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Estimating time performance for building construction projects in Vietnam

  • Research Paper
  • Construction Management
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Abstract

Time performance is one of the most important aspects to be benchmarked in project management. Many factors arise during the project implementation process affecting the project time. Identifying the problems that are significant to executing construction schedule and incorporating them into a comprehensive model will be useful in project management. Based on a data set of 70 projects (outliers discarded), the multiple regression technique is applied to integrate significant variables into a model used to predict or evaluate the project time index. The result suggests that six variables, namely underground site condition, project management works, estimating works, competency of subcontractor(s), accuracy and completeness of design, and owner’s project financing emerged as important factors in regression model. The constructed regression model has a good performance when compared with an artificial neural network model developed for purpose of cross validation.

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Authors and Affiliations

  1. Faculty of Civil Engineering, National University of Hochiminh City, University of Technology, Hochiminh, Vietnam

    Long Le-Hoai

  2. Dept. of Civil and Construction Engineering, Pukyong National University, Busan, 608-739, Korea

    Young Dai Lee

  3. HAMY Construction Co., Ltd., Hochiminh, Vietnam

    Anh Tuan Nguyen

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  1. Long Le-Hoai
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  2. Young Dai Lee
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  3. Anh Tuan Nguyen
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Correspondence to Young Dai Lee.

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Le-Hoai, L., Lee, Y.D. & Nguyen, A.T. Estimating time performance for building construction projects in Vietnam. KSCE J Civ Eng 17, 1–8 (2013). https://doi.org/10.1007/s12205-013-0862-3

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  • DOI: https://doi.org/10.1007/s12205-013-0862-3

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