Dr. A. D. Sarode
N. B. Tambe
M. B. Sorte
Abstract
Today, organizations that wish to carry on the sustainable growing need a robust strategic performance measurement and evaluation system because of changing demands of consumers, reduced product life cycle, competitive and globalised markets. In this study, a hypothesis is introduced and proposedfor improving the on time delivery and evaluation quality. The new approach considers dependent variables in evaluating performance for on time delivery based on effectiveness in one of the biggest motor manufacturing factory in India. This new methodology is realized in two steps. In the first stage, evaluation is performed by using Matrix Collinearity, Multicollinearity this term is used in the context of correlation matrices or covariance matrices, to describe the condition when one or more variables from which the respective matrix was computed are linear functions of other variables and then checking with T-Testfor dependent samples for finding statistical significance for relation between the respective variables in the population. The p-level in T-Test represents the probability of error that is involved in accepting our observed result as valid, that is, as "representative of the population." is utilized in finding the ranking of variables. As a result, comparing with the present system applied by the motor factory, the new method seems to be some advantages and superiorities for implementing better supply chain management system to take the decision in accepting the suitable orders in a motor factory of India.
Keywords- supply chain management, delivery performance.