measurement and policy responses. Aust Bull Labour 31(1):44–71. https://doi.org/10.3316/ielapa.009384738537164

    Article  Google Scholar 

  15. Mackenzie S, Kilpatrick AR, Akintoye A (2000) UK construction skills shortage response strategies and an analysis of industry perceptions. Constr Manag Econ 18(7):853–862

    Article  Google Scholar 

  16. De Silva N, Rajakaruna RWDWCAB, Bandara KATN (2008) Challenges faced by the construction industry in Sri Lanka: perspective of clients and contractors. http://usir.salford.ac.uk. Accessed on June 14, 2023

  17. Mitra S, Tan A (2012) Lessons learned from large construction project in Saudi Arabia. Benchmark Int J 19(3):308–324. https://doi.org/10.1108/14635771211242978

    Article  Google Scholar 

  18. Gudienė N, Banaitis A, Banaitienė N, Lopes J (2013) Development of a conceptual critical success factors model for construction projects: a case of Lithuania. Proc Eng 57:392–397. https://doi.org/10.1016/j.proeng.2013.04.051

    Article  Google Scholar 

  19. Praveen R, Niththiyananthan T, Kanarajan S, Dissanayake PBG (2013) Understanding and mitigating the effects of shortage of skilled labour in the construction industry of Sri Lanka. http://dl.lib.mrt.ac.lk/handle/123/9439. Accessed June 14, 2023

  20. Jayawardane AKW, Gunawardena ND (1998) Construction workers in developing countries: a case study of Sri Lanka. Constr Manag Econ 16(5):521–530. https://doi.org/10.1080/014461998372060

    Article  Google Scholar 

  21. Thomas J (2015) Study on causes and effects of employee turnover in construction industry. Int J Sci Res (IJSR) 4(5):3041–3044

    Google Scholar 

  22. Adekunle O (2019) A linear programming-based optimization model to address skilled labor shortages through strategic investments in the construction industry. Doctoral dissertation, Morgan State University, Baltimore, MD

  23. Customer Thermometer (2023) Average survey response rate—what you need to know. https://www.customerthermometer.com/customer-surveys/average-survey-response-rate/. Accessed June 14, 2023

  24. Lingo (2023) Lindo Systems Inc. https://www.lindo.com/index.php/products/lingo-and-optimization-modeling. Accessed June 17, 2023

  25. Jha MK, Wanko N, Bachu AK (2023) A machine learning-based active learning framework to capture risk and uncertainty in transportation and construction scheduling. In: Rastogi R, Bharath G, Singh D (eds) Recent trends in transportation infrastructure, volume 2: select proceedings of TIPCE 2022. Springer, London

    Google Scholar 

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Acknowledgements

This research is part of the first author’s dissertation research and is self-funded.

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Authors and Affiliations

Authors

Contributions

OA and MJ developed the concept of the paper. Both authors developed the methodology and mathematical formulation. OA conducted the survey and analyzed the survey data. MJ wrote the manuscript. Both authors approved the final version of the manuscript for publication.

Author’s Information

Dr. Manoj K. Jha is adjunct professor of civil and environmental engineering at George Washington University, USA. He is also adjunct associate professor of information technology with data science focus at the University of Maryland Global Campus, USA. He works full-time as the Director of Advanced Analytics and Data Science at the Brite Group in Leesburg, VA, USA (https://www.thebritegroup.com/). Dr. Olawale (Kenny) Adekunle is project executive at Coakley & Williams Construction in the Washington, DC area, USA. He received a Doctor of Engineering degree in civil Engineering from Morgan State University, USA. The research presented here was part of his doctoral dissertation.

Corresponding author

Correspondence to Manoj K. Jha.

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Conflict of interest

The authors have no conflict of interest.

Appendix: Sample Survey Questionnaire

Appendix: Sample Survey Questionnaire

Sample survey questionnaire

 

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Email address

 

What type of construction projects is this? (Circle the correct answer)

 

What is the total-estimated budget (in dollars) for the construction project?

 

What is the total-estimated budget (in dollars) for carpentry on the project?

 

What is the total-estimated budget (in dollars) for plumbing on the project?

 

What is the total-estimated budget (in dollars) for electrical work on the project?

 

What is the total-estimated budget (in dollars) for other skilled labor/trades on the project?

 

What is the estimated time (in months) to complete the construction project (from the beginning)

 

Have there been any scheduling adjustment/delay since the beginning of the project? If the answer is yes then please explain the reasons of delay

 

Have there been any adjustment in the estimate of the original budget since the beginning? If the answer is yes then please explain the reasons of budget adjustment

 

Have there been a skilled labor shortage in meeting the schedule and budget?

 

If the answer to Question 10 above is yes then please select the trade in which it has been difficult to attract potential employees for the project. Circle the correct answer

 

Can investment toward education, apprenticeship, and financial incentives attract potential skilled employees in short supply?

 

To meet the demand for skilled labor, what is your order of preference among investment toward education, apprenticeship, and financial incentives? Write 1, 2, or 3 next to your preference with 1 being the highest preference and 3 being the lowest. [Education]

 

To meet the demand for skilled labor, what is your order of preference among investment toward education, apprenticeship, and financial incentives? Write 1, 2, or 3 next to your preference with 1 being the highest preference and 3 being the lowest. [Apprenticeship]

 

tTo meet the demand for skilled labor, what is your order of preference among investment toward education, apprenticeship, and financial incentives? Write 1, 2, or 3 next to your preference with 1 being the highest preference and 3 being the lowest. [Financial Incentive]

 

To meet the demand for skilled labor, what is your order of preference among investment toward education, apprenticeship, and financial incentives? Write 1, 2, or 3 next to your preference with 1 being the highest preference and 3 being the lowest. [No preference]

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “EDUCATION” required to meet the demand shortage in carpenters? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “APPRENTICESHIP” required to meet the demand shortage in carpenters? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “FINANCIAL INCENTIVE” required to meet the demand shortage in carpenters? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “EDUCATION” required to meet the demand shortage in electricians? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “APPRENTICESHIP” required to meet the demand shortage in electricians? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “FINANCIAL INCENTIVE” required to meet the demand shortage in electricians? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “EDUCATION” required to meet the demand shortage in plumbers? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “APPRENTICESHIP” required to meet the demand shortage in plumbers? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “FINANCIAL INCENTIVE” required to meet the demand shortage in plumbers? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “EDUCATION” required to meet the demand shortage in other skilled labors not covered in Questions 14–22 above? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “APPRENTICESHIP” required to meet the demand shortage in other skilled labors not covered in Questions 14–22 above? Please write the percentage below the three categories in the right columns

 

In your opinion, what percentage of the budget is a reasonable estimate of the investment in “FINANCIAL INCENTIVE” required to meet the demand shortage in other skilled labors not covered in Questions 14–22 above? Please write the percentage below the three categories in the right columns

 

Do you think investment toward education and apprenticeship can reduce the skilled labor shortage in the long term?

 

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Adekunle, O., Jha, M.K. An Optimization Model to Address the Skilled Labor Shortage in the Construction Industry. Int J Civ Eng (2024). https://doi.org/10.1007/s40999-024-00941-w

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