Technical Papers
Jun 22, 2018

Developing a Quality-Embedded EVM Tool to Facilitate the Iron Triangle in Architectural, Construction, and Engineering Practices

Publication: Journal of Construction Engineering and Management
Volume 144, Issue 9

Abstract

In modern architecture, engineering, and construction (AEC) practices, the Iron Triangle of schedule, cost, and quality remains the key measurement to gauge project success. Existing tools do not work well at monitoring all three measures of the Iron Triangle, resulting in a huge cost and time overrun, and the existing functionality of Earned Value Management (EVM) covers only time and cost, but not quality. Thus, this study aims to develop a quality extension to EVM that caters to quality measurement. Firstly, this research introduced a measurable index and developed a new quality assessment method named the Quality Performed Assessment Method (QPAM) through a quantitative approach. Subsequently, a new tool named Earned Quality Value Management (EQVM) was developed to manage the Iron Triangle in a single reporting setting. The QPAM and EQVM were validated through three tiers of validation processes, namely, a pilot run to test its functionality in a conceptual model, a scenario analysis to identify its sensitivity, and a real case study to validate its functionality. QPAM and EQVM performed satisfactorily in systematic reporting and monitoring enhancement. This single reporting tool enables project stakeholders to make cross-comparisons and gain more insight into the project portfolio. Academically, this research minimized the gap among Iron Triangle management, quality management, and project portfolio management. Practically, this research developed a method for Iron Triangle control on a daily basis for both a single project and a portfolio.

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Data Availability Statement

All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 9September 2018

History

Received: Nov 30, 2017
Accepted: Mar 7, 2018
Published online: Jun 22, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 22, 2018

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Authors

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Hong Yeow Ong [email protected]
Research Fellow, Intelligence and Automation in Construction Fujian Province Higher-Educational Engineering Research Centre, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China; Faculty of Built Environment, Univ. of Malaya, Kuala Lumpur 50603, Malaysia. Email: [email protected]
Chair Professor, Intelligence and Automation in Construction Fujian Province Higher-Educational Engineering Research Centre, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China (corresponding author). Email: [email protected]
Nurshuhada Zainon [email protected]
Senior Lecturer, Faculty of Built Environment, Univ. of Malaya, Kuala Lumpur 50603, Malaysia. Email: [email protected]

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