Abstract

Delay results in disputes, which in many cases retard the progress of a project. Due to its criticality, a wide range of Delay Analysis Techniques (DAT) has been developed by various analysts over the years to address the issue. With the passage of time, analysts have identified the inherent properties or factors of each of these methodologies according to which they can be grouped into filter and utility factors. However, in the Sri Lankan construction industry, solutions to resolving and managing construction delays remain at an elementary level with most analysts opting for an ad-hoc selection of delay analysis techniques rather than being governed by considerations of suitability. Recognizing the importance of utility factors in construction delays, this study takes into consideration utility factors in the development of a framework that would aid in the selection of the most suitable DAT for the purpose of analyzing delays in the Sri Lankan building construction industry. A preliminary questionnaire survey was initially conducted, which sought to identify current delay analysis procedures, the use of DATs in the Sri Lankan building construction industry, and factors affecting the selection of DAT. The study was further expanded through a secondary questionnaire survey in order to select the most suitable delay analysis technique through a consideration of utility factors. The framework developed directs analysts to select the most suitable DAT via a consideration of utility factors. The proposed framework will lead to a reduction in the error margin in delay analysis while aiding the increase in accuracy of delay analysis.

Highlights

  • Delay remains one of the most common claim types in the construction industry

  • The aim of this paper is to provide a framework for selecting the most suitable Delay Analysis Technique (DAT) for the particular scenario under consideration taking into account the utility factors

  • The present paper aims to develop a framework to select the most suitable delay analysis technique for the Sri Lankan construction industry taking into consideration the utility factors

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Summary

Introduction

Delay remains one of the most common claim types in the construction industry. Since claims could be very complex and difficult to resolve, they have the potential to create havoc in the construction industry. The author further specified that utility factors represented the required level of utility of the factors to be considered by parties when selecting a single DAT against the inheriting properties and that filter factors are the ones that consist of 0.5 probability to each “yes” and “no” response of the relevant context properties. He went on to mention that in selecting the most appropriate DAT, a primary screening can be done using filter factors. The systematic and accurate consideration of utility factors will increase

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