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Journal of International
Academic Research for Multidisciplinary
ISSN 2320 -5083
A Scholarly, Peer Reviewed, Monthly, Open Access, Online Research Journal
Impact Factor – 1.393
VOLUME 1 ISSUE 11 DECEMBER 2013
A GLOBAL SOCIETY FOR MULTIDISCIPLINARY RESEARCH
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A GREEN PUBLISHING HOUSE
Editorial Board
Dr. Kari Jabbour, Ph.D
Curriculum Developer,
American College of Technology,
Missouri, USA.
Er.Chandramohan, M.S
System Specialist - OGP
ABB Australia Pvt. Ltd., Australia.
Dr. S.K. Singh
Chief Scientist
Advanced Materials Technology Department
Institute of Minerals & Materials Technology
Bhubaneswar, India
Dr. Jake M. Laguador
Director, Research and Statistics Center,
Lyceum of the Philippines University,
Philippines.
Prof. Dr. Sharath Babu, LLM Ph.D
Dean. Faculty of Law,
Karnatak University Dharwad,
Karnataka, India
Dr.S.M Kadri, MBBS, MPH/ICHD,
FFP Fellow, Public Health Foundation of India
Epidemiologist Division of Epidemiology and Public Health,
Kashmir, India
Dr.Bhumika Talwar, BDS
Research Officer
State Institute of Health & Family Welfare
Jaipur, India
Dr. Tej Pratap Mall Ph.D
Head, Postgraduate Department of Botany,
Kisan P.G. College, Bahraich, India.
Dr. Arup Kanti Konar, Ph.D
Associate Professor of Economics Achhruram,
Memorial College,
SKB University, Jhalda,Purulia,
West Bengal. India
Dr. S.Raja Ph.D
Research Associate,
Madras Research Center of CMFR ,
Indian Council of Agricultural Research,
Chennai, India
Dr. Vijay Pithadia, Ph.D,
Director - Sri Aurobindo Institute of Management
Rajkot, India.
Er. R. Bhuvanewari Devi M. Tech, MCIHT
Highway Engineer, Infrastructure,
Ramboll, Abu Dhabi, UAE
Sanda Maican, Ph.D.
Senior Researcher,
Department of Ecology, Taxonomy and Nature Conservation
Institute of Biology of the Romanian Academy,
Bucharest, Romania
Dr. Reynalda B. Garcia
Professor, Graduate School &
College of Education, Arts and Sciences
Lyceum of the Philippines University
Philippines
Dr.Damarla Bala Venkata Ramana
Senior Scientist
Central Research Institute for Dryland Agriculture (CRIDA)
Hyderabad, A.P, India
PROF. Dr.S.V.Kshirsagar, M.B.B.S,M.S
Head - Department of Anatomy,
Bidar Institute of Medical Sciences,
Karnataka, India.
Dr Asifa Nazir, M.B.B.S, MD,
Assistant Professor, Dept of Microbiology
Government Medical College, Srinagar, India.
Dr.AmitaPuri, Ph.D
Officiating Principal
Army Inst. Of Education
New Delhi, India
Dr. Shobana Nelasco Ph.D
Associate Professor,
Fellow of Indian Council of Social Science
Research (On Deputation},
Department of Economics,
Bharathidasan University, Trichirappalli. India
M. Suresh Kumar, PHD
Assistant Manager,
Godrej Security Solution,
India.
Dr.T.Chandrasekarayya,Ph.D
Assistant Professor,
Dept Of Population Studies & Social Work,
S.V.University, Tirupati, India.
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292
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A STUDY ON READY MIXED CONCRETE USING INDEPENDENT SAMPLE T-TEST
THROUGH SPSS SOFTWARE IN CHAROTAR REGION OF CENTRAL GUJARAT
CHIRAG R. PARMAR*
ASHISH H. MAKWANA**
JAYESHKUMAR PITRODA***
JAYDEV J. BHAVSAR****
*Final Year B. E. Civil Engg., B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India
**Final Year M.E. C. E. & M., B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India
***Assistant Professor & Research Scholar, Dept. of Civil Engg. B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India
****Associate Professor, Dept. of Civil Engg. B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India
ABSTRACT
The Indian Construction industry has been traditionally labour oriented. The pace of
mechanization in the past was very slow due to the availability of cheap and abundant labour,
lack of capital investment and highly fragmented nature of the construction sector. The Ready
Mixed Concrete is a dynamic resource for the construction industry, which must periodically
re-evaluate its position in relation to the economy, the nation, local industry, and especially
with the customer. Highly-developed economies bring changes in market conditions. A
change which has been occurring is the change from a product to a service-related market.
This change occurs earlier in mass consumer products and lags behind in more static products
like those in the construction industry. This conversion from product to service is taking
place now in the construction industry. The Ready Mixed Concrete Industry has traditionally
made its profit for Infrastructural development. Objective of this research paper is to prove
that Ready Mixed Concrete utilization is beneficial compare to Conventional Mixed Concrete
in Charotar Region of Central Gujarat. During this research work various factors interrelated
to Ready Mixed Concrete are being identified and converted into questionnaire to carry out
surveys. Software like Microsoft Excel and SPSS Statistics (Statistical Package for the Social
Sciences) are adopted to evaluate the responses collected from the people by Independent-
Samples T Test.
KEYWORDS: Ready Mixed Concrete, Construction Industry, Market Conditions,
Infrastructural Development, Management
INTRODUCTION
Ready Mixed Concrete (RMC) is a ready-to-use concrete, with predetermined mixture of
cement, aggregates, additives and water. It is manufactured in a centrally located factory
(Batching plant) according to a set recipe or as per specifications of the client. It is then
JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY
Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013
293
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delivered to the client’s worksite, often in special trucks (Transit mixer) capable of mixing
the ingredients of the concrete. This results in a precise mixture, allowing specialty concrete
mixtures to be developed and implemented on construction sites.
RMC is preferred to on-site concrete mixing because of the precision of the mixture and
reduced worksite confusion. It facilitates speedy construction through programmed delivery
at site and mechanized operation with consequent economy. It also decreases labour, site
supervising cost and project time, thereby resulting in savings, proper control and economy in
the use of raw materials. It assures consistent quality through accurate computerized control
of aggregates and water as per mix designs. It minimizes cement wastage due to bulk
handling and there is no dust problem and therefore, pollution-free.
Ready Mixed Concrete is a modern technique of production of concrete in large quantities
away from the actual site of placing. It is very useful in cities where demand of concrete is
very high and construction sites are in congested areas, where mixing on site is not possible.
The Supervisory and labour costs associated with production of RMC is less, and the quality
of concrete is high. It is suitable for huge industrial and residential projects where time plays
a vital role.
Fig. 1: Modern Ready Mixed Concrete Plant
(Source: Dharti RMC Pvt Ltd., Anand-Sojitra Road, Near Sunav, At & Po. Sunav, Ta.
Petlad, Dist. Anand)
LITERATURE REVIEW
This method of mixing concrete was first invented and patented by Germans more than 100
years ago in 1903. But for a few years this method did not become popular as there was no
suitable method of transporting the concrete to construction sites. The first commercial
delivery of concrete was made in 1913 in Baltimore, USA using a small drum type transit
mixer and the first ready mix concrete plant was set up at Heathrow airport site in London in 1931.
The Ready mix concrete business in India is still in its infancy; where as in developed
countries, nearly 80% of cement consumption is in the form of ready mix concrete and 20%
in the form of recast. In India, ready mix concrete accounts for less than 5% of consumption,
JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY
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294
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and as much as 82% of cement consumption is in the form of site-mixed concrete. While
70% of cement produced in a developed country like Japan is used by RMC business, in
India, only around 2% of total cement production is used by RMC.At the present, the cost
differential between Ready-mixed concrete and site mixed concrete is proving major
constraint in its growth. This problem will be resolved with the increasing awareness about
the advantages of RMC by the end consumers.
ABOUTINDEPENDENT SAMPLE T-TEST
The Independent-Samples T Test procedure compares means for two or more groups of
cases. Ideally, for this test, the subjects should be randomly assigned to two groups, so that
any difference in response is due to the treatment and not to other factors. This is not the case
if you compare average income for males and females. A person is not randomly assigned to
be a male or female. In such situations, you should ensure that differences in other factors are
not masking or enhancing a significant difference in means. Differences in average income
may be influenced by factors such as education. In the calculation of Independent-samples T
TEST, replacing calculated value greater than null hypothesis value with a plus sign and each
small value less then null hypothesis value with a minus sign.
Null hypothesis (H0) - Ready Mixed Concrete utilization is beneficial compare to
Conventional Mixed Concrete in Charotar Region of Central Gujarat. (α 0.05)
Alternative hypothesis (H1) - Ready Mixed Concrete utilization is not beneficial compare to
Conventional Mixed Concrete in Charotar Region of Central Gujarat. (α> 0.05)
INDEPENDENT-SAMPLES T TEST DEFINE GROUPS
For numeric grouping variables, define the two groups for the T test by specifying two values
or a cut point:
 Use specified values: Enter a value for Group 1 and another value for Group 2. Cases
with any other values are excluded from the analysis. Numbers need not be integers
(for example, 6.25 and 12.5 are valid).
 Cutpoint: Enter a number that splits the values of the grouping variable into two sets.
All cases with values that are less than the cutpoint form one group, and cases with
values that are greater than or equal to the cutpoint form the other group.
For string grouping variables, enter a string for Group 1 and another value for Group 2, such
as yes and no. Cases with other strings are excluded from the analysis.
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INDEPENDENT-SAMPLES T TEST OPTIONS
Confidence Interval: By default, a 95% confidence interval for the difference in means is
displayed. Enter a value between 1 and 99 to request a different confidence level.
Missing Values: When you test several variables, and data are missing for one or more
variables, you can tell the procedure which cases to include (or exclude).
 Exclude cases analysis by analysis. Each t test uses all cases that have valid data for
the tested variables. Sample sizes may vary from test to test.
 Exclude cases list wise. Each t test uses only cases that have valid data for all
variables that are used in the requested t tests. The sample size is constant across tests.
DATA ANALYSIS AND INTERPRETATION
Table 1: Independent-Samples T Test
Level of
significance
(α)
Values of Criterion details Result Hypothesis
Calculated Tabulated
PART1: a] Material and Equipment cost; b] Staff and their Salary; c] Labours and their wages; d]
Ready Mixed Concrete Plant with capital Investment and Production; e] various concrete grade cost”
- Data analysis and interpretation regarding RMC Plant Manager point of view:
1: Cost of OPC per Ton
0.05 0.572 1.701 Reject the null hypothesis
if (Calculated)> 1.313, the
value of for 29-1= 28
degree of freedom
Cannot
be
rejected
Accepted
2: Cost of Sand (per Ton)
0.05 2.299 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Not
Accepted
3: Cost of Aggregate (10 mm) per Ton
0.05 1.664 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
4: Cost of Aggregate (20 mm) per Ton
0.05 0.278 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
5: Cost of Fly ash (per Ton)
0.05 0.385 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
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296
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6: Cost of Superticizer (per lit.)
0.05 0.634 1.701 Reject the null hypothesis
if (Calculated)> 1.313, the
value of for 29-1= 28
degree of freedom
Cannot
be
rejected
Accepted
7: No. of Technical staff of RMC Plant
0.05 0.350 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
8: Salary of One Technical Person (per month) working at RMC plant
0.05 0.572 1.701 Reject the null hypothesis
if (Calculated)> 1.701, the
value of for 29-1= 28
degree of freedom
Cannot
be
rejected
Accepted
9: No. of Labours required for RMC plant
0.05 0.438 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
10: Wages of One Labour (per day) of RMC plant
0.05 0.253 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
11: Size of transit mixer used for RMC delivery to customer’s construction site
0.05 0.784 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
12: Maximum distance required for RMC delivery to customer’s construction site
0.05 0.819 1.701 Reject the null hypothesis if
> 1.701, the
value of for 29-1= 28
degree of freedom
Cannot
be
rejected
Accepted
13: Owning cost of RMC transit mixture
0.05 0.185 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
14: Operating cost of RMC transit mixture (capacity 8 cum.) per 25 km
0.05 0.319 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
15: Cost of pump used for placing of RMC
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0.05 1.007 1.701 Reject the null hypothesis
if (Calculated)> 1.701, the
value of for 29-1= 28
degree of freedom
rejected Accepted
16: Approx. production of RMC per day
0.05 0.766 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
17: Capital investment of RMC plant
0.05 0.226 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
18: Cost of M 10 grade RMC per cum.
0.05 0.014 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
19: Cost of M 15 grade RMC per cum
0.05 0.626 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
20: Cost of M 20 grade RMC per cum.
0.05 0.677 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
21: Cost of M 25 grade RMC per cum.
0.05 0.021 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
22: Cost of M 30 grade RMC per cum.
0.008 1.644 2.547 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
PART 2: “a] Delivery; b] Quality; c] Quantity; d] Testing; e] Supervision; f] Placement of RMC; g]
Application and Availability of RMC”:Data analysis and interpretation regarding Contractor
and Consultant point of view
23: Get RMC Delivery in proper time
0.05 0.599 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
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24: Get RMC in better Quality
0.05 0.467 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
25: Get RMC in required Quantity
0.05 2.036 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Not
Accepted
26: Testing of RMC
0.05 0.009 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
27: Supervision necessary at the time of placing of RMC
0.05 0.106 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
28: Problem while placing RMC in the Formwork
0.05 0.129 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
29: Any type of action preferred when RMC hardened before Placing
0.05 1.448 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
30: Possible to use RMC for small projects
0.05 0.739 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
31: Possible to use RMC in under water construction work
0.05 0.100 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
32: Type of response get from RMC plant Manager
0.05 0.500 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
33: Uniform size of aggregate used in RMC
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0.006 1.339 2.669 Reject the null hypothesis if
(Calculated)> 1.701, the value
of or 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
34: Wastage produced of RMC at the time of placing
0.05 0.395 1.701 Reject the null hypothesis if
(Calculated)> 1.313, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
35: Change in quality of RMC when mixing admixture
0.05 0.022 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
36: Availability of RMC in Charotar region
0.05 0.493 1.701 Reject the null hypothesis if
(Calculated)> 1.701, the value
of for 29-1= 28 degree of
freedom
Cannot
be
rejected
Accepted
CONCLUSIONS
Following conclusions are drawn of Ready Mixed Concrete by Independent - Samples T Test:
 In Independent-Samples T Test, 3 Categories (Ready Mixed Concrete plant manager,
Contractor, Consultant) are considered as a grouping variable and after the analysis
concluded that 94.44% variables are accepted at ≤ 5% level of significance ( ) and
5.56% variables are not accepted.
 So, Hypothesis (Ready Mixed Concrete utilization is beneficial compare to
Conventional Mixed Concrete in Charotar Region of Central Gujarat.) is successfully
proved by Independent-Samples T Test.
REFERENCES
1. A K Jain, India, “Ready-Mixed Concrete growth prospects in India”, Grasim Industries
Ltd,27th Conference on OUR WORLD IN CONCRETE & STRUCTURES: 29 - 30 August
2002, Singapore.
2. A.R.Santhkumar, “Concrete Technology”, Oxford higher education.
3. Ashish H. Makwana, Prof. Jayeshkumar Pitroda, “A Study on Region wise Price Variation of
Construction Raw Materials using Frequency Analysis through SPSS Software”, International
Journal of Engineering Trends and Technology (IJETT), Impact Factor 0.537, ISSN: 2231-
5381, Volume 4, Issue 7, July 2013, Pg. 3233 – 3242.
4. Bharat G. Bhudiya, Sanjay S. Narola, Ashish H. Makwana, Jayeshkumar Pitroda,
“Assessment on Autoclaved Aerated Concrete Blocks using Frequency Analysis through
SPSS software in Charotar Region of Central Gujarat”, Journal of International Academic
JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY
Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013
300
www.jiarm.com
Research for Multidisciplinary (JIARM), Impact Factor 1.393, ISSN: 2320-5083, Volume 1,
Issue 10, November 2013, Pg. 367 – 386.
5. Concrete Basics, http://www.cement.org/basics/concreteproducts_readymix.asp
6. Darsh Belani, Ashish H. Makwana, Jayeshkumar Pitroda, “A study of evaluation Criterias for
Renewable Energy Resources using Frequency Analysis through SPSS software”, Journal of
International Academic Research for Multidisciplinary (JIARM), Impact Factor 1.393, ISSN:
2320-5083, Volume 1, Issue 10, November 2013, Pg. 350 – 366.
7. Dhrumil S. Chokshi, Ashish H. Makwana, Jayeshkumar Pitroda, “A Preliminary Study on
Importances of Fly-ash Bricks and Clay Bricks in Construction Industry through SPSS
software”, International Journal of Civil, Structural, Environmental and Infrastructure
Engineering Research and Development (IJCSEIERD), Impact Factor 5.4829, ISSN(P):
2249-6866; ISSN(E): 2249-7978, Vol. 3, Issue 5, December 2013, 125-132, © TJPRC Pvt.
Ltd. 5.
8. Hitesh D. Bambhava, Prof. Jayeshkumar Pitroda, Prof. Jaydev J. Bhavsar, “A Comparative
Study On Bamboo Scaffolding And Metal Scaffolding In Construction Industry Using
Statistical Methods”, International Journal of Engineering Trends and Technology (IJETT),
Impact Factor 0.537, ISSN: 2231-5381, Volume 4, Issue 6, June 2013, Pg. 2330 – 2337.
9. John Albinger and Jaime Moreno, “Ready-Mixed Concrete”, American Concrete Institute,
Advancing concrete knowledge, Volume 97, Pages: 323-326.
10. Independent-Samples T Test, IBM SPSS
Statisticshttp://pic.dhe.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.sp
ss.statistics.help%2Fidh_ttin.htm
11. IS 4926 - 2003, Indian Standard, Ready mixed concrete – Code of Practice (Second
Revision), BIS, New Delhi.
12. M.S. Shetty, “Concrete Technology”, Theory and Practice, S.Chand- New Delhi.
13. Cement & Ready-mix concrete, http://en.wikipedia.org/wiki/Ready-mix_concrete
14. P. Ganesh Prabhu, D. Ambika, “Study on Behaviour of Workers in Construction Industry to
Improve Production Efficiency”, International Journal of Civil, Structural, Environmental and
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ISSN 2249-6866 Vol. 3, Issue 1, Mar 2013, 59-66, © TJPRC Pvt Ltd. 5.
15. Ready mix concrete plant in Kerala, Kerala State Industrial Development Corporation
(KSIDC), September 2012
http://www.emergingkerala2012.org/pdf/Manufacturing,%20Engg%20&%20Automotive/1.%
20Project%20Profile-ReadymixConcrete%20Plant.pdf
16. Richard A Johnson, “Miller & Freund’s Probability and Statistics for Engineers”, Seventh
Edition, Prentice-Hall of India Private Limited, New Delhi-110 001, 2005

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A STUDY ON READY MIXED CONCRETE USING INDEPENDENT SAMPLE T-TEST THROUGH SPSS SOFTWARE IN CHAROTAR REGION OF CENTRAL GUJARAT

  • 1. Journal of International Academic Research for Multidisciplinary ISSN 2320 -5083 A Scholarly, Peer Reviewed, Monthly, Open Access, Online Research Journal Impact Factor – 1.393 VOLUME 1 ISSUE 11 DECEMBER 2013 A GLOBAL SOCIETY FOR MULTIDISCIPLINARY RESEARCH www.jiarm.com A GREEN PUBLISHING HOUSE
  • 2. Editorial Board Dr. Kari Jabbour, Ph.D Curriculum Developer, American College of Technology, Missouri, USA. Er.Chandramohan, M.S System Specialist - OGP ABB Australia Pvt. Ltd., Australia. Dr. S.K. Singh Chief Scientist Advanced Materials Technology Department Institute of Minerals & Materials Technology Bhubaneswar, India Dr. Jake M. Laguador Director, Research and Statistics Center, Lyceum of the Philippines University, Philippines. Prof. Dr. Sharath Babu, LLM Ph.D Dean. Faculty of Law, Karnatak University Dharwad, Karnataka, India Dr.S.M Kadri, MBBS, MPH/ICHD, FFP Fellow, Public Health Foundation of India Epidemiologist Division of Epidemiology and Public Health, Kashmir, India Dr.Bhumika Talwar, BDS Research Officer State Institute of Health & Family Welfare Jaipur, India Dr. Tej Pratap Mall Ph.D Head, Postgraduate Department of Botany, Kisan P.G. College, Bahraich, India. Dr. Arup Kanti Konar, Ph.D Associate Professor of Economics Achhruram, Memorial College, SKB University, Jhalda,Purulia, West Bengal. India Dr. S.Raja Ph.D Research Associate, Madras Research Center of CMFR , Indian Council of Agricultural Research, Chennai, India Dr. Vijay Pithadia, Ph.D, Director - Sri Aurobindo Institute of Management Rajkot, India. Er. R. Bhuvanewari Devi M. Tech, MCIHT Highway Engineer, Infrastructure, Ramboll, Abu Dhabi, UAE Sanda Maican, Ph.D. Senior Researcher, Department of Ecology, Taxonomy and Nature Conservation Institute of Biology of the Romanian Academy, Bucharest, Romania Dr. Reynalda B. Garcia Professor, Graduate School & College of Education, Arts and Sciences Lyceum of the Philippines University Philippines Dr.Damarla Bala Venkata Ramana Senior Scientist Central Research Institute for Dryland Agriculture (CRIDA) Hyderabad, A.P, India PROF. Dr.S.V.Kshirsagar, M.B.B.S,M.S Head - Department of Anatomy, Bidar Institute of Medical Sciences, Karnataka, India. Dr Asifa Nazir, M.B.B.S, MD, Assistant Professor, Dept of Microbiology Government Medical College, Srinagar, India. Dr.AmitaPuri, Ph.D Officiating Principal Army Inst. Of Education New Delhi, India Dr. Shobana Nelasco Ph.D Associate Professor, Fellow of Indian Council of Social Science Research (On Deputation}, Department of Economics, Bharathidasan University, Trichirappalli. India M. Suresh Kumar, PHD Assistant Manager, Godrej Security Solution, India. Dr.T.Chandrasekarayya,Ph.D Assistant Professor, Dept Of Population Studies & Social Work, S.V.University, Tirupati, India.
  • 3. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 292 www.jiarm.com A STUDY ON READY MIXED CONCRETE USING INDEPENDENT SAMPLE T-TEST THROUGH SPSS SOFTWARE IN CHAROTAR REGION OF CENTRAL GUJARAT CHIRAG R. PARMAR* ASHISH H. MAKWANA** JAYESHKUMAR PITRODA*** JAYDEV J. BHAVSAR**** *Final Year B. E. Civil Engg., B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India **Final Year M.E. C. E. & M., B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India ***Assistant Professor & Research Scholar, Dept. of Civil Engg. B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India ****Associate Professor, Dept. of Civil Engg. B.V.M. Engg. College, Vallabh Vidyanagar, Gujarat, India ABSTRACT The Indian Construction industry has been traditionally labour oriented. The pace of mechanization in the past was very slow due to the availability of cheap and abundant labour, lack of capital investment and highly fragmented nature of the construction sector. The Ready Mixed Concrete is a dynamic resource for the construction industry, which must periodically re-evaluate its position in relation to the economy, the nation, local industry, and especially with the customer. Highly-developed economies bring changes in market conditions. A change which has been occurring is the change from a product to a service-related market. This change occurs earlier in mass consumer products and lags behind in more static products like those in the construction industry. This conversion from product to service is taking place now in the construction industry. The Ready Mixed Concrete Industry has traditionally made its profit for Infrastructural development. Objective of this research paper is to prove that Ready Mixed Concrete utilization is beneficial compare to Conventional Mixed Concrete in Charotar Region of Central Gujarat. During this research work various factors interrelated to Ready Mixed Concrete are being identified and converted into questionnaire to carry out surveys. Software like Microsoft Excel and SPSS Statistics (Statistical Package for the Social Sciences) are adopted to evaluate the responses collected from the people by Independent- Samples T Test. KEYWORDS: Ready Mixed Concrete, Construction Industry, Market Conditions, Infrastructural Development, Management INTRODUCTION Ready Mixed Concrete (RMC) is a ready-to-use concrete, with predetermined mixture of cement, aggregates, additives and water. It is manufactured in a centrally located factory (Batching plant) according to a set recipe or as per specifications of the client. It is then
  • 4. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 293 www.jiarm.com delivered to the client’s worksite, often in special trucks (Transit mixer) capable of mixing the ingredients of the concrete. This results in a precise mixture, allowing specialty concrete mixtures to be developed and implemented on construction sites. RMC is preferred to on-site concrete mixing because of the precision of the mixture and reduced worksite confusion. It facilitates speedy construction through programmed delivery at site and mechanized operation with consequent economy. It also decreases labour, site supervising cost and project time, thereby resulting in savings, proper control and economy in the use of raw materials. It assures consistent quality through accurate computerized control of aggregates and water as per mix designs. It minimizes cement wastage due to bulk handling and there is no dust problem and therefore, pollution-free. Ready Mixed Concrete is a modern technique of production of concrete in large quantities away from the actual site of placing. It is very useful in cities where demand of concrete is very high and construction sites are in congested areas, where mixing on site is not possible. The Supervisory and labour costs associated with production of RMC is less, and the quality of concrete is high. It is suitable for huge industrial and residential projects where time plays a vital role. Fig. 1: Modern Ready Mixed Concrete Plant (Source: Dharti RMC Pvt Ltd., Anand-Sojitra Road, Near Sunav, At & Po. Sunav, Ta. Petlad, Dist. Anand) LITERATURE REVIEW This method of mixing concrete was first invented and patented by Germans more than 100 years ago in 1903. But for a few years this method did not become popular as there was no suitable method of transporting the concrete to construction sites. The first commercial delivery of concrete was made in 1913 in Baltimore, USA using a small drum type transit mixer and the first ready mix concrete plant was set up at Heathrow airport site in London in 1931. The Ready mix concrete business in India is still in its infancy; where as in developed countries, nearly 80% of cement consumption is in the form of ready mix concrete and 20% in the form of recast. In India, ready mix concrete accounts for less than 5% of consumption,
  • 5. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 294 www.jiarm.com and as much as 82% of cement consumption is in the form of site-mixed concrete. While 70% of cement produced in a developed country like Japan is used by RMC business, in India, only around 2% of total cement production is used by RMC.At the present, the cost differential between Ready-mixed concrete and site mixed concrete is proving major constraint in its growth. This problem will be resolved with the increasing awareness about the advantages of RMC by the end consumers. ABOUTINDEPENDENT SAMPLE T-TEST The Independent-Samples T Test procedure compares means for two or more groups of cases. Ideally, for this test, the subjects should be randomly assigned to two groups, so that any difference in response is due to the treatment and not to other factors. This is not the case if you compare average income for males and females. A person is not randomly assigned to be a male or female. In such situations, you should ensure that differences in other factors are not masking or enhancing a significant difference in means. Differences in average income may be influenced by factors such as education. In the calculation of Independent-samples T TEST, replacing calculated value greater than null hypothesis value with a plus sign and each small value less then null hypothesis value with a minus sign. Null hypothesis (H0) - Ready Mixed Concrete utilization is beneficial compare to Conventional Mixed Concrete in Charotar Region of Central Gujarat. (α 0.05) Alternative hypothesis (H1) - Ready Mixed Concrete utilization is not beneficial compare to Conventional Mixed Concrete in Charotar Region of Central Gujarat. (α> 0.05) INDEPENDENT-SAMPLES T TEST DEFINE GROUPS For numeric grouping variables, define the two groups for the T test by specifying two values or a cut point:  Use specified values: Enter a value for Group 1 and another value for Group 2. Cases with any other values are excluded from the analysis. Numbers need not be integers (for example, 6.25 and 12.5 are valid).  Cutpoint: Enter a number that splits the values of the grouping variable into two sets. All cases with values that are less than the cutpoint form one group, and cases with values that are greater than or equal to the cutpoint form the other group. For string grouping variables, enter a string for Group 1 and another value for Group 2, such as yes and no. Cases with other strings are excluded from the analysis.
  • 6. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 295 www.jiarm.com INDEPENDENT-SAMPLES T TEST OPTIONS Confidence Interval: By default, a 95% confidence interval for the difference in means is displayed. Enter a value between 1 and 99 to request a different confidence level. Missing Values: When you test several variables, and data are missing for one or more variables, you can tell the procedure which cases to include (or exclude).  Exclude cases analysis by analysis. Each t test uses all cases that have valid data for the tested variables. Sample sizes may vary from test to test.  Exclude cases list wise. Each t test uses only cases that have valid data for all variables that are used in the requested t tests. The sample size is constant across tests. DATA ANALYSIS AND INTERPRETATION Table 1: Independent-Samples T Test Level of significance (α) Values of Criterion details Result Hypothesis Calculated Tabulated PART1: a] Material and Equipment cost; b] Staff and their Salary; c] Labours and their wages; d] Ready Mixed Concrete Plant with capital Investment and Production; e] various concrete grade cost” - Data analysis and interpretation regarding RMC Plant Manager point of view: 1: Cost of OPC per Ton 0.05 0.572 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 2: Cost of Sand (per Ton) 0.05 2.299 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Not Accepted 3: Cost of Aggregate (10 mm) per Ton 0.05 1.664 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 4: Cost of Aggregate (20 mm) per Ton 0.05 0.278 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 5: Cost of Fly ash (per Ton) 0.05 0.385 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted
  • 7. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 296 www.jiarm.com 6: Cost of Superticizer (per lit.) 0.05 0.634 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 7: No. of Technical staff of RMC Plant 0.05 0.350 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 8: Salary of One Technical Person (per month) working at RMC plant 0.05 0.572 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 9: No. of Labours required for RMC plant 0.05 0.438 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 10: Wages of One Labour (per day) of RMC plant 0.05 0.253 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 11: Size of transit mixer used for RMC delivery to customer’s construction site 0.05 0.784 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 12: Maximum distance required for RMC delivery to customer’s construction site 0.05 0.819 1.701 Reject the null hypothesis if > 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 13: Owning cost of RMC transit mixture 0.05 0.185 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 14: Operating cost of RMC transit mixture (capacity 8 cum.) per 25 km 0.05 0.319 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 15: Cost of pump used for placing of RMC
  • 8. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 297 www.jiarm.com 0.05 1.007 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom rejected Accepted 16: Approx. production of RMC per day 0.05 0.766 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 17: Capital investment of RMC plant 0.05 0.226 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 18: Cost of M 10 grade RMC per cum. 0.05 0.014 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 19: Cost of M 15 grade RMC per cum 0.05 0.626 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 20: Cost of M 20 grade RMC per cum. 0.05 0.677 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 21: Cost of M 25 grade RMC per cum. 0.05 0.021 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 22: Cost of M 30 grade RMC per cum. 0.008 1.644 2.547 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted PART 2: “a] Delivery; b] Quality; c] Quantity; d] Testing; e] Supervision; f] Placement of RMC; g] Application and Availability of RMC”:Data analysis and interpretation regarding Contractor and Consultant point of view 23: Get RMC Delivery in proper time 0.05 0.599 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted
  • 9. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 298 www.jiarm.com 24: Get RMC in better Quality 0.05 0.467 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 25: Get RMC in required Quantity 0.05 2.036 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Not Accepted 26: Testing of RMC 0.05 0.009 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 27: Supervision necessary at the time of placing of RMC 0.05 0.106 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 28: Problem while placing RMC in the Formwork 0.05 0.129 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 29: Any type of action preferred when RMC hardened before Placing 0.05 1.448 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 30: Possible to use RMC for small projects 0.05 0.739 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 31: Possible to use RMC in under water construction work 0.05 0.100 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 32: Type of response get from RMC plant Manager 0.05 0.500 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 33: Uniform size of aggregate used in RMC
  • 10. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 299 www.jiarm.com 0.006 1.339 2.669 Reject the null hypothesis if (Calculated)> 1.701, the value of or 29-1= 28 degree of freedom Cannot be rejected Accepted 34: Wastage produced of RMC at the time of placing 0.05 0.395 1.701 Reject the null hypothesis if (Calculated)> 1.313, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 35: Change in quality of RMC when mixing admixture 0.05 0.022 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted 36: Availability of RMC in Charotar region 0.05 0.493 1.701 Reject the null hypothesis if (Calculated)> 1.701, the value of for 29-1= 28 degree of freedom Cannot be rejected Accepted CONCLUSIONS Following conclusions are drawn of Ready Mixed Concrete by Independent - Samples T Test:  In Independent-Samples T Test, 3 Categories (Ready Mixed Concrete plant manager, Contractor, Consultant) are considered as a grouping variable and after the analysis concluded that 94.44% variables are accepted at ≤ 5% level of significance ( ) and 5.56% variables are not accepted.  So, Hypothesis (Ready Mixed Concrete utilization is beneficial compare to Conventional Mixed Concrete in Charotar Region of Central Gujarat.) is successfully proved by Independent-Samples T Test. REFERENCES 1. A K Jain, India, “Ready-Mixed Concrete growth prospects in India”, Grasim Industries Ltd,27th Conference on OUR WORLD IN CONCRETE & STRUCTURES: 29 - 30 August 2002, Singapore. 2. A.R.Santhkumar, “Concrete Technology”, Oxford higher education. 3. Ashish H. Makwana, Prof. Jayeshkumar Pitroda, “A Study on Region wise Price Variation of Construction Raw Materials using Frequency Analysis through SPSS Software”, International Journal of Engineering Trends and Technology (IJETT), Impact Factor 0.537, ISSN: 2231- 5381, Volume 4, Issue 7, July 2013, Pg. 3233 – 3242. 4. Bharat G. Bhudiya, Sanjay S. Narola, Ashish H. Makwana, Jayeshkumar Pitroda, “Assessment on Autoclaved Aerated Concrete Blocks using Frequency Analysis through SPSS software in Charotar Region of Central Gujarat”, Journal of International Academic
  • 11. JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 11, December 2013 300 www.jiarm.com Research for Multidisciplinary (JIARM), Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 10, November 2013, Pg. 367 – 386. 5. Concrete Basics, http://www.cement.org/basics/concreteproducts_readymix.asp 6. Darsh Belani, Ashish H. Makwana, Jayeshkumar Pitroda, “A study of evaluation Criterias for Renewable Energy Resources using Frequency Analysis through SPSS software”, Journal of International Academic Research for Multidisciplinary (JIARM), Impact Factor 1.393, ISSN: 2320-5083, Volume 1, Issue 10, November 2013, Pg. 350 – 366. 7. Dhrumil S. Chokshi, Ashish H. Makwana, Jayeshkumar Pitroda, “A Preliminary Study on Importances of Fly-ash Bricks and Clay Bricks in Construction Industry through SPSS software”, International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development (IJCSEIERD), Impact Factor 5.4829, ISSN(P): 2249-6866; ISSN(E): 2249-7978, Vol. 3, Issue 5, December 2013, 125-132, © TJPRC Pvt. Ltd. 5. 8. Hitesh D. Bambhava, Prof. Jayeshkumar Pitroda, Prof. Jaydev J. Bhavsar, “A Comparative Study On Bamboo Scaffolding And Metal Scaffolding In Construction Industry Using Statistical Methods”, International Journal of Engineering Trends and Technology (IJETT), Impact Factor 0.537, ISSN: 2231-5381, Volume 4, Issue 6, June 2013, Pg. 2330 – 2337. 9. John Albinger and Jaime Moreno, “Ready-Mixed Concrete”, American Concrete Institute, Advancing concrete knowledge, Volume 97, Pages: 323-326. 10. Independent-Samples T Test, IBM SPSS Statisticshttp://pic.dhe.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.sp ss.statistics.help%2Fidh_ttin.htm 11. IS 4926 - 2003, Indian Standard, Ready mixed concrete – Code of Practice (Second Revision), BIS, New Delhi. 12. M.S. Shetty, “Concrete Technology”, Theory and Practice, S.Chand- New Delhi. 13. Cement & Ready-mix concrete, http://en.wikipedia.org/wiki/Ready-mix_concrete 14. P. Ganesh Prabhu, D. Ambika, “Study on Behaviour of Workers in Construction Industry to Improve Production Efficiency”, International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development (IJCSEIERD), Impact Factor 5.4829, ISSN 2249-6866 Vol. 3, Issue 1, Mar 2013, 59-66, © TJPRC Pvt Ltd. 5. 15. Ready mix concrete plant in Kerala, Kerala State Industrial Development Corporation (KSIDC), September 2012 http://www.emergingkerala2012.org/pdf/Manufacturing,%20Engg%20&%20Automotive/1.% 20Project%20Profile-ReadymixConcrete%20Plant.pdf 16. Richard A Johnson, “Miller & Freund’s Probability and Statistics for Engineers”, Seventh Edition, Prentice-Hall of India Private Limited, New Delhi-110 001, 2005