Manufacturing organizations continually adopt quality improvement strategy to gain competitive edge in current competitive market and fulfill the customers demand. Lean approach and Six Sigma approach are two quality improvement tools extensively used to improve quality and bottom line result. Lean manufacturing generally used to eliminate waste and Six Sigma approach used for reducing the defects in manufacturing process by eliminating the process variation with help of statistical tools and techniques. The objective of this study is to recognize the importance of Lean Six Sigma CSFs for implementing Lean Six Sigma strategy into manufacturing organization. Further the Interpretative Structural Modelling (ISM) approach used for establishing the connection between the identified CSFs and establish them in different level of hierarchy. The organized level of CSFs helps to adopt CSFs during LSS framework implementation process. This study will help both academician and professionals to explore CSFs for successful implementation of Lean Six Sigma framework in their organization.

1.
S. S.
Chakravorty
and
A. D.
Shah
,
Lean Six Sigma (LSS): an implementation experience
(
European Journal of Industrial Engineering
,
2012
), pp.
118
137
.
2.
S. J.
Raval
,
R.
Kant
and
R.
Shankar
,
Revealing research trends and themes in Lean Six Sigma: from 2000 to 2016
(
International Journal of Lean Six Sigma
,
2018
), pp.
399
443
.
3.
V.
Swarnakar
and
S.
Vinodh
,
Deploying Lean Six Sigma framework in an automotive component manufacturing organization
, (
International Journal of Lean Six Sigma
,
2016
), pp.
267
293
.
4.
S.
Vinodh
and
V.
Swarnakar
,
Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS
, (
International Journal of Lean Six Sigma
,
2015
), pp.
313
338
.
5.
A. A.
King
and
M. J.
Lenox
,
Does it really pay to be green? An empirical study of firm environmental and financial performance: An empirical study of firm environmental and financial performance
(
Journal of Industrial Ecology
,
2001
), pp.
105
116
.
6.
G. G.
Bergmiller
and
P. R.
McCright
,
Are Lean and Green Programs Synergistic?
(
Industrial Engineering Research Conference
,
Miami, Florida, USA
,
2009
), pp.
1155
1160
.
7.
G.
Yadav
and
T. N.
Desai
,
Development of Enabler Based Hierarchical Structure to Facilitate the Implementation of Lean Six Sigma
, (
Industrial Engineering Journal
,
2017
), pp.
36
43
.
8.
J. R.
Jadhav
,
S. S.
Mantha
, and
S. B.
Rane
,
Development of framework for sustainable Lean implementation: an ISM approach
, (
Journal of Industrial Engineering International
,
2014
), pp.
72
.
9.
J. R.
Jadhav
,
S. S.
Mantha
, and
S. B.
Rane
,
Roadmap for Lean implementation in Indian automotive component manufacturing industry: comparative study of UNIDO Model and ISM Model
, (
Journal of Industrial Engineering International
,
2015
), pp.
179
198
.
10.
S. J.
Raval
,
R.
Kant
and
R.
Shankar
,
Lean Six Sigma implementation: modelling the interaction among the enablers
, (
Production Planning & Control
,
2018
), pp.
1010
1029
.
11.
S.
Kumar
,
S.
Luthra
,
K.
Govindan
,
N.
Kumar
, and
A.
Haleem
,
Barriers in green lean six sigma product development process: an ISM approach
, (
Production Planning & Control
,
2016
), pp.
604
620
.
12.
R.
Ben Ruben
,
S.
Vinodh
, and
P.
Asokan
,
ISM and Fuzzy MICMAC application for analysis of Lean Six Sigma barriers with environmental considerations
, (
International Journal of Lean Six Sigma
,
2018
), pp.
64
90
.
13.
A. Pal
Pandi
,
P. V. Rajendra
Sethupathi
, and
D.
Jeyathilagar
,
The IEQMS model for augmenting quality in engineering institutions–an interpretive structural modelling approach
, (
Total Quality Management & Business Excellence
,
2016
), pp.
292
308
.
14.
G.
Yadav
and
T. N.
Desai
,
Analyzing Lean Six Sigma enablers: a hybrid ISM-fuzzy MICMAC approach
, (
The TQM Journal
,
2017
), pp.
488
511
.
15.
J.
Thakkar
,
A.
Kanda
and
S. G.
Deshmukh
,
Evaluation of buyer-supplier relationships using an integrated mathematical approach of interpretive structural modeling (ISM) and graph theoretic matrix: the case study of Indian automotive SMEs
, (
Journal of Manufacturing Technology Management
,
2007
), pp.
92
124
.
16.
S.
Luthra
,
K.
Govindan
,
D.
Kannan
,
S. K.
Mangla
and
C. P.
Garg
,
An integrated framework for sustainable supplier selection and evaluation in supply chains
, (
Journal of Cleaner Production
,
2017
), pp.
1686
1698
.
17.
G.
Kannan
,
S.
Pokharel
and
P. S.
Kumar
, A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider, (
Resources
,
conservation and recycling
,
2009
), pp.
28
36
.
18.
J. N.
Warfield
, Developing subsystem matrices in structural modeling, (
IEEE Transactions on Systems
,
Man, and Cybernetics
,
1974
), pp.
74
80
.
19.
J. N.
Warfield
, Implication structures for system interconnection matrices, (
IEEE Transactions on Systems
,
Man, and Cybernetics
,
1976
), pp.
18
24
.
20.
V. R.
Sreedharan
, and
M. V.
Sunder
,
Critical success factors of TQM, Six Sigma, Lean and Lean Six Sigma: a literature review and key findings
, (
Benchmarking: An International Journal
,
2018
), pp.
3479
3504
.
21.
A.
Laureani
and
J.
Antony
,
Leadership–a critical success factor for the effective implementation of Lean Six Sigma
, (
Total Quality Management & Business Excellence
,
2018
), pp.
502
523
.
22.
A.
Laureani
and
J.
Antony
,
Leadership and Lean Six Sigma: A systematic literature review
, (
Total Quality Management & Business Excellence
,
2019
), pp.
53
81
.
23.
V. R.
Sreedharan
and
M. V.
Sunder
,
A novel approach to lean six sigma project management: a conceptual framework and empirical application
, (
Production Planning & Control
,
2018
), pp.
895
907
.
24.
G.
Yadav
,
D.
Seth
, and
T. N.
Desai
,
Prioritising solutions for Lean Six Sigma adoption barriers through fuzzy AHP-modified TOPSIS framework
, (
International Journal of Lean Six Sigma
,
2018
), pp.
270
300
.
This content is only available via PDF.
You do not currently have access to this content.