Dynamic Modeling of Workforce Planning for Infrastructure Projects

Sing, Michael C. P. and Love, P.E.D. and Edwards, D.J. and Liu, J. (2016) Dynamic Modeling of Workforce Planning for Infrastructure Projects. ASCE Journal of Management in Engineering.

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Abstract

Workforce planning (WP) for infrastructure projects provides a readily available pool of skilled labor that can deliver a nation’s societal needs. However, achieving a robust and reliable workforce prediction is a constant challenge, as a variety of variables and factors must be considered. Despite various forecasting techniques and approaches being developed, government’s worldwide continue to produce inaccurate forecasts and consequently fail to maintain the balanced workforce required to deliver infrastructure projects. To address this problem, a system dynamics (SD) model for the construction and civil engineering industry is developed, as traditional WP modeling
approaches are static and unable to accommodate the changing complex dynamics that influence workforce supply and demand. The
SD model is tested and used to formulate training policies that ensure workforce equilibrium and in turn, nurture sustainable infrastructure
development.

Item Type:	Article
Dates:	Date Event 2016 Published
Uncontrolled Keywords:	Feedback; Workforce planning; System dynamics model; Policy analysis.
Subjects:	CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-01 - architecture CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-04 - planning (urban, rural and regional)
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Built Environment
Depositing User:	Ian Mcdonald
Date Deposited:	17 Nov 2016 11:19
Last Modified:	20 Jun 2024 11:46
URI:	https://www.open-access.bcu.ac.uk/id/eprint/3539

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