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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 797
Analysis of Cost Variation between Estimated Cost and Actual Cost of
Residential Building Project
Vrushabh Awati1, Nagesh Suryawanshi2
1,2Department of Civil Engineering, Rajarambapu Institute of Technology, Rajaramnagar Sakharale, Maharashtra,
415414, INDIA
-----------------------------------------------------------------------***------------------------------------------------------------------------
Abstract—The main aim of this study is to prioritize the
main causes of cost overrun in construction projects.
Sangli area is selected to collect the data. The collected
data is then analyzed and compared to the actual budget
the estimated cost to see the various causes of cost
overrun. With the help of various workers such as
Consultants contractors site engineers and others
questionnaire is prepared to the various factors which
causes Cost overrun. The study will show the main factors
which results in cost overrun. In further projects this type
of study he's going to help the project manager to work on
various causes of cost overrun.
Keywords—Cost overrun; Relative importance index;
Factors of cost overrun; Relative important index
1. INTRODUCTION
Cost is the major factor which is to be considered as
one of the most important parameter of the project
and he's also proven most construction projects fail
to achieve its objectives the specific cost. Almost all
the projects have been in construction industry have
been affected by cost variation in frequent cases. Cost
overrun differs from region to region and is also
dependent on economic and geographic factors.
Human resources are also related to Cost overrun in
few cases. To identify and prioritize the major cause
of cost overrun is the focus of this case study. This
will help to reduce cost over similar projects. With
the help of various workers such as architects and
engineers a questionnaire is formed. These factors
are ranked by Relative importance index.
2. METHODOLOGY:
To achieve the objectives of the study the following
activities have been conducted:
2.1 Questionnaire Design
The questionnaire has been developed based on the
literature findings & preliminary discussions with
consultants, contractors & architects. To ensure
maximum participation the questionnaire has been
distributed to consultants, contractors/builders and
Architects. The questionnaire response from consultants,
contractor’s, builders and architects was collected first
and then after studying their responses ranking has been
done to causes of cost variation. The data collected has
been presented, tabulated & analyzed using suitable
statistical technique. Also a case study has been taken for
study of causes of cost variation in construction industry.
A discussion of the results is linked with findings of the
literature and case- study, then cost variation were
identified and ranked based on theirs severity. A
conclusion of the major findings is stated & some
recommendations are given to mitigate the salient
problem.Selection of data collection technique. Personal
interviews and desk study discussions were carried out
and a questionnaire is formed. The questionnaire is
prepared by honest and frank opinions as the
respondents are not required to state their names. If
interviews are conducted by the author then respondents
and particularly contractors and consultants might not
express their opinions frankly on the issues related to
their clients. The causes of construction cost variation are
too many to be covered in 30 minutes interview and the
respondents might not have longer time to spend on
longer interviews. The questionnaire is
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 798
Table.1 Category and weightage for the explanation
designed carefully to obtain the required data from the
respondent .The English language is chosen for the
questionnaire as it suits all the respondents. The first
category is the information about the respondent’s
characteristics and their involvement in the building
projects. The second one concerns respondent’s opinions
on the cost variation faced. The first and second category
of the questions is designed based on the respondent’s
knowledge and the familiarity of the construction
industry and the involvement. The questionnaire is kept
as short as possible, but comprehensive enough, so that it
could be completed within 20 to 30minutes.
2.2 Collection of causes
Causes are collected from two sources-Literature survey
(National & international journals and papers).First, an
international literature survey was performed to create
an initial pool of possible causes for cost variations in
construction projects. This literature survey
encompassed dozens of journal articles. Any potential
cause for cost variations in construction mentioned.
References had been added to the list. The literature
survey yield sample number of potential causes.
Discussion with guide and an expert practicing in this
construction industry. In a parallel route local expert
survey was carried out. The experts were not exposed to
the previous findings of the international literature survey.
Their answers pertained to the local, city-specific
circumstances. This discussion yielded 36 potential causes.
The first focus phase of this study consisted of
categorizing, filtering duplications, and merging similar or
closely related causes. Figure 1 shows Pie chart of the
respondents involved in the questionnaire survey. The
questionnaire is designed carefully to obtain the required
data from the respond. The present status of construction
industry with the help of literature review was used to
form the questionnaire. Some questionnaires that are
related to topic are reviewed and some questions that are
found to be applicable to the construction industry were
extracted from them. The main data required for this study
is divided into two main categories. The first category is
related to the information about the respondent’s
characteristics and their involvement in the construction
industry. It identifies the questions concerning the
performance of the projects that respondents have been
involved in number of the projects that respondent has
participated in and in how much is the cost variance. From
this amount of the cost variation is got.The second section
includes cost variation causes that were collected earlier to
which respondents give their opinions on the severity of
certain causes of construction cost variation in building
projects. This section contains 6 categories in which 36
cost variation causes are classified. For each factor, the
respondents were requested to answer the severity impact
of it cost. A six-point scale of 0 to 5 was considered for
evaluating the 36 impact of each factor. These numerical
impact values are assigned to the respondents rating
0: Never;
1: Less;
2: Sometimes;
3: Average;
4: Often;
5:Always
2.3 Questionnaire Content
The questionnaire included 36 cost varying factors which
are divided into six categories that are related to the
factors of cost.
Parts of the questionnaire are:
 Factors related to finance
Sr
.
N
o.
Catego
ry
Explanation Wei
ght
age
1. Never 0% cost variation
contributing factor.(Not
affected)
0
2. Less 1-20% cost variation
contributing factor.(less
affected)
1
3. Someti
me
21-40% cost variation
contributing factor.(
slightly affected)
2
4. Aveage 41-60% cost variation
contributing
factor.(moderately
affected)
3
5. Often 61-80% cost variation
contributing
factor.(significantly
affected)
4
6. Always 81-100% cost variation
contributing factor.(less
affected)
5
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 799
 Management factors
 Factors related tolabour
 Factors related tomaterial
 Factors related toproject
 Other factors(externalfactors)
Scoring system and method of analysis. In the
questionnaire, an Ordinal scale of measurements is
applied for data measurements in questionnaire
survey. Ordinal scale used for this study includes
Never; Less; Sometimes, Average, Often and Always.
However, abbreviation replaced with numbers i.e.
0 for never(0%) ;
1 for less (1-20%) ;
2 for sometimes (21-40%);
3 for average (41-60%);
4 for often (61-80%) ;
5 for always (81-100%).
In the study Relative Important index (RII) have been
employed and calculated for ranking of causes of cost
variation in the construction project. The RII is used to
rank the different causes. These rankings make it possible
to cross-compare the relative importance of the factors as
perceived by the two groups of respondents (i.e. owner
and contractors).Following formula is used for the
calculating the Relative Importance Index (RII) for
different causes
W= Score given to each cause by respondent ranges
from 0 to 5 (where 0 is not affected and 5 is extremely
affected.)
A= Highest Score i.e. 5 in this case
N= Total No. of respondents
Table 2. Total no of respondents.
Participants in questionnaire survey are
Fig.1 Pie chart of total participants.
Fig shows pie chart which indicates .Total 40 participants
were there, in which 8 of them were architects, 16 were
builders and remaining 16 were contractors.
Fig.2 Experience of Participants.
Majorly participants have the experience of more than 15
years, they are highly experienced. So the result obtainted
Participants
Contractor 16
Builder 16
Architect 8
0
1
2
3
4
5
6
7
8
9
Below
5 yrs
5 yrs -
15 yrs
15 yrs
- 25
yrs
Above
25 yrs
Contractor
Builder
Architect
Description No. of
respondents
Architects 8
Contractors 16
Builders 16
Total 40
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 800
is much more accurate. There are less chances of error.
Fig.3 Different scale projects respondents worked.
Majorly the respondents have worked in bigger projects.
In large scale projects, different types of cost variance can
be observed. So chances of error is less. Content validity
and reliability test has been found by using IBM SPSS
statistics data analysis software.
Fig. 4 SPSS data inputs value.
Fig. 5 Cronbach’s Alpha value in SPSS
1. Result and discussion
Table 3. Ranking of factors according to RII value
Sr.
No
Factor RII Ran
k
1 Liquidity of organization 0.849 1
2 Site characteristics 0.839 2
3 Taxes and interest rates 0.774 3
4 Predetermined
underestimations
0.715 4
5 Cost of rework 0.672 5
6 Project size 0.602 6
7 Quality of finishing 0.581 7
8 Project location 0.581 8
9 Design changes 0.565 9
10 Transportation material 0.548 10
11 Damage 0.538 11
12 Project type 0.532 12
13 Demand and supply 0.522 13
14 Inappropriate contractors 0.511 14
15 Storage of material 0.511 15
16 Mistakes in construction 0.505 16
17 Construction equipment 0.505 17
18 Unexpected ground
condition
0.505 18
19 Inflation 0.489 19
0
1
2
3
4
5
6
7
>25 lakhs 25 -50
lakhs
50lakhs -
1cr
>2 cr
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 801
20 Shortage of material 0.457 20
21 Number of stories 0.457 21
22 Unavailability of competent
staff
0.446 22
23 Disputes 0.446 23
24 Forms of procurement 0.446 24
25 Health and safety cost 0.435 25
26 Land cost 0.430 26
27 Incentives 0.409 27
28 Construction management 0.403 28
29 Absenteeism rate 0.382 29
30 Inspection and testing 0.349 30
31 Time needed to rectify
defects
0.349 31
32 Number of workers 0.339 32
33 Force majeure 0.339 33
34 Labour strikes 0.317 34
35 Items manufactured offsite 0.306 35
36 Deflation 0.296 36
So the top four categories which causes cost variation are
liquidity of organization, site characteristics, taxes and
interest rates and predetermined underestimations. One of
the important scopes of asset liablity is management of
liquidity risk, measuring and managing liquidity needs are
vital for effective operation of banks and financial
institution. More time should be given. Proper planning
should be done to reduce the variance in liquidity of
organization.
Proper surveying and site inspection should be done
in ordered to recuce cost variance in site characteristics
.The required formation level or the depth of the
excavation level should be properly checked with
reference to gate level recommendation with help of city
engineer. The soil report should be properly checked.
Various ratios and various terms should be checked to
redue the variance in taxes and interest rates such as,
statement of profitability, projected Balance sheet, cash
flow statements, partners capital, loan from the bank
liquidity ratio, loan to value ratio profitablity ratio.
To reduce the cost variance in predetermined
underestimation, instead of analogous estimation,
generally go for parametric estimation. Even the use of
Three point estimation will help. In Three point
estimation, instead of 1, take average of three estimates.
Bottom –up estimation also gives accurate results.
3. CONCLUSION
From the study conducted and by analyzing the feedback
of the respondents it can be concluded that that liquidity of
organization, taxes and interest rates, site characteristics
and Predetermined underestimations are major factors
impacted on cost variation of the construction project. So it
is suggested to focus on this main factors so as to avoid
cost variation in the construction of new project.
FUTURESCOPE
The study done was limited up to area in Sangli and
Kolhapur district. Further study can be done by increasing
the area. It may lead to an increase in the variations in
project cost and other rates in construction industry.
ACKNOWLEDGMENT
We would like to thank and acknowledge the K.E. Society’s
Rajarambapu Institute of Technology, Sangli for all kinds of
supports for the project.
REFERENCES
[1] Tejale Dhanashree S., (2015),"Analysis of
Construction Project Cost Overrun by Statistical
Method”, International Journal of Advance Research
in Computer Science and Management Studies Vol.3,
No.5,pp.(349-355)
[2] Tien-Choon Toha, Connie Tingb, Kherun-Nita Alic,
Godwin-Uche Aliaghad and Omar Munira,(2012),"
Critical Cost Factors Of Building Construction
Projects In Malaysia". Proceedings of International
Conference on Asia Pacific Business Innovation and
Technology Management, Malaysi. Vol.55,pp.(360-
367)
[3] Alin Veronika, Leni S Riantiniand and Bambang
Trigunarsyah (2006),"Corrective Action
Recommendation for Project Cost Variance in
Construction Material Management" Proceedings of
the Tenth East Asia-Pacific Conference on Structural
Engineering and Construction, Thailand,Vol.5, pp.
(23-28)
[4] Daniel Okpala C .and Aniekwu Anny N.,
(1988),“Causes of High Costs of Construction in
Nigeria”,Journal of Construction Engineering and
Management Vol. 114, No. 2, pp. (233-244)
[5] Mhando Yusuph B., Mlinga Ramadhan S. and
Alinaitwe Henry M.(2015),"Factors Influencing
Variations in Public Building Projects ". Proceedings
of 4th Construction Management Conference
Department of Construction Management, South
Africa" pp.(162-176)
[6] Prajapati Santosh kumar ,Gupta Rakeshand Pandey
Mukesh, (2016)," Causes and Effects of Cost Overrun
on Construction Projects in Madhya Pradesh".
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 802
International Journal of Engineering Development
and Research Vol.4,No.2, pp.( 1346-1350)
[7] Devi Vaishnavi S., (2017),“ Cost Escalation in
Construction Projects”, International Journal for
Research in Applied Science & Engineering, Vol. 5,
No. 1, pp. 271-277
[8] Jansu Ann Jose and Xavier Belarmin C.S., (2015),
“Analysis of Time and Cost Overrun in Building
Construction”, Proceedings of International
conference on recent advances in engineering
science and management, New Delhi, pp. 305-311
[9] Shete Anant Narayan and Kothawade Vaibhav
Durwas, (2016),“An Analysis of Cost Overruns and
Time Overruns of Construction Projects in India”,
International journal of Engineering Trends and
technology,Vol.41, No.1, pp. 33-36
[10] Surabattuni Murali and Sanjeet Kumar, (2019), “
Factors Affecting Overruns Construction Time and
Cost”, International Jouranl of Recent Technology
and Engineering”, Vol.7,Issue.6C2
[11] Salim S. Mulla and Ashish P. Waghmare, (2015),
“Influencing factors caused for Time and Cost
Overruns in Construction Projects in Pune-India and
their Remedies”, International Journal of Innovative
Science, Engineering and Technology. Vol.2 Issue10
[12] Yong-Woo Kim and Glenn Ballard,(2002),“Case
Study- overhead cost analysis”, Journal of
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No. 3, pp. (125-135)
[13] Laila M. Khodeir and Alaa El Ghandour (2019)),
“Examining the role of value management in
controlling cost overrun”, Ain Shams Engineering
Journal
[14] Osamu Mizuno and Tohru Kikun(2000),“Statistical
Analysis of Deviation of Actual Cost from Estimated
Cost Using Actual Project Data”, Graduate School of
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[15] Agata Czarnigowska (2008),“Earned Value method
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Construction, Lublin University of Technology

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Analysis of Cost Variation between Estimated Cost and Actual Cost of Residential Building Project

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 797 Analysis of Cost Variation between Estimated Cost and Actual Cost of Residential Building Project Vrushabh Awati1, Nagesh Suryawanshi2 1,2Department of Civil Engineering, Rajarambapu Institute of Technology, Rajaramnagar Sakharale, Maharashtra, 415414, INDIA -----------------------------------------------------------------------***------------------------------------------------------------------------ Abstract—The main aim of this study is to prioritize the main causes of cost overrun in construction projects. Sangli area is selected to collect the data. The collected data is then analyzed and compared to the actual budget the estimated cost to see the various causes of cost overrun. With the help of various workers such as Consultants contractors site engineers and others questionnaire is prepared to the various factors which causes Cost overrun. The study will show the main factors which results in cost overrun. In further projects this type of study he's going to help the project manager to work on various causes of cost overrun. Keywords—Cost overrun; Relative importance index; Factors of cost overrun; Relative important index 1. INTRODUCTION Cost is the major factor which is to be considered as one of the most important parameter of the project and he's also proven most construction projects fail to achieve its objectives the specific cost. Almost all the projects have been in construction industry have been affected by cost variation in frequent cases. Cost overrun differs from region to region and is also dependent on economic and geographic factors. Human resources are also related to Cost overrun in few cases. To identify and prioritize the major cause of cost overrun is the focus of this case study. This will help to reduce cost over similar projects. With the help of various workers such as architects and engineers a questionnaire is formed. These factors are ranked by Relative importance index. 2. METHODOLOGY: To achieve the objectives of the study the following activities have been conducted: 2.1 Questionnaire Design The questionnaire has been developed based on the literature findings & preliminary discussions with consultants, contractors & architects. To ensure maximum participation the questionnaire has been distributed to consultants, contractors/builders and Architects. The questionnaire response from consultants, contractor’s, builders and architects was collected first and then after studying their responses ranking has been done to causes of cost variation. The data collected has been presented, tabulated & analyzed using suitable statistical technique. Also a case study has been taken for study of causes of cost variation in construction industry. A discussion of the results is linked with findings of the literature and case- study, then cost variation were identified and ranked based on theirs severity. A conclusion of the major findings is stated & some recommendations are given to mitigate the salient problem.Selection of data collection technique. Personal interviews and desk study discussions were carried out and a questionnaire is formed. The questionnaire is prepared by honest and frank opinions as the respondents are not required to state their names. If interviews are conducted by the author then respondents and particularly contractors and consultants might not express their opinions frankly on the issues related to their clients. The causes of construction cost variation are too many to be covered in 30 minutes interview and the respondents might not have longer time to spend on longer interviews. The questionnaire is
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 798 Table.1 Category and weightage for the explanation designed carefully to obtain the required data from the respondent .The English language is chosen for the questionnaire as it suits all the respondents. The first category is the information about the respondent’s characteristics and their involvement in the building projects. The second one concerns respondent’s opinions on the cost variation faced. The first and second category of the questions is designed based on the respondent’s knowledge and the familiarity of the construction industry and the involvement. The questionnaire is kept as short as possible, but comprehensive enough, so that it could be completed within 20 to 30minutes. 2.2 Collection of causes Causes are collected from two sources-Literature survey (National & international journals and papers).First, an international literature survey was performed to create an initial pool of possible causes for cost variations in construction projects. This literature survey encompassed dozens of journal articles. Any potential cause for cost variations in construction mentioned. References had been added to the list. The literature survey yield sample number of potential causes. Discussion with guide and an expert practicing in this construction industry. In a parallel route local expert survey was carried out. The experts were not exposed to the previous findings of the international literature survey. Their answers pertained to the local, city-specific circumstances. This discussion yielded 36 potential causes. The first focus phase of this study consisted of categorizing, filtering duplications, and merging similar or closely related causes. Figure 1 shows Pie chart of the respondents involved in the questionnaire survey. The questionnaire is designed carefully to obtain the required data from the respond. The present status of construction industry with the help of literature review was used to form the questionnaire. Some questionnaires that are related to topic are reviewed and some questions that are found to be applicable to the construction industry were extracted from them. The main data required for this study is divided into two main categories. The first category is related to the information about the respondent’s characteristics and their involvement in the construction industry. It identifies the questions concerning the performance of the projects that respondents have been involved in number of the projects that respondent has participated in and in how much is the cost variance. From this amount of the cost variation is got.The second section includes cost variation causes that were collected earlier to which respondents give their opinions on the severity of certain causes of construction cost variation in building projects. This section contains 6 categories in which 36 cost variation causes are classified. For each factor, the respondents were requested to answer the severity impact of it cost. A six-point scale of 0 to 5 was considered for evaluating the 36 impact of each factor. These numerical impact values are assigned to the respondents rating 0: Never; 1: Less; 2: Sometimes; 3: Average; 4: Often; 5:Always 2.3 Questionnaire Content The questionnaire included 36 cost varying factors which are divided into six categories that are related to the factors of cost. Parts of the questionnaire are:  Factors related to finance Sr . N o. Catego ry Explanation Wei ght age 1. Never 0% cost variation contributing factor.(Not affected) 0 2. Less 1-20% cost variation contributing factor.(less affected) 1 3. Someti me 21-40% cost variation contributing factor.( slightly affected) 2 4. Aveage 41-60% cost variation contributing factor.(moderately affected) 3 5. Often 61-80% cost variation contributing factor.(significantly affected) 4 6. Always 81-100% cost variation contributing factor.(less affected) 5
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 799  Management factors  Factors related tolabour  Factors related tomaterial  Factors related toproject  Other factors(externalfactors) Scoring system and method of analysis. In the questionnaire, an Ordinal scale of measurements is applied for data measurements in questionnaire survey. Ordinal scale used for this study includes Never; Less; Sometimes, Average, Often and Always. However, abbreviation replaced with numbers i.e. 0 for never(0%) ; 1 for less (1-20%) ; 2 for sometimes (21-40%); 3 for average (41-60%); 4 for often (61-80%) ; 5 for always (81-100%). In the study Relative Important index (RII) have been employed and calculated for ranking of causes of cost variation in the construction project. The RII is used to rank the different causes. These rankings make it possible to cross-compare the relative importance of the factors as perceived by the two groups of respondents (i.e. owner and contractors).Following formula is used for the calculating the Relative Importance Index (RII) for different causes W= Score given to each cause by respondent ranges from 0 to 5 (where 0 is not affected and 5 is extremely affected.) A= Highest Score i.e. 5 in this case N= Total No. of respondents Table 2. Total no of respondents. Participants in questionnaire survey are Fig.1 Pie chart of total participants. Fig shows pie chart which indicates .Total 40 participants were there, in which 8 of them were architects, 16 were builders and remaining 16 were contractors. Fig.2 Experience of Participants. Majorly participants have the experience of more than 15 years, they are highly experienced. So the result obtainted Participants Contractor 16 Builder 16 Architect 8 0 1 2 3 4 5 6 7 8 9 Below 5 yrs 5 yrs - 15 yrs 15 yrs - 25 yrs Above 25 yrs Contractor Builder Architect Description No. of respondents Architects 8 Contractors 16 Builders 16 Total 40
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 800 is much more accurate. There are less chances of error. Fig.3 Different scale projects respondents worked. Majorly the respondents have worked in bigger projects. In large scale projects, different types of cost variance can be observed. So chances of error is less. Content validity and reliability test has been found by using IBM SPSS statistics data analysis software. Fig. 4 SPSS data inputs value. Fig. 5 Cronbach’s Alpha value in SPSS 1. Result and discussion Table 3. Ranking of factors according to RII value Sr. No Factor RII Ran k 1 Liquidity of organization 0.849 1 2 Site characteristics 0.839 2 3 Taxes and interest rates 0.774 3 4 Predetermined underestimations 0.715 4 5 Cost of rework 0.672 5 6 Project size 0.602 6 7 Quality of finishing 0.581 7 8 Project location 0.581 8 9 Design changes 0.565 9 10 Transportation material 0.548 10 11 Damage 0.538 11 12 Project type 0.532 12 13 Demand and supply 0.522 13 14 Inappropriate contractors 0.511 14 15 Storage of material 0.511 15 16 Mistakes in construction 0.505 16 17 Construction equipment 0.505 17 18 Unexpected ground condition 0.505 18 19 Inflation 0.489 19 0 1 2 3 4 5 6 7 >25 lakhs 25 -50 lakhs 50lakhs - 1cr >2 cr
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 801 20 Shortage of material 0.457 20 21 Number of stories 0.457 21 22 Unavailability of competent staff 0.446 22 23 Disputes 0.446 23 24 Forms of procurement 0.446 24 25 Health and safety cost 0.435 25 26 Land cost 0.430 26 27 Incentives 0.409 27 28 Construction management 0.403 28 29 Absenteeism rate 0.382 29 30 Inspection and testing 0.349 30 31 Time needed to rectify defects 0.349 31 32 Number of workers 0.339 32 33 Force majeure 0.339 33 34 Labour strikes 0.317 34 35 Items manufactured offsite 0.306 35 36 Deflation 0.296 36 So the top four categories which causes cost variation are liquidity of organization, site characteristics, taxes and interest rates and predetermined underestimations. One of the important scopes of asset liablity is management of liquidity risk, measuring and managing liquidity needs are vital for effective operation of banks and financial institution. More time should be given. Proper planning should be done to reduce the variance in liquidity of organization. Proper surveying and site inspection should be done in ordered to recuce cost variance in site characteristics .The required formation level or the depth of the excavation level should be properly checked with reference to gate level recommendation with help of city engineer. The soil report should be properly checked. Various ratios and various terms should be checked to redue the variance in taxes and interest rates such as, statement of profitability, projected Balance sheet, cash flow statements, partners capital, loan from the bank liquidity ratio, loan to value ratio profitablity ratio. To reduce the cost variance in predetermined underestimation, instead of analogous estimation, generally go for parametric estimation. Even the use of Three point estimation will help. In Three point estimation, instead of 1, take average of three estimates. Bottom –up estimation also gives accurate results. 3. CONCLUSION From the study conducted and by analyzing the feedback of the respondents it can be concluded that that liquidity of organization, taxes and interest rates, site characteristics and Predetermined underestimations are major factors impacted on cost variation of the construction project. So it is suggested to focus on this main factors so as to avoid cost variation in the construction of new project. FUTURESCOPE The study done was limited up to area in Sangli and Kolhapur district. Further study can be done by increasing the area. It may lead to an increase in the variations in project cost and other rates in construction industry. ACKNOWLEDGMENT We would like to thank and acknowledge the K.E. Society’s Rajarambapu Institute of Technology, Sangli for all kinds of supports for the project. REFERENCES [1] Tejale Dhanashree S., (2015),"Analysis of Construction Project Cost Overrun by Statistical Method”, International Journal of Advance Research in Computer Science and Management Studies Vol.3, No.5,pp.(349-355) [2] Tien-Choon Toha, Connie Tingb, Kherun-Nita Alic, Godwin-Uche Aliaghad and Omar Munira,(2012)," Critical Cost Factors Of Building Construction Projects In Malaysia". Proceedings of International Conference on Asia Pacific Business Innovation and Technology Management, Malaysi. Vol.55,pp.(360- 367) [3] Alin Veronika, Leni S Riantiniand and Bambang Trigunarsyah (2006),"Corrective Action Recommendation for Project Cost Variance in Construction Material Management" Proceedings of the Tenth East Asia-Pacific Conference on Structural Engineering and Construction, Thailand,Vol.5, pp. (23-28) [4] Daniel Okpala C .and Aniekwu Anny N., (1988),“Causes of High Costs of Construction in Nigeria”,Journal of Construction Engineering and Management Vol. 114, No. 2, pp. (233-244) [5] Mhando Yusuph B., Mlinga Ramadhan S. and Alinaitwe Henry M.(2015),"Factors Influencing Variations in Public Building Projects ". Proceedings of 4th Construction Management Conference Department of Construction Management, South Africa" pp.(162-176) [6] Prajapati Santosh kumar ,Gupta Rakeshand Pandey Mukesh, (2016)," Causes and Effects of Cost Overrun on Construction Projects in Madhya Pradesh".
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 02 | Feb 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 802 International Journal of Engineering Development and Research Vol.4,No.2, pp.( 1346-1350) [7] Devi Vaishnavi S., (2017),“ Cost Escalation in Construction Projects”, International Journal for Research in Applied Science & Engineering, Vol. 5, No. 1, pp. 271-277 [8] Jansu Ann Jose and Xavier Belarmin C.S., (2015), “Analysis of Time and Cost Overrun in Building Construction”, Proceedings of International conference on recent advances in engineering science and management, New Delhi, pp. 305-311 [9] Shete Anant Narayan and Kothawade Vaibhav Durwas, (2016),“An Analysis of Cost Overruns and Time Overruns of Construction Projects in India”, International journal of Engineering Trends and technology,Vol.41, No.1, pp. 33-36 [10] Surabattuni Murali and Sanjeet Kumar, (2019), “ Factors Affecting Overruns Construction Time and Cost”, International Jouranl of Recent Technology and Engineering”, Vol.7,Issue.6C2 [11] Salim S. Mulla and Ashish P. Waghmare, (2015), “Influencing factors caused for Time and Cost Overruns in Construction Projects in Pune-India and their Remedies”, International Journal of Innovative Science, Engineering and Technology. Vol.2 Issue10 [12] Yong-Woo Kim and Glenn Ballard,(2002),“Case Study- overhead cost analysis”, Journal of Construction Engineering and Management Vol. 12, No. 3, pp. (125-135) [13] Laila M. Khodeir and Alaa El Ghandour (2019)), “Examining the role of value management in controlling cost overrun”, Ain Shams Engineering Journal [14] Osamu Mizuno and Tohru Kikun(2000),“Statistical Analysis of Deviation of Actual Cost from Estimated Cost Using Actual Project Data”, Graduate School of Engineering Science, Osaka University pp.(1-9) [15] Agata Czarnigowska (2008),“Earned Value method as a tool for project control”, Institute of Construction, Lublin University of Technology