International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 4218
FUZZY LOGIC APPROACH IN CONSTRUCTION DELAY ANALYSIS
Mathew B K
1
, Reshma Kassim
2
1
PG Student, Structural Engineering and Construction Management, Department Of Civil Engineering, Saintgits
College of Engineering, Kottayam, Kerala, India
2
Assistant Professor, Department of Civil Engineering, Saintgits College of Engineering, Kottayam, Kerala, India
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Abstract – Delays are the biggest problem faced by the
construction industry in India. Completing projects in time is
the vital part of any construction project, but the construction
process is subjected to many variables and unpredictable
factors which make the time overrun. These factors result from
many sources such as availability of resources, external
factors, performance of parties, work specifications etc. When
there is a delay in project not only it creates negative impact
throughout the project but it also leads to loss of productivity,
increased cost and contract termination. Delays in
construction projects are inevitable and it may end in disputes
among different construction parties. Delays in construction
project needs to be identified and eliminated.
This paper describes the application of fuzzy logic toolbox of
Matlab Software for identifying the scheduled delays in
construction projects. A case study of housing project at Kochi,
Kerala is also included. Fuzzy logic provides a convenient
deduction of result with vague input. The scheduled delay was
obtained to be 32.9 percent from the actual schedule.
Keywords: Delay Analysis; Fuzzy Logic; MATLAB;
Construction project; Work specifications.
1. INTRODUCTION
Planning and control of resources within the framework of a
project is the main target of construction management.
Various project management procedures guide on how the
available resources can be best used during a construction
work. Delay in schedule is widespread in most of the projects
from around the world. Some of them may happen in the
preconstruction phase, and some other in the construction
phase. These delays create huge negative impacts on overall
project performance. Schedule delay analysis is a method
that is adopted in order to identify possible delay causing
factors and measure the net impacts of these delays in a
project. In schedule analysis, certain specific tools such as
bar chart schedules and critical path method (CPM)
schedules are used. Great amount of research works have
been done in this field and presented common schedule
analysis techniques. Some of them also have proposed new
methodologies to the construction industry specifically.
However, no single method is applicable in all kind of
projects since each of these delay analysis technique has its
own advantages and disadvantages. Main objective of this
study is to propose a decision support tool for quantifying
the probability of scheduled delay in construction projects.
2. LITERATURE REVIEW
Onur B. Tokdemir et al (2019) proposed a delay risk
assessment method for project scheduled by Line of Balance
(LOB). In this method the schedule is prepared considering
the target rate of delivery. The risk scenarios are defined
considering the sources of uncertainty and vulnerability of
activities. Then probability distributions are determined for
the required number of labor-hours for each activity. For
quantifying the delay risk of the project, Monte Carlo
simulation method is used. Issaka Ndekugri et al (2016)
did an empirical study into the current practices of delay
analysis methodologies used in the United Kingdom. The
work was part of a wider project that aimed at developing a
framework for improving delay claims analysis. The work
was based on a questionnaire survey of key informants in
the construction field. The research found out that delay
claims require inputs from various personnel involved in a
work such as, commercial managers, schedulers, site
managers, external claim consultants and estimators.
However, commercial managers have greatest involvement
in it. The study also found that claims analyzed using the
methods; as-built versus as-planned and the impacted as-
planned, are both successful. Nuhu Braimah (2015) studied
the various common construction delay analysis techniques
(DATs) based on a case study, i.e.; a review of the key
relevant issues often not addressed by the various delay
analysis techniques, and the necessary improvements
needed in them. From the study it was confirmed that
different analysis techniques yield different results for the
same delay claims scenario, and this was mainly due to their
unique application procedures.
3. FUZZY ASSESSMENT MODEL TO ESTIMATE THE
PROBABILITY OF SCHEDULE DELAY
3.1 INTERVIEW WITH EXPERTS AND CREATION OF
FUZZY RULES
An interview with experts in construction field was
conducted to obtain the fuzzy weight or rule weight for the
rules in fuzzy logic toolbox. The interview was conducted
with various personals such as Engineers, Quality controller,
Planners, Supervisors, Builders etc. They were asked to give
values to different delay causing factors ranging from 0 to
100, 0 being least causable and 100 highly causable. These
results obtained were converted into percentage values