Project performance review using forensic schedule analysis methods

Date of Publication

8-2023

Document Type

Master's Thesis

Degree Name

Master of Engineering major in Civil Engineering

Subject Categories

Civil Engineering

College

Gokongwei College of Engineering

Department/Unit

Civil Engineering

Thesis Advisor

Jason Maximino C. Ongpeng
Louie Boy G. De Real

Defense Panel Chair

Cheryl Lyne C. Roxas

Defense Panel Member

Daniel Nichol R. Valerio
Maria Emilia P. Sevilla

Abstract/Summary

The construction industry has been behind compared to other industries in maximizing the use of its vast data assets for operational advantage. The company involved in this practicum requires regular enhancement of its policies and processes but lacks a systematic method to generate data-driven insights from previous projects. This paper addresses this gap by proposing a framework that integrates forensic schedule analysis (i.e., as-built versus as-planned method) and earned value analysis (EVA) to analyze project performance. The framework was applied to a case study of two school building projects. A root cause analysis was conducted to identify the reasons of project delays as well as the key success factors for completing the project on time. Results show that contractor’s financial capacity played a critical role in construction contract execution especially during force majeure events such as a pandemic. Based on the findings, recommendations are proposed to improve delay remedies, guidelines during force majeure events, project monitoring strategies, contractor evaluation, payment schemes, insurance covers, and material delivery requirements.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Construction industry—Management; Scheduling

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Embargo Period

8-4-2023

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