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

    Shih-Hsu Wang Affiliation
    ; Wei-Chih Wang Affiliation
    ; Pei-Yuan Hsu Affiliation
    ; Ci-Hao Chen Affiliation
    ; Kun-Chi Wang Affiliation

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.

Keyword : S-curve, supervision engineers, resource allocation management, engineering consultant firms, cluster analysis, regression analysis

How to Cite
Wang, S.-H., Wang, W.-C., Hsu, P.-Y., Chen, C.-H., & Wang, K.-C. (2016). Establishing engineering S-curves to evaluate supervision engineer allocations for highway construction projects. Journal of Civil Engineering and Management, 22(7), 890-902. https://doi.org/10.3846/13923730.2014.928363
Published in Issue
Jul 12, 2016
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