This paper is published in Volume-3, Issue-2, 2017
Area
Lean Manufacturing
Author
Nareshkumar D. Chauhan, Dr. P. H Darji, Dr. M. N Qureshi
Org/Univ
C.U. Shah University, Wadhwan, Gujarat, India
Pub. Date
24 April, 2017
Paper ID
V3I2-1553
Publisher
Keywords
Lean Manufacturing, Automobile Industry, Critical Success Factors, Cronbach’s Alpha, SPSS

Citationsacebook

IEEE
Nareshkumar D. Chauhan, Dr. P. H Darji, Dr. M. N Qureshi. Analysis of Readiness Level and Comparison in Automobile Industry of Gujarat by Identification of Critical Success Factors, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nareshkumar D. Chauhan, Dr. P. H Darji, Dr. M. N Qureshi (2017). Analysis of Readiness Level and Comparison in Automobile Industry of Gujarat by Identification of Critical Success Factors. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Nareshkumar D. Chauhan, Dr. P. H Darji, Dr. M. N Qureshi. "Analysis of Readiness Level and Comparison in Automobile Industry of Gujarat by Identification of Critical Success Factors." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

The main purpose of this study is to identify the critical success factors within automobile industry of Gujarat. This study helps to find out the whether the organizations have the foundation to implement the lean tools and techniques. A survey is conducted within the automobile parts manufacturing organization of the Gujarat. The present study illustrates the reliability of the data obtained from the survey and analysis of the available data in terms of the critical success factors within the organization. Ultimately this study illustrates the present scenario of the awareness of the lean manufacturing in the organization as well as the primary tool needed to be considered while initiating the lean manufacturing implementation. Lean manufacturing offers waste-reducing strategies like the elimination and identification of the waste and also enhancing their productivity and competitiveness.