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INTERNATIONAL JOURNAL in Management (IJARM),RESEARCH
 International Journal of Advanced Research OF ADVANCED ISSN 0976 – 6324
 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)
                        IN MANAGEMENT (IJARM)

ISSN 0976 - 6324 (Print)
ISSN 0976 - 6332 (Online)
                                                                     IJARM
Volume 3, Issue 1, January- June (2012), pp. 11-19
© IAEME: www.iaeme.com/ijarm.html
                                                                   ©IAEME
Journal Impact Factor (2011): 0.5218 (Calculated by GISI)
www.jifactor.com




    BARRIERS AND ENABLERS IN IMPLEMENTATION OF LEAN
      SIX SIGMA IN INDIAN MANUFACTURING INDUSTRIES

                                       Dr Z Mallick¹
                           Professor in Mechanical Department
                     Jamia Millia Islamia University, New Delhi, India
                                Zmallick2002@yahoo.co.in
                                    Mr Shahzad Ahmad²
                           Asstt Prof in Mechanical Department
                                 AFSET, Faridabad, India
                                 ershahzadjmi@gmail.com
                                     Lalit Singh Bisht³
                          Research Scholar (corresponding author)
                                 AFSET, Faridabad, India
                                   lsbisht24@gmail.com


 ABSTRACT
 In this paper, study examines the barriers and enablers in implementation of lean six
 sigma (LSS) in Indian manufacturing sector. Indian manufacturing sector would
 contribute 25% of GDP and increase employability and enhance global competition in
 near future. In order to achieve the objectives, the various research questions were asked,
 which are key factors to initiate Implementing LSS tools.
 Keywords: LSS, chi-square, barriers, enablers, quality, GDP

 1. INTRODUCTION

 Lean Six Sigma (LSS) is a key ingredient of quality management principles, practices,
 tool and techniques. It is process based improvement methodologies, the combination of
 both can provide the philosophy and the most powerful tools to solve problems and create
 rapid transformational improvement at lower cost. Lean Six Sigma have been
 successfully implement in many manufacturing sector such as General Electric, Toyota,
 DuPont, Boeing, Honeywell, Dell, Toshiba, HP, Sony, IBM, Seagate, Lenovo( Gang Niu
 et all., 2010). Due to commercial competition, enterprises must focus on low cost;
 eliminate waste and workforce effectiveness to get high profit by satisfying end user.

                                             11
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

Lean Six Sigma programs, which comprise statistical approaches with a systematic and
quantifiable project-based improvement methodology, are proving to be extremely
effective in tracking down the real causes of variation (Mortimer A L., 2006). By
adopting this new approach, An Indian companies of all sizes, are now establishing a far
better understanding and gaining much tighter control of their development.

1.1 Drawing from Lean Six-Sigma Manufacturing Process Improvement

   (a) To create solutions for processes.
   (b) Organization will receive more output of work and progress with less amount of
   effort.
   (d) It recognizes inefficiencies.
   (d)It reduces cycle time.
   (e) It reduces Non-Value-Added activities.
   (f) Increase in customer order accuracy.

1.2 Indian Manufacturing Sector Scenario

The report of the Prime Minister’s Group, constituted to look into the measures for
ensuring growth of the manufacturing sector, submitted in 2008 had recommended the
putting in place a well structured manufacturing-sector policy to attain sustained 12-14
per cent growth in this sector. The government released the NMP on 4 November
2011for bringing about a quantitative and qualitative change with the objectives to (i)
increase manufacturing sector growth to 12-14 per cent over the medium term; (ii) enable
manufacturing to contribute at least 25 per cent of GDP by 2022; (iii) create 100 million
additional jobs in the manufacturing sector by 2022; (iv) create appropriate skill sets
among the rural migrant and urban poor for their easy absorption in manufacturing; (v)
increase domestic value addition and technological depth in manufacturing; and (vi)
enhance global competitiveness of Indian manufacturing( India budget 2012)

2 REVIEW OF LITERATURE

Lean Six Sigma is a new integrated concept that has objectives to improve quality, reduce
processing time and reduce production cost. However, one needs to be careful when
implementing Lean Six Sigma concepts into manufacturing sector. There is a need to
think about manufacturing sectors characteristics. Identifying critical success factors for
implementation is useful. But CSFs in themselves do not represent a coherent
implementation framework; they need to be integrated into an implementation plan. The
broader aim of the research is to develop an implementation framework to implement
Lean Six Sigma into Indian manufacturing industry. A temporal dimension is an
important feature of an effective implementation plan aimed at introducing an innovation
at an industry level. Thought should be given to how different phases of such an
innovation should be conducted. A feasible approach that has been used, is to introduce
the innovation into a small number of targeted organizations whose success would
encourage other organizations to follow their example (Kifayah Amar and Douglas Davis
2008).

                                            12
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

Barriers and Enablers in implementing a successful Lean Six Sigma [Swee s kuik et all]
           Barriers                                   Enablers
Top Management apathy                        Top Management involvement
Inability to change                          Able to Learn and accept changes
Improper Planning                            Proper planning
Lack of Training                             Quality workshop organize regularly
Lack of Democratic talk                      Open talk about all waste
Insulating organization from Cross Understand and implement cross business
business
Inadequate attention to internal and Internal and external customer satisfaction
external customer                            is tracked and reviewed

The implementation of Lean Six Sigma in Indian manufacturing sector is an area of
heightened practitioner and researcher interest. A case study involving the development
of a Six Sigma implementation framework was undertaken utilizing a coach-centered
Indian manufacturing sector business improvement cluster. The case study employed a
novel transfer programme involving Six Sigma DMAIC training, personal development
workshops and a ‘live ‘Lean Six Sigma based business improvement project. This work
based learning programme allowed the contextual application of core tools and
techniques with the assistance of an expert coach. Benefits from the program were
generated on four levels including knowledge and technology transfer between cluster-
based manufacturing sector (incidental technology transfer). (Pantano, P. O’Kane and K.
Smith.2006)

3. NEED AND OBJECTIVES OF THE STUDY

Indian Manufacturing sectors needs to become more competitive and producing good
quality with minimum waste by utilizing full man power to satisfy end user. To achieve
customer’s satisfaction, Indian manufacturing sector have an obligation to ascertain the
quality of goods as expected by the customer and find ways to meet them. The present
study is aimed to find barriers and enablers in implementation of lean six sigma in Indian
manufacturing sectors by knowing concern enterprise employees perception about factors
which are basic for Lean Six Sigma. The present study finds the relationship of Lean Six
Sigma factors with personnel view.

4. METHODOLOGY
A questionnaire was constructed to find the perceptions of the employees of different
manufacturing sector towards their organization. Total of 7 main statements were asked
by 62 respondents, which are Critical success factor for implementation of lean six
sigma. Employees were asked to rate the quality of several attributes using an interval,
Likert scale ranging 1 to 5.The study period was from November 2011 to March 2012.
Study comprised 62 respondents of 07 manufacturing sectors. The tests of factor analysis,
chi-square and averages were used to analyze the data and interpret the results.




                                           13
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

5. DATA ANALYSIS               AND   INTERPRETATION             WITH          TESTING      OF
HYPOTHESES
Table 1: Respondents experience

Experience         Frequency         Percentage          Valid                Cumulative
                                                         percentage           percentage
Below 2 yrs       21                 33.87               33.87                33.87
2-4 yrs           16                 25.80               25.80                59.67
4-6 yrs           09                 14.51               14.51                74.18
6-8 yrs           01                 01.61               01.61                75.79
8-10 yrs          14                 22.58               22.58                98.37
Above 10 yrs      01                 01.61               01.61                100
Total             62                 100.00              100.00
Field Survey, 2011-2012
Above Table 1 shows that 33.87% of the respondents have work in the organization for
less than 2 yrs while 25.80% of the respondents have work in the organization for 2-4 yrs
and 14.51% respondents work for 4-6 yrs, 22.58% for 8-10 yrs and 01.61% respondents
work for 6-8 yrs and above 10 yrs.The respondents were asked Seven question critical
factors of Lean Six Sigma Implementation in their organization, these Seven question are
prerequisite for Lean Six Sigma implementation and to find its Barriers and Enablers
.Their responses are shown in given table.
Table 2: All new employees are trained in the analysis methodology and problem solving
tools

Opinion           Frequency       Percentage       Valid              Cumulative
                                                   percentage         percentage
Strongly        01              01.61              01.61              01.61
disagree
Disagree        05              08.06              08.06              9.67
Neutral         18              29.03              29.03              38.70
Agree           29              46.77              46.77              85.47
Strongly        09              14.51              14.51              100
agree
Total           62              100                100
Source: Field Survey, 2011-2012
Table 2 shows that 46.77% respondents agree and 14.51% strongly agree that new
employs are trained in the analysis methodology and problem solving tools but other side
29.03%, 08.06%, 01.61% are either neutral, disagree, and strongly disagree respectively.
Chi-square is calculated using formula
χ²= Ʃ (O-E) ²/E
Where: Ʃ=Summation

                                              14
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

O= Observed frequency; E= Expected frequency
Decision rule: Reject null hypothesis (H0), where χ² calculated is greater than χ²
tabulated, and accept alternative hypothesis (H1)
For Table 2 statement, calculated (χ²) = Ʃ (O-E) ²/E =40.61
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis(H1),this indicate that there is a relation of statement in table
2 to Barriers and enablers in implementation of Lean Six Sigma.
Table 3: There is no fear of my superior for speaking out about waste (time, materials
etc.)

Opinion          Frequency        Percentage        Valid            Cumulative
                                                    percentage       percentage
Strongly        02              3.22                3.22             3.22
disagree
Disagree        04              6.45                6.45             9.67
Neutral         17              27.41               27.41            37.08
Agree           28              45.16               45.16            82.24
Strongly        11              17.74               17.74            100
agree
Total           62              100                 100
Source: Field Survey, 2011-2012
Table 3 disclose that 45.16% respondents agree and 17.74% strongly agree that they have
no fear when to speak about waste to their superior but 27.41% respondents neutral and
6.45%, 3.22% respondents disagree and strongly disagree respectively .
For Table 3 statement, calculated (χ²) = Ʃ (O-E) ²/E =35.91
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 3 to Barriers and enablers in implementation of Lean Six Sigma.




                                             15
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

  Table 4: Quality leaders know about Lean Six Sigma

Opinion         Frequency         Percentage      Valid             Cumulative
                                                  percentage        percentage
Strongly         00              00               00                00
disagree
Disagree         06              9.67             9.67              9.67
Neutral          025             40.32            40.32             49.99
Agree            021             33.87            33.87             83.86
Strongly agree 10                16.12            16.12             100
Total            62              100              100
 Source: Field Survey, 2011-2012
Above Table 4 shows that 33.87% respondents and 16.12% agree and strongly disagree
and 40.32% of the respondents have neutral view and 9.67% disagree about those quality
leaders know about Lean Six Sigma.
For Table 4 statement, calculated (χ²) = Ʃ (O-E) ²/E =34.72
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 4 to Barriers and enablers in implementation of Lean Six Sigma.
  Table 5 Customer satisfaction is tracked and reviewed

Opinion           Frequency         Percentage         Valid                Cumulative
                                                       Percentage           percentage
Strongly          00                00                 00                   00
Disagree
Disagree          02                3.22               3.22                 3.22
Neutral          12                 19.35              19.35                22.57
Agree             33                53.22              53.22                75.79
Strongly Agree 15                   24.19              24.19                100
Total             62                100                100
Source: Field Survey, 2011-2012
Table 5 shows that 53.22% and 24.19% of respondents agree and strongly agree
respectively when asked that their organization tracked and reviewed customer
satisfaction and 19.35% of the respondents neutral and 3.22% disagree
For Table5 statement, calculated (χ²) = Ʃ (O-E) ²/E =55.90
Degree of freedom “d.o.f”= 4


                                            16
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 5 to Barriers and enablers in implementation of Lean Six Sigma.
Table 6: Quality workshop organize regularly

Opinion           Frequency         Percentage         Valid              Cumulative
                                                       percentage         percentage
Strongly          01                1.61               1.61               1.61
disagree
Disagree          04                6.45               6.45               8.06
Neutral          21                 33.87              33.87              41.93
Agree             24                38.70              38.70              80.63
Strongly agree 12                   19.35              19.35              100
Total             62                100                100
Source: Field Survey, 2011-2012
When respondents were asked whether Quality workshop organize regularly in their
organization then 38.70% and 19.35% respondents agree and strongly disagree
respectively on other side 33.87% were neutral and 6.45% and 1.61% respondents
disagree and strongly disagree
For Table 6 statement, calculated (χ²) = Ʃ (O-E) ²/E =33.01
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 6 to Barriers and enablers in implementation of Lean Six Sigma.
Table 7: Cross business opportunities linked with customer needs

Opinion           Frequency         Percentage         Valid              Cumulative
                                                       percentage         percentage
Strongly          01                1.61               1.61               1.61
disagree
Disagree          04                6.45               6.45               8.06
Neutral          13                 20.96              20.96              29.02
Agree             40                64.51              64.51              93.53
Strongly agree 04                   6.45               6.45               100
Total             62                100                100
Source: Field Survey, 2011-2012

                                            17
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

From the table above, 64.51% respondents agree, 20.96% of the respondents neutral,
6.45% of the respondents disagree and strongly agree and 1.61% of the respondents
strongly disagree that their organization understand of how cross-business opportunities,
linked with customer needs, might offer different ways of approaching the market.
For Table 7 statement, calculated (χ²) = Ʃ (O-E) ²/E =83.31
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 7 to Barriers and enablers in implementation of Lean Six Sigma.
Table 8: Suppliers capabilities in supporting new technology/requirements

Opinion           Frequency         Percentage         Valid              Cumulative
                                                       percentage         percentage
Strongly          00                00                 00                 00
disagree
Disagree          03                4.83               4.83               4.83
Neutral          18                 29.03              29.03              33.86
Agree             37                59.67              59.67              93.53
Strongly agree 04                   6.45               6.45               100
Total             62                100                100
Source: Field Survey, 2011-2012s
This table shows that 59.67% of the respondents agree and 29.03% of the respondents
neutral about the suppliers’ capabilities in supporting new technology/requirements and
6.45% of the respondents strongly agree and 4.83% of the respondents disagree that the
suppliers’ capabilities in supporting new technology/requirements.
For Table 8 statement, calculated (χ²) = Ʃ (O-E) ²/E =76.53
Degree of freedom “d.o.f”= 4
Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of
freedom is 9.488
Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and
accept alternative hypothesis (H1), this concluded that there is a relation of statement in
table 8 to Barriers and enablers in implementation of Lean Six Sigma.

6. RESULTS AND DISCUSSION
The surveys revealed that majority of the manufacturing sector preferred and have ISO
certification, and implement some tools and technique but relatively very less percentage.


                                            18
International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324
(Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012)

Surveys disclose various Barriers and Enablers in implementation of LSS in Indian
manufacturing sectors as in below

Barriers and Enablers in implementation of LSS in Indian manufacturing sectors

Barriers                                    Enablers
New employees are reluctant                 New employees are trained in analysis
                                            methodology
Little steps initiate to eliminate waste    Democratic talk about waste, to senior
Quality leaders implements less tools of Quality leaders know about LSS
LSS
Employee follow mind numbing rules          Customer satisfaction is tracked and
                                            reviewed
Few employees implement quality tools       Quality workshop organize regularly
Quality of product still lag to world class Cross business linked with customer needs
Suppliers not involved in organization Suppliers                 support           new
SPC                                         technology/requirements

7. LIMITATIONS OF THE STUDY

Following are some of the limitation of this study:
(a). Sample size of 7 manufacturing sectors appears to be small, it can be extended to
companies located in other parts of India too. More survey needs to make the results
more representatives
(b). Sample size is limited which is 62 respondents, it can be cover more respondents
from top to bottom of organizations.

REFERENCES

[1] Gang Niu, Daniel Lau, Michael Pecht. (2010) PHM2010 Macau, IEEE
[2] Mortimer A L., (2006) “Six Sigma: Effective handling of deep rooted quality
problems” , Assembly Automation, Vol. 26, No.3, pp.200-204.
[3] Duane K Allen, Phil Laure. (2006) “Exploiting Lean Sigma quality tools to improve
test and other process” 1-4244-0052-X/06/$20.00 ©2006 IEEE. Pp 509-514
[4] http://indiabudget.nic.in(accessed on April 8, 2012).
[5] Kifayah Amar and Douglas Davis. IMECS 2008 A Review of Six Sigma
Implementation Frameworks and Related Literature”, Vol II19-21 March, 2008, Hong
Kong
[6] Swee S. KUIK, Sev V Nagalingam & Yousef Amer, “Implementation of Six Sigma
methodology to improve supply chain network in the context of Malaysian
manufacturing industries”
[7] C V. Pantano, P. O’Kane and K. Smith.2006 cluster-based Six Sigma Deployment in
Small and Medium Sized Enterprises”. IEEE, pp 788-792.




                                         19

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Barriers and enablers in implementation of lean six sigma

  • 1. INTERNATIONAL JOURNAL in Management (IJARM),RESEARCH International Journal of Advanced Research OF ADVANCED ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) IN MANAGEMENT (IJARM) ISSN 0976 - 6324 (Print) ISSN 0976 - 6332 (Online) IJARM Volume 3, Issue 1, January- June (2012), pp. 11-19 © IAEME: www.iaeme.com/ijarm.html ©IAEME Journal Impact Factor (2011): 0.5218 (Calculated by GISI) www.jifactor.com BARRIERS AND ENABLERS IN IMPLEMENTATION OF LEAN SIX SIGMA IN INDIAN MANUFACTURING INDUSTRIES Dr Z Mallick¹ Professor in Mechanical Department Jamia Millia Islamia University, New Delhi, India Zmallick2002@yahoo.co.in Mr Shahzad Ahmad² Asstt Prof in Mechanical Department AFSET, Faridabad, India ershahzadjmi@gmail.com Lalit Singh Bisht³ Research Scholar (corresponding author) AFSET, Faridabad, India lsbisht24@gmail.com ABSTRACT In this paper, study examines the barriers and enablers in implementation of lean six sigma (LSS) in Indian manufacturing sector. Indian manufacturing sector would contribute 25% of GDP and increase employability and enhance global competition in near future. In order to achieve the objectives, the various research questions were asked, which are key factors to initiate Implementing LSS tools. Keywords: LSS, chi-square, barriers, enablers, quality, GDP 1. INTRODUCTION Lean Six Sigma (LSS) is a key ingredient of quality management principles, practices, tool and techniques. It is process based improvement methodologies, the combination of both can provide the philosophy and the most powerful tools to solve problems and create rapid transformational improvement at lower cost. Lean Six Sigma have been successfully implement in many manufacturing sector such as General Electric, Toyota, DuPont, Boeing, Honeywell, Dell, Toshiba, HP, Sony, IBM, Seagate, Lenovo( Gang Niu et all., 2010). Due to commercial competition, enterprises must focus on low cost; eliminate waste and workforce effectiveness to get high profit by satisfying end user. 11
  • 2. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) Lean Six Sigma programs, which comprise statistical approaches with a systematic and quantifiable project-based improvement methodology, are proving to be extremely effective in tracking down the real causes of variation (Mortimer A L., 2006). By adopting this new approach, An Indian companies of all sizes, are now establishing a far better understanding and gaining much tighter control of their development. 1.1 Drawing from Lean Six-Sigma Manufacturing Process Improvement (a) To create solutions for processes. (b) Organization will receive more output of work and progress with less amount of effort. (d) It recognizes inefficiencies. (d)It reduces cycle time. (e) It reduces Non-Value-Added activities. (f) Increase in customer order accuracy. 1.2 Indian Manufacturing Sector Scenario The report of the Prime Minister’s Group, constituted to look into the measures for ensuring growth of the manufacturing sector, submitted in 2008 had recommended the putting in place a well structured manufacturing-sector policy to attain sustained 12-14 per cent growth in this sector. The government released the NMP on 4 November 2011for bringing about a quantitative and qualitative change with the objectives to (i) increase manufacturing sector growth to 12-14 per cent over the medium term; (ii) enable manufacturing to contribute at least 25 per cent of GDP by 2022; (iii) create 100 million additional jobs in the manufacturing sector by 2022; (iv) create appropriate skill sets among the rural migrant and urban poor for their easy absorption in manufacturing; (v) increase domestic value addition and technological depth in manufacturing; and (vi) enhance global competitiveness of Indian manufacturing( India budget 2012) 2 REVIEW OF LITERATURE Lean Six Sigma is a new integrated concept that has objectives to improve quality, reduce processing time and reduce production cost. However, one needs to be careful when implementing Lean Six Sigma concepts into manufacturing sector. There is a need to think about manufacturing sectors characteristics. Identifying critical success factors for implementation is useful. But CSFs in themselves do not represent a coherent implementation framework; they need to be integrated into an implementation plan. The broader aim of the research is to develop an implementation framework to implement Lean Six Sigma into Indian manufacturing industry. A temporal dimension is an important feature of an effective implementation plan aimed at introducing an innovation at an industry level. Thought should be given to how different phases of such an innovation should be conducted. A feasible approach that has been used, is to introduce the innovation into a small number of targeted organizations whose success would encourage other organizations to follow their example (Kifayah Amar and Douglas Davis 2008). 12
  • 3. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) Barriers and Enablers in implementing a successful Lean Six Sigma [Swee s kuik et all] Barriers Enablers Top Management apathy Top Management involvement Inability to change Able to Learn and accept changes Improper Planning Proper planning Lack of Training Quality workshop organize regularly Lack of Democratic talk Open talk about all waste Insulating organization from Cross Understand and implement cross business business Inadequate attention to internal and Internal and external customer satisfaction external customer is tracked and reviewed The implementation of Lean Six Sigma in Indian manufacturing sector is an area of heightened practitioner and researcher interest. A case study involving the development of a Six Sigma implementation framework was undertaken utilizing a coach-centered Indian manufacturing sector business improvement cluster. The case study employed a novel transfer programme involving Six Sigma DMAIC training, personal development workshops and a ‘live ‘Lean Six Sigma based business improvement project. This work based learning programme allowed the contextual application of core tools and techniques with the assistance of an expert coach. Benefits from the program were generated on four levels including knowledge and technology transfer between cluster- based manufacturing sector (incidental technology transfer). (Pantano, P. O’Kane and K. Smith.2006) 3. NEED AND OBJECTIVES OF THE STUDY Indian Manufacturing sectors needs to become more competitive and producing good quality with minimum waste by utilizing full man power to satisfy end user. To achieve customer’s satisfaction, Indian manufacturing sector have an obligation to ascertain the quality of goods as expected by the customer and find ways to meet them. The present study is aimed to find barriers and enablers in implementation of lean six sigma in Indian manufacturing sectors by knowing concern enterprise employees perception about factors which are basic for Lean Six Sigma. The present study finds the relationship of Lean Six Sigma factors with personnel view. 4. METHODOLOGY A questionnaire was constructed to find the perceptions of the employees of different manufacturing sector towards their organization. Total of 7 main statements were asked by 62 respondents, which are Critical success factor for implementation of lean six sigma. Employees were asked to rate the quality of several attributes using an interval, Likert scale ranging 1 to 5.The study period was from November 2011 to March 2012. Study comprised 62 respondents of 07 manufacturing sectors. The tests of factor analysis, chi-square and averages were used to analyze the data and interpret the results. 13
  • 4. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) 5. DATA ANALYSIS AND INTERPRETATION WITH TESTING OF HYPOTHESES Table 1: Respondents experience Experience Frequency Percentage Valid Cumulative percentage percentage Below 2 yrs 21 33.87 33.87 33.87 2-4 yrs 16 25.80 25.80 59.67 4-6 yrs 09 14.51 14.51 74.18 6-8 yrs 01 01.61 01.61 75.79 8-10 yrs 14 22.58 22.58 98.37 Above 10 yrs 01 01.61 01.61 100 Total 62 100.00 100.00 Field Survey, 2011-2012 Above Table 1 shows that 33.87% of the respondents have work in the organization for less than 2 yrs while 25.80% of the respondents have work in the organization for 2-4 yrs and 14.51% respondents work for 4-6 yrs, 22.58% for 8-10 yrs and 01.61% respondents work for 6-8 yrs and above 10 yrs.The respondents were asked Seven question critical factors of Lean Six Sigma Implementation in their organization, these Seven question are prerequisite for Lean Six Sigma implementation and to find its Barriers and Enablers .Their responses are shown in given table. Table 2: All new employees are trained in the analysis methodology and problem solving tools Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 01 01.61 01.61 01.61 disagree Disagree 05 08.06 08.06 9.67 Neutral 18 29.03 29.03 38.70 Agree 29 46.77 46.77 85.47 Strongly 09 14.51 14.51 100 agree Total 62 100 100 Source: Field Survey, 2011-2012 Table 2 shows that 46.77% respondents agree and 14.51% strongly agree that new employs are trained in the analysis methodology and problem solving tools but other side 29.03%, 08.06%, 01.61% are either neutral, disagree, and strongly disagree respectively. Chi-square is calculated using formula χ²= Ʃ (O-E) ²/E Where: Ʃ=Summation 14
  • 5. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) O= Observed frequency; E= Expected frequency Decision rule: Reject null hypothesis (H0), where χ² calculated is greater than χ² tabulated, and accept alternative hypothesis (H1) For Table 2 statement, calculated (χ²) = Ʃ (O-E) ²/E =40.61 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis(H1),this indicate that there is a relation of statement in table 2 to Barriers and enablers in implementation of Lean Six Sigma. Table 3: There is no fear of my superior for speaking out about waste (time, materials etc.) Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 02 3.22 3.22 3.22 disagree Disagree 04 6.45 6.45 9.67 Neutral 17 27.41 27.41 37.08 Agree 28 45.16 45.16 82.24 Strongly 11 17.74 17.74 100 agree Total 62 100 100 Source: Field Survey, 2011-2012 Table 3 disclose that 45.16% respondents agree and 17.74% strongly agree that they have no fear when to speak about waste to their superior but 27.41% respondents neutral and 6.45%, 3.22% respondents disagree and strongly disagree respectively . For Table 3 statement, calculated (χ²) = Ʃ (O-E) ²/E =35.91 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 3 to Barriers and enablers in implementation of Lean Six Sigma. 15
  • 6. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) Table 4: Quality leaders know about Lean Six Sigma Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 00 00 00 00 disagree Disagree 06 9.67 9.67 9.67 Neutral 025 40.32 40.32 49.99 Agree 021 33.87 33.87 83.86 Strongly agree 10 16.12 16.12 100 Total 62 100 100 Source: Field Survey, 2011-2012 Above Table 4 shows that 33.87% respondents and 16.12% agree and strongly disagree and 40.32% of the respondents have neutral view and 9.67% disagree about those quality leaders know about Lean Six Sigma. For Table 4 statement, calculated (χ²) = Ʃ (O-E) ²/E =34.72 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 4 to Barriers and enablers in implementation of Lean Six Sigma. Table 5 Customer satisfaction is tracked and reviewed Opinion Frequency Percentage Valid Cumulative Percentage percentage Strongly 00 00 00 00 Disagree Disagree 02 3.22 3.22 3.22 Neutral 12 19.35 19.35 22.57 Agree 33 53.22 53.22 75.79 Strongly Agree 15 24.19 24.19 100 Total 62 100 100 Source: Field Survey, 2011-2012 Table 5 shows that 53.22% and 24.19% of respondents agree and strongly agree respectively when asked that their organization tracked and reviewed customer satisfaction and 19.35% of the respondents neutral and 3.22% disagree For Table5 statement, calculated (χ²) = Ʃ (O-E) ²/E =55.90 Degree of freedom “d.o.f”= 4 16
  • 7. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 5 to Barriers and enablers in implementation of Lean Six Sigma. Table 6: Quality workshop organize regularly Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 01 1.61 1.61 1.61 disagree Disagree 04 6.45 6.45 8.06 Neutral 21 33.87 33.87 41.93 Agree 24 38.70 38.70 80.63 Strongly agree 12 19.35 19.35 100 Total 62 100 100 Source: Field Survey, 2011-2012 When respondents were asked whether Quality workshop organize regularly in their organization then 38.70% and 19.35% respondents agree and strongly disagree respectively on other side 33.87% were neutral and 6.45% and 1.61% respondents disagree and strongly disagree For Table 6 statement, calculated (χ²) = Ʃ (O-E) ²/E =33.01 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 6 to Barriers and enablers in implementation of Lean Six Sigma. Table 7: Cross business opportunities linked with customer needs Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 01 1.61 1.61 1.61 disagree Disagree 04 6.45 6.45 8.06 Neutral 13 20.96 20.96 29.02 Agree 40 64.51 64.51 93.53 Strongly agree 04 6.45 6.45 100 Total 62 100 100 Source: Field Survey, 2011-2012 17
  • 8. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) From the table above, 64.51% respondents agree, 20.96% of the respondents neutral, 6.45% of the respondents disagree and strongly agree and 1.61% of the respondents strongly disagree that their organization understand of how cross-business opportunities, linked with customer needs, might offer different ways of approaching the market. For Table 7 statement, calculated (χ²) = Ʃ (O-E) ²/E =83.31 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 7 to Barriers and enablers in implementation of Lean Six Sigma. Table 8: Suppliers capabilities in supporting new technology/requirements Opinion Frequency Percentage Valid Cumulative percentage percentage Strongly 00 00 00 00 disagree Disagree 03 4.83 4.83 4.83 Neutral 18 29.03 29.03 33.86 Agree 37 59.67 59.67 93.53 Strongly agree 04 6.45 6.45 100 Total 62 100 100 Source: Field Survey, 2011-2012s This table shows that 59.67% of the respondents agree and 29.03% of the respondents neutral about the suppliers’ capabilities in supporting new technology/requirements and 6.45% of the respondents strongly agree and 4.83% of the respondents disagree that the suppliers’ capabilities in supporting new technology/requirements. For Table 8 statement, calculated (χ²) = Ʃ (O-E) ²/E =76.53 Degree of freedom “d.o.f”= 4 Tabulated (χ²) = at 0.05% level of significance, the tabulated value of χ² for 4 degree of freedom is 9.488 Since the calculated χ² is greater than tabulated χ² we reject null hypothesis (H0) and accept alternative hypothesis (H1), this concluded that there is a relation of statement in table 8 to Barriers and enablers in implementation of Lean Six Sigma. 6. RESULTS AND DISCUSSION The surveys revealed that majority of the manufacturing sector preferred and have ISO certification, and implement some tools and technique but relatively very less percentage. 18
  • 9. International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 3, Issue 1, January- June (2012) Surveys disclose various Barriers and Enablers in implementation of LSS in Indian manufacturing sectors as in below Barriers and Enablers in implementation of LSS in Indian manufacturing sectors Barriers Enablers New employees are reluctant New employees are trained in analysis methodology Little steps initiate to eliminate waste Democratic talk about waste, to senior Quality leaders implements less tools of Quality leaders know about LSS LSS Employee follow mind numbing rules Customer satisfaction is tracked and reviewed Few employees implement quality tools Quality workshop organize regularly Quality of product still lag to world class Cross business linked with customer needs Suppliers not involved in organization Suppliers support new SPC technology/requirements 7. LIMITATIONS OF THE STUDY Following are some of the limitation of this study: (a). Sample size of 7 manufacturing sectors appears to be small, it can be extended to companies located in other parts of India too. More survey needs to make the results more representatives (b). Sample size is limited which is 62 respondents, it can be cover more respondents from top to bottom of organizations. REFERENCES [1] Gang Niu, Daniel Lau, Michael Pecht. (2010) PHM2010 Macau, IEEE [2] Mortimer A L., (2006) “Six Sigma: Effective handling of deep rooted quality problems” , Assembly Automation, Vol. 26, No.3, pp.200-204. [3] Duane K Allen, Phil Laure. (2006) “Exploiting Lean Sigma quality tools to improve test and other process” 1-4244-0052-X/06/$20.00 ©2006 IEEE. Pp 509-514 [4] http://indiabudget.nic.in(accessed on April 8, 2012). [5] Kifayah Amar and Douglas Davis. IMECS 2008 A Review of Six Sigma Implementation Frameworks and Related Literature”, Vol II19-21 March, 2008, Hong Kong [6] Swee S. KUIK, Sev V Nagalingam & Yousef Amer, “Implementation of Six Sigma methodology to improve supply chain network in the context of Malaysian manufacturing industries” [7] C V. Pantano, P. O’Kane and K. Smith.2006 cluster-based Six Sigma Deployment in Small and Medium Sized Enterprises”. IEEE, pp 788-792. 19