Validation of JIT performance measure model through structural equation modelling
by Gurinder Singh; Inderpreet Singh Ahuja
International Journal of Process Management and Benchmarking (IJPMB), Vol. 5, No. 2, 2015

Abstract: The aim of the present study is to authenticate the previous study empirically, in which the significant performance measures of JIT for Indian manufacturing industries were obtained by fuzzy model using fuzzy logic toolbox of MATLAB for enhancing business performance. In the present work the confirmatory factor analysis (CFA) approach are used with the help of structural equation modelling (SEM) in AMOS 20.0 (analysis of moment structures) software. With this model of inter-relationship among JIT variables and performance measure is established. The data required for the research work have been collected through a JIT questionnaire from various Indian manufacturing industries. By using this collected data SEM model is constructed using AMOS 20.0 software. Also the present work confirms and validate JIT input and performance measure fuzzy model established in the previous study. Structural equation modelling of JIT's significant issues and performance measures have been developed and statistics of before and after modification indices of the model are compared. The study implies that the significant issues of JIT like %age of JIT implemented, and continuous improvement can be helpful for Indian manufacturing industries for having overall business performances in terms of employee satisfaction, technological and operational benefits, business benefits, production related benefits and customer related benefits.

Online publication date: Wed, 08-Apr-2015

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