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.
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3 September 2019
1ST INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND NANOTECHNOLOGY (ICAMEN 2019)
8–9 March 2019
Jaipur, India
Research Article|
September 03 2019
Evaluating importance of critical success factors in successful implementation of Lean Six Sigma framework
Vikas Swarnakar;
Vikas Swarnakar
a)
1
Department of Mechanical Engineering, National Institute of Technology
, Raipur-492010, Chhattisgarh, India
a)Corresponding author: [email protected]
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A. R. Singh;
A. R. Singh
b)
2
Department of Mechanical Engineering, National Institute of Technology
, Raipur-492010, Chhattisgarh, India
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Anil. Kr. Tiwari
Anil. Kr. Tiwari
c)
3
Department of Mechanical Engineering, National Institute of Technology
, Raipur-492010, Chhattisgarh, India
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AIP Conf. Proc. 2148, 030048 (2019)
Citation
Vikas Swarnakar, A. R. Singh, Anil. Kr. Tiwari; Evaluating importance of critical success factors in successful implementation of Lean Six Sigma framework. AIP Conf. Proc. 3 September 2019; 2148 (1): 030048. https://doi.org/10.1063/1.5123970
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