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An improved time-cost trade-off model with optimal labor productivity

    Chien-Liang Lin Affiliation
    ; Yu-Che Lai Affiliation

Abstract

Optimization of the time-cost trade off (TCT) has received considerable attention for several decades. However, few studies have considered improving performance/productivity of existing crews. To shorten the gap to real-world applications, this study presents an improved TCT model that considers variable productivity using genetic algorithms (GAs). Through an illustrative case and a real world case, the results demonstrate that improving labor productivity of selected activities by allocating existing crews and management can yield an optimized solution. As such, a decision maker can implement a better optimized technique to reduce a project duration under budget while reducing the risk of liquidated damages. The main contribution of this study is to apply managerial improvement of labor productivity to TCT optimization, the project duration can be reduced owing to improved productivity of existing crews rather than inefficient overmanning, overlapping or costly substitution. In the end, three important managerial insights are presented and future research is recommended.

Keyword : labor productivity, time-cost trade-off, optimization, genetic algorithm

How to Cite
Lin, C.-L., & Lai, Y.-C. (2020). An improved time-cost trade-off model with optimal labor productivity. Journal of Civil Engineering and Management, 26(2), 113-130. https://doi.org/10.3846/jcem.2020.11663
Published in Issue
Feb 7, 2020
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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