The purpose of this study is to develop and test an architecture for Supply Chain Management Practices (SCMP) that takes into account delay, levels of information flow, and strategic supplier alliances. To find out how these traits impact the performance of manufacturing firms (MFP), the study uses linear regression, ANOVA, and Pearson correlation to examine data from 100 top executives in Andhra Pradesh manufacturing organisations.
Results show that sharing knowledge improves MFP, while delay and strategic supplier agreements don’t help at all. Importantly, the study indicated that higher SCMP levels boost firm and supply chain performance; this is helpful information for SCM evaluations by supply chain managers.
The findings of this pioneering study on supply chain management (SCM) in the manufacturing sector of Andhra Pradesh have important consequences for developing nations. Because growing the manufacturing sector and associated supply chains is essential to a flourishing economy, the results of this study couldn’t be more relevant