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An advanced exploration of functionalities as the underlying principles of construction control metrics

Author(s): ORCID
ORCID


Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment, , n. 3, v. 13
Page(s): 644-676
DOI: 10.1108/sasbe-12-2023-0379
Abstract:

Purpose

In academics and industry, significant efforts have been made to lead planners and control teams in evaluating project performance and control. In this context, numerous control metrics have been devised and put into practice, often with little emphasis on analyzing their underlying concepts. To cover this gap, this research aims to identify and analyze a holistic list of control metrics and their functionalities in the construction industry.

Design/methodology/approach

A multi-step analytical approach was conducted to achieve the study’s objectives. First, a holistic list of control metrics and their functionalities in the construction industry was identified. Second, a quantitative analysis based on social network analysis (SNA) was implemented to discover the most important functionalities.

Findings

The results revealed that the most important control metrics' functionalities (CMF) could differ depending on the type of metrics (lagging and leading) and levels of control. However, in general, the most significant functionalities include managing project progress and performance, evaluating the look-ahead level’s performance, measuring the reliability and stability of workflow, measuring the make-ready process, constraint management and measuring the quality of construction flow.

Originality/value

This research will assist the project team in getting a comprehensive sensemaking of planning and control systems and their functionalities to plan and control different dynamic aspects of the project.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-12-2023-0379.
  • About this
    data sheet
  • Reference-ID
    10779581
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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