Sensitivity of Risks in Construction Scheduling
Date
2017
Authors
Colaco, Rohan Maxwel
Journal Title
Journal ISSN
Volume Title
Publisher
National Institute of Technology Karnataka, Surathkal
Abstract
Construction industry is growing by leaps and bounds in recent times. The number of
stakeholders and investments in the construction industry is increasing. With the
growth in population there is a massive increase in demand for on time delivery of
finished products. An overall wide spread public awareness and upsurge of rating
agencies has increased the quality expectations of the customers. Due to challenges in
construction, new processes are devised to improve efficiency and add value to the
customer. Hence the construction projects are vulnerable to various technical and
business risks that are significant in the execution of the project. The core of this
research is based on recognizing the various risks in construction projects. Once the
risks are recognized the attempt is to quantify the risks. Subjecting the risks to
sensitivity analysis gives a better understanding when the accompanying costs are
included. Sensitivity analysis of risks and costs helps to compare the various
preferences that a constructor has by using present value analysis. The constructor is
equipped to take a reasonable decision based on the data analysis available. This
research seeks to identify and assess the risk and to develop a risk management
framework which the investors, developers and contractors easily adopt.
Risks vary due to differences in prevailing conditions that are specific to a particular
region. It is decided to approach a particular geographical region for the research
study. The general methodology of this study relies largely on the survey
questionnaire that is collected from the experienced engineers of Mangalore region. In
order to analyze the risks they need to be quantified. Broad based attempts to quantify
risks do not give a fair idea. The study of risks is concentrated to a particular
geographical region through a questionnaire survey. The survey questionnaire is
designed to probe the cross-sectional behavioral pattern of risks in construction
industry. The questionnaire prepared for the pilot survey is formulated by reviewing
the relevant literature in the area of construction risk management.
It is not possible to give a common risk matrix for construction projects in India. The
geographical divide of India is a challenge due to prevailing risk factors. It is
invariable to select smaller segments of geographical area for the purpose of study.
These regions have similarity in conditions. A model developed in a particular region
is easily replicable.Construction activities vary with type of projects. They are classified as private,
public or private public partnership projects and so on. In the present study the
construction projects in Mangalore city are taken as the pilot sample. The private
residential projects that consist of apartments, houses and commercial complexes are
considered as the group under study. The risks associated with the above construction
activity are obtained through a questionnaire survey. The study is limited to the
private construction projects of Mangalore region. The opinions are collected from
experienced engineers among the stakeholders.
The outcome of the survey is analyzed using various statistical formulae to obtain the
risk in construction projects of Mangalore region. The weights given to the risk are an
important measure to understand the importance and rank of the risks. The standard
deviation of the responses signifies reliability of the data. The research proposes a risk
management framework that uses the results of the survey to mitigate the risks in
construction. It is done using sensitivity analysis of risk values and cost to obtain a
risk cost that mitigates risk. It provides a comprehensive risk management system
which is sensitive to the risks and cost of activities in project schedule. The use of
time series for price forecasting and Present Value Analysis make the risk
management system more credible.
Description
Keywords
Department of Applied Mechanics and Hydraulics, Risk Management, Questionnaire survey, Sensitivity Analysis, Construction risks, Risk cost, Time Series, Net Present Value