Study of Factors Affecting in Construction Costs

DOI : 10.17577/IJERTV4IS060926

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  • Authors : Deepshikha Soni, Dr.Keerti.K Chowdhary, Mr.Yogesh Iyer Murthy
  • Paper ID : IJERTV4IS060926
  • Volume & Issue : Volume 04, Issue 06 (June 2015)
  • DOI : http://dx.doi.org/10.17577/IJERTV4IS060926
  • Published (First Online): 22-06-2015
  • ISSN (Online) : 2278-0181
  • Publisher Name : IJERT
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Study of Factors Affecting in Construction Costs

Deepshikha Soni Student

IES IPS ACADEMY INDORE

Indore (M.P.), India

Mr.Yogesh Iyer Murthy Associate Professor

IES IPS ACADEMY INDORE

Indore (M.P.), India

Dr. Keerti. K. Chowdhary Associate Professor

IES IPS ACADEMY INDORE

Indore (M.P.), India

Abstract -The Construction industry in India has gone through very dramatic fluctuations, since the late 20s due to the near completion of huge infrastructure projects and also due to requirement of development of India in Different manner with a great speed construction. The demand for more construction of all types, coupled with a tight monetary supply, provide the construction industry with a bigger challenge to cut costs.

This research discusses the main factors that affect the construction cost in India. A survey in North India sides was conducted which included 15 contractors, 10 consultants, and 5 owners. This survey resulted in finding out 38 major factors which affect the construction cost in India. The Severity of those factors measured by the level of importance and ranked according to the severity index of the contractors, consultants and owners indicated that material cost, incorrect planning, previous experience of the contract, contract management and poor financial control on site are the most severe factors.

KeywordsSeverity index ,Spearmans rank correlation, Relative Index.

INTRODUCTION

In now a days construction delays are becoming common problems in civil engineering projects. There are some factors which affects construction cost in Tikamgarh district. There are 38 factors which are identified by literature review and direct interview of consultant, contractor and owner/client. These 38 factors are divided into 5 major groups .The 5 major groups are as follows:-

  • Environmental factors (A)

  • Construction parties related factors (B)

  • Construction items related factors (C)

  • Cost Estimating factors (D)

  • Financing factors (E)

    There are total 38 factors which are considered. The factors have individually given names to avoid confusion. The contractor, consultant and client or owners are involved while ranking all these factors according to severity index.

    1. Environmental factors (A) This is one of the major factors which affects the construction cost. This factor is divided into eleven (11) divisions. The sub-division of environmental factor are as follows.

    1. Effects of weather (A1)

    2. Number of construction going on at the same time (A2)

    3. Social and cultural impacts (A3)

    4. Project location (A4)

    5. Lack of productivity standard in India (A5)

    6. Level of competitors (A6)

    7. Number of competitors (A7)

    8. Supplier manipulation (A8)

    9. Economic Stability (A9)

    10. Inadequate production of raw materials by the country (A10)

    11. Government policies (law and regulations) (A11)

    2. Construction parties related factors (B) This is a second major factor which affects the construction cost. This factor is divided into six (6) divisions. The subdivision of construction parties related factors are as follows.

    1. Incorrect planning (B1)

    2. Relationship between management and labor (B2)

    3. Lack of coordination between designers and contractors (B3)

    4. Poor financial control on site (B4)

    5. Previous experience of contract (B5)

    6. Disputes on sites (B6)

    3. Construction items related factors (C) This is a third major factor which affects the construction cost. This factor is divided into seven (7) divisions. The subdivisions of this factor are as follows.

    1. Fraudulent practices and kickbacks (C1)

    2. Contract management (C2)

    3. Additional work (C3)

    4. Duration of contract period (C4)

    5. Contractual procedure (C5)

    6. Frequent design changes (C6)

    7. Inadequate labor availability (C7)

    4. Cost estimating factors (D)-This is a fourth major factor which affects the construction cost. This factor is divided into twelve (12) divisions. The subdivisions of this factor are as follows.

    1. Cost of material (D1)

    2. Fluctuation of prices (D2)

    3. High cost of labor (D3)

    4. High cost of machinery (D4)

    5. High cost of machinery maintenance (D5)

    6. High transportation cost (D6)

    7. Insurance cost (D7)

    8. High interest rates charged by banks on loans received by contractors (D8)

    9. Long period between design and time of tendering (D9)

    10. Bureaucracy in tendering method (D10)

    11. Waste on site (D11)

    12. Wrong estimation method (D12)

    5. Financing factors (E)-this is a fifth major factor which affects the construction cost. The factor is divided into two

    (2) main divisions. The subdivisions of this factor are as follows.

    1. Mode of financing, bonds and payment (E1)

    2. Inflationary pressure (E2)

    OBJECTIVE OF STUDY

    The main objective of this study includes the following:

  • To identify the factors affecting construction cost in Tikamgarh district.

  • To identify severity index (S.I) of the factors affecting in construction cost.

  • To identify ranking of the factors on the basis of severity index (S.I).

  • To see degree of agreement in the ranking by using Spearmans rank correlation.

    LITERATURE REVIEW

    Onyelowe Kennedy Chibuzor [1] (2011) mentioned index analysis of the causes of vehicular traffic congestion in south- eastern Nigeria. This analysis is carried out in two phases in first phase literature search and interview is carried out and 49 problems were identified. These problems were categories in 5 major groups. Now in second phase questionnaire is prepared and distributed to FRSC (Federal Road Safety Corps) staff, contractors and consultant. The result from survey was analyzed statistically and severity index was found out of every single problem and problems were ranked. The spearmans correlation is calculated to see the rank agreement between FRSC staff, contractors and consultant. Ghanim A.Bekr [2] (2014) did study for finding causes and magnitude of wastage of materials on construction sites in Jordan. The study is based on the opinion of contractors, consultants and owners/client. According to theoretical study more than 100 causes of wastage were collected .These 100 causes were categories in six groups. The causes were rank according to severity index (S.I), frequency index (F.I) and important index (II).Mohamed M.Marzouk [3] et al. (2013) conducted a survey in analyzing delay causes in Egyptian construction projects. There are 43 causes of delay project which are divided into main 7 groups. The respondents are owners/client, contractors and consultants are used to determine the frequency of occurrence of each cause and severity index (S.I), frequency index (F.I) and important index is calculated and ranking is provided to a delay causes. The statistical analysis is also done to see relationship between ranking of each delay causes. Ibrahim Mahamid [4] (2014) did study in micro and macro level of dispute causes in residential building projects in Saudi Arabia. The research was done to identify direct and indirect disputes. The ranking of disputes is done on the basis of seveity index and statistical analysis is done.Remon Fayek Aziz [5] (2013) conducted a survey in Egypt and found out the ranking of factors which cause delay in construction projects after Egyptian revolution. To achieve objective of the, survey is performed and 99 factors were short listed for the questionnaire survey and it is divided mainly in 9 groups. The data were analyze by using RII (Relative importance index)

    and ranking of factors was done on the basis of RII.The priority rule formula is used as ERII (Equivalent weighted average percentage, DC (Delay Coefficient), PAD (Predicted actual duration and PSD (Planned schedule duration) was calculated.G.N.Ezeh [6] et al. (2013) in South Eastern Nigeria did study on the severity index analysis of the problems of optical fiber communication in Nigeria. The survey was conducted and 17 problems were observed and it is divided into 4 major groups. The severity index of each problem was calculated and ranking is done of all the problems.Aswathi R

    [7] et al. (2013) mentioned a delay causes in railway construction project in India and their impact. A case study is done on the doubling track project between Chengannur and Mavelikkara.The survey was performed and delay factors are

    considered and ranking them according to S.I (severity index), F.I (frequency index and II (important index).Shadab Motamedi [8] (2014) in Iran conducted a survey on time delay risk in construction project. There were 26 delay factors which are recognized by literature review. These factors are ranked according to S.I (severity index), F.I (frequency index), II (important index) and correlation is found out between a rank given by contractor, consultant and owner.Desai Megha [9] et al. (2013) provided a methodology for ranking of causes of delay for residential construction projects in India. On the basis of survey and literature review there are 59 factors of cost delay which are divided in 7 main groups. The S.I (severity index), F.I (frequency index), II (important index) of delay factors was calculated and ranking provided and Spearmans rank correlation is also calculated for best rank agreement between different groups.Megha Desai [10] et al. (2013) mentioned critical causes of delay in residential construction projects in central Gujarat region. A case study was identified of 59 causes in 7 major groups and

    50 respondents views are considered. The severity index (S.I), frequency index (F.I), important index (II) of factors are calculated and ranking is done. To see the best rank agreement between parties spearmans correlations was calculated.

    RESEARCH METHODOLOGY

    The indices comes under the research methodology, actually there are two stages of methodology at present scenario.

    1. In first stage this includes literature review and practical interviews. The literature was taken from internet, book of particular subject, articles, conference etc.In this paper outcome of this phase is

      38 factors which affect the construction cost at Tikamgarh district. These 38 factors are divided into 5 major groups.

      • Environmental factors (A)

      • Construction parties related factors (B)

      • Construction items related factors (C)

      • Cost Estimating factors (D)

      • Financing factors (E)

    2. The second stage includes in which two types of questionnaire will be prepared on two different approaches, which will be used for giving ranking to factors affecting construction cost in Tikamgarh district.

    There are two different methods for ranking the factors affecting in construction cost are as follows:-

  • In first method Relative importance index (RII) of each factor can be calculated.

  • In second method important index is calculated as a function of frequency and severity indices.

Importance index technique:-

This is a technique in which for each factor two questions were asked:

  1. What is the frequency of occurrence for this factor?

  2. What is the degree of severity of this factor affecting construction cost?

Analysis using severity index: Severity index: A formula is used to rank factors affecting construction cost based on severity as indicated by the participants (contractors, consultants and owner/client).

Total no. of respondents =20

Where, Total no. of consultant = 5, Total no. of contractor

=10 and Total no. of owner =5.

The respondents (20) were given four (4) rating options are as follows:

  1. Strongly severe

  2. Moderately severe

  3. Slightly severe

  4. Non severe

From above four (4) options, respondents have to select one option based on their judgment of the severity of the problem. The severity index (S.I) of each of the problem was calculated as (Mendenhall et al., 2009).

Severity Index= i=1 i=4 (aixi ) X 100%

3 i=1 i=4 xi

SPEARMANS RANK CORRELATION COEFFICIENT

Professor Charles Spearman developed a method to find the correlation .This method is much easier as compared with Karls Pearson method. This method is called Spearmans Rank Difference Method. In this method the knowledge of values of different terms of a series is not necessary but the method is applicable if we only know the ranks of different terms corresponding to their values. The top value is assigned rank 1, the second rank 2, and the third rank 3 and so on.

It is given by r = 1 – 6d^2 or r=1-

n (n^2-1) n(n^2-1) Where di=difference in ranks of ith paired items in two series.

n = number of individuals.

In the above formula r is called Spearmans Coefficient of rank correlation or simply rank correlation coefficient.

Remark 1.If two individual values are equal i.e. if ties occur, and then they are assigned the average of the ranks they would have received if they had differed slightly. Therefore, if two items are tied for the 5th rank, each will be assigned the rank ½ (5+6) =5.5.

Remark 2. Rank correlation coefficient lies between -1 and

+1 including both the values.

Results Analysis:

  1. Close to -1=negative correlation

  2. Close to 0=no linear correlation

  3. Close to +1=positive correlation Here,

R1= consultant R2=contractor R3=owner/client

RESULT

r 1,2=0.891

r 2,3=0.93

r 3,1=0.835

Where, ai = constant expressing the weight given to the ith response, and ai = 0, 1, 2, 3 for i =

r 1,2

=0.891,shows there is a positive correlation between

1,2,3,4.

a1 = 0 is equivalent to non severe.

a2 = 1 is equivalent to slightly Severe. a3 = 2 is equivalent to moderately severe a4 = 3 is equivalent to most severe.

Xi = variable expressing the percentage frequency for the degree of importance of

each factor where,

X1 = percentage of frequency of non severe responses.

X2 = percentage of frequency of slightly severe responses. X3 = percentage of frequency of moderately severe responses.

X4 = percentage of frequency of most severe responses.

consultant and contractor.

r 2,3=0.93,shows there is a positive correlation between contractor and owner/client.

r 3,1=0.835,shows there is a positive correlation between owner/client and consultant.

Table No.1 Representing severity index (S.I) (%) of factors affecting in construction cost.

Table No.2 Representing ranking of factors affecting in construction cost.

30

Consultant

Contractor

Client/Owner

Factors

S.I

(%)

Factors

S.I (%)

Factors

S.I (%)

A1

55

A1

63.33

A1

80

A2

20

A2

A2

33.33

A3

5

A3

16.66

A3

6.66

A4

45

A4

33.33

A4

33.33

A5

40

A5

30

A5

16.66

A6

40

A6

30

A6

16.66

A7

50

A7

33.33

A7

16.66

A8

55

A8

33.33

A8

16.66

A9

70

A9

90

A9

80

A10

50

A10

43.33

A10

26.66

A11

75

A11

66.66

A11

86.66

B1

85

B1

93.33

B1

93.33

B2

70

B2

83.33

B2

93.33

B3

60

B3

80

B3

93.33

B4

75

B4

43.33

B4

40

B5

95

B5

90

B5

86.66

B6

45

B6

36.66

B6

33.33

C1

35

C1

23.33

C1

13.33

C2

75

C2

63.33

C2

66.66

C3

25

C3

30

C3

33.33

C4

75

C4

56.66

C4

60

C5

70

C5

60

C5

66.66

C6

80

C6

76.66

C6

73.33

C7

50

C7

53.33

C7

33.33

D1

100

D1

96.66

D1

100

D2

75

D2

80

D2

93.33

D3

60

D3

63.33

D3

53.33

D4

55

D4

63.33

D4

53.33

D5

55

D5

63.33

D5

53.33

D6

50

D6

63.33

D6

53.33

D7

20

D7

10

D7

13.33

D8

60

D8

46.66

D8

26.66

D9

80

D9

83.33

D9

66.66

D10

50

D10

30

D10

33.33

D11

10

D11

6.66

D11

13.33

D12

95

D12

93.33

D12

86.66

E1

45

E1

26.66

E1

20

E2

35

E2

23.33

E2

20

Consultant

Contractor

Client/Owner

Factors

S.I (%)

Rank

S.I (%)

Rank

S.I (%)

Rank

A1

55

18

63.33

12

80

9

A2

20

36

30

28

33.33

21

A3

5

38

16.66

36

6.66

38

A4

45

28

33.33

25

33.33

22

A5

40

31

30

29

16.66

31

A6

40

30

30

30

16.66

32

A7

50

26

33.33

26

16.66

33

A8

55

21

33.33

27

16.66

34

A9

70

14

90

4

80

10

A10

50

25

43.33

22

26.66

27

A11

75

10

66.66

11

86.66

6

B1

85

4

93.33

2

93.33

2

B2

70

13

83.33

6

93.33

3

B3

60

17

80

8

93.33

4

B4

75

11

43.33

23

40

20

B5

95

3

90

5

86.66

7

B6

45

27

36.66

24

33.33

23

C1

35

32

23.33

35

13.33

35

C2

75

9

63.33

13

66.66

12

C3

25

34

30

32

33.33

24

C4

75

8

56.66

19

60

15

C5

70

12

60

18

66.66

13

C6

80

5

76.66

10

73.33

11

C7

50

24

53.33

20

33.33

25

D1

100

1

96.66

1

100

1

D2

75

7

80

9

93.33

5

D3

60

16

63.33

14

53.33

16

D4

55

20

63.33

15

53.33

17

D5

55

19

63.33

16

53.33

18

D6

50

23

63.33

17

53.33

19

D7

20

35

10

37

13.33

36

D8

60

15

46.66

21

26.66

28

D9

80

6

83.33

7

66.66

14

D10

50

22

30

31

33.33

26

D11

10

37

6.66

38

13.33

37

D12

95

2

93.33

3

86.66

8

E1

45

29

26.66

33

20

29

E2

35

33

23.33

34

20

30

B3

17

8

4

9

81

4

16

– 13

169

B4

11

23

20

– 12

144

3

9

9

81

B5

3

5

7

-2

4

-2

4

4

16

B6

27

24

23

3

9

1

1

-4

16

C1

32

35

35

-3

9

0

0

3

9

C2

9

13

12

-4

16

1

1

3

9

C3

34

32

24

2

4

8

64

– 10

100

C4

8

19

15

– 11

121

4

16

-7

49

C5

12

18

13

-6

36

5

25

1

1

C6

5

10

11

-5

25

1

1

6

36

C7

24

20

25

4

16

-5

25

1

1

D1

1

1

1

0

0

0

0

0

0

D2

7

9

5

-2

4

4

16

-2

4

D3

16

14

16

2

4

-2

4

0

0

D4

20

15

17

5

25

-2

4

-3

9

D5

19

16

18

3

9

-2

4

-1

1

D6

23

17

19

6

36

-2

4

-4

16

D7

35

37

36

-2

4

1

1

1

1

D8

15

21

28

-6

36

-7

49

13

169

D9

6

7

14

-1

1

-7

49

8

64

D10

22

31

26

-9

81

5

25

4

16

D11

37

38

37

-1

1

1

1

0

0

D12

2

3

8

-1

1

-5

25

6

36

E1

29

33

29

-4

16

4

16

0

0

E2

33

34

30

-1

1

4

16

-3

9

1000

648

1516

Table No.3 Represents Spearmans rank correlation coefficient

Spearman rank correlation

R1

R2

R3

x- y

y-z

z-x

f

x

y

z

d1

d1^2

d2

d2^2

d3

d3^2

A1

18

12

9

6

36

3

9

-9

81

A2

36

28

21

8

64

7

49

– 15

225

A3

38

36

38

2

4

2

4

0

0

A4

28

25

22

3

9

3

9

-6

36

A5

31

29

1

2

4

2

4

0

0

A6

30

30

32

0

0

-2

4

2

4

A7

26

26

33

0

0

-7

49

7

49

A8

21

27

34

-6

36

-7

49

13

169

A9

14

4

10

10

100

-6

36

-4

16

A10

25

22

27

3

9

-5

25

2

4

A11

10

11

6

-1

1

5

25

-4

16

B1

4

2

2

2

4

0

0

-2

4

B2

13

6

3

7

49

3

9

– 10

100

REFERENCES

  1. Onyelowe Kennedy Chibuzor, Index Analysis of the Causes of Vehicular Traffic Congestion in South Eastern Nigeria,Journal of Emerging Trends in Engineering and Applied Sciences,2011,925-933.

  2. Ghanim A.Bekr, Study of the Causes and Magnitude of Wastage of Materials on Construction Sites in Jordan, Journal of Construction Engineering, Volume 2014.

  3. Mohammed M.Marzouk, Analyzing delay causes in Egyptian construction projects, Journal of Advance Research (2014) 5, 49-55.

  4. Ibrahim Mahamid, Micro and macro level of dispute causes in residential building projects: Studies of Saudi Arabia, Journal of King Saud University-Engineering Science (2014).

  5. Remon Fayek Aziz,Ranking of delay factors in construction projects after Egyptian revolution, Alexandria Engineering Journal (2013) 52,387-406.

  6. G.N.Ezeh, Severity index analysis of the problems of optical fiber communication in Nigeria, Part=II: Natural and Applied Science, Vol.4 No.1, 2013.

  7. Aswathi R, Development of a delay analysis System for a railway construction project, International Journal of Innovative Research in Science, Engineering and Technology (2013).

  8. Shadab Motamedi, Identification, Evaluation and Classification of Time Delay Risks of Construction Project in Iran, International Conference on Industrial Engineering and Operations Management, 2014.

  9. Desai Megha, A methodology for ranking of causes of delay for residential construction projects in India context, Inernational Journal of Emerging Technology and Advanced Engineering,Vol 3,2013.

  10. Megha Desai, Critical causes of delay in residential construction projects, Inernational Journal of Engineering Trends and Technology, Vol 4, 2013.

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