Dynamic Modeling of Workforce Planning for Infrastructure Projects

Chun Pong Sing, P. E.D. Love, D. J. Edwards, Junxiao Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

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.
Original languageEnglish
Article number04016019
JournalJournal of Management in Engineering
Volume32
Issue number6
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Feedback
  • Policy analysis
  • System dynamics model
  • Workforce planning

ASJC Scopus subject areas

  • Industrial relations
  • Engineering(all)
  • Strategy and Management
  • Management Science and Operations Research

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