Establishing engineering S-curves to evaluate supervision engineer allocations for highway construction projects

Shih Hsu Wang, Wei-Chih Wang*, Pei Yuan Hsu, Ci Hao Chen, Kun Chi Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Abstract: An engineering consultant firm needs to allocate engineers to supervise a highway construction project in each month during the construction phase. Properly assigning the supervision engineers under a cost-plus-fixed-fee contract has been a key factor affecting the profitability of the firm and the quality assurance of the project. Assigning too many engineers will be a waste, while allocating too few engineers may harm the supervision quality. This work proposes a two-stage model to develop engineering S-curves (called ES-curves) for planning and controlling the engineering supervision schedule. In the planning stage, a predictive ES-curve model is established based on historical ES-curves. In the controlling stage, an ES-curve is built according to the relationships between the engineering progress and construction progress. A cluster analysis and regression analysis are applied to the model development. A case study demonstrates that the produced ES-curves can help management in planning and evaluating when to increase or decrease the number of supervision engineers assigned to a project.

Original languageEnglish
Pages (from-to)890-902
Number of pages13
JournalJournal of Civil Engineering and Management
Volume22
Issue number7
DOIs
StatePublished - 2 Oct 2016

Keywords

  • S-curve
  • cluster analysis
  • engineering consultant firms
  • regression analysis
  • resource allocation management
  • supervision engineers

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