Paper Contents
Abstract
This research paper presents a simulation-based comparative analysis of Just-In-Time (JIT) and traditional push-based manufacturing systems, focusing on their performance in reducing lead time, minimizing work-in-process (WIP), and enhancing overall system responsiveness. Using MATLAB SimEvents, a discrete-event simulation model was developed to replicate a supplierprocessorcustomer chain under both production paradigms. Key performance metrics, including average lead time, WIP fluctuations, delivery delays, and inventory levels, were evaluated through multiple simulation runs.The results reveal that the JIT system consistently outperformed the push system across all key indicators. Notably, the JIT model achieved a 33% reduction in average lead time and maintained lower, more stable WIP levels. Visual tools such as cumulative lead time plots, histograms, boxplots, and scatter plots further illustrated the dynamic behavior of both systems. These findings confirm that JIT systems not only improve flow efficiency but also enhance predictability and system stability.This study validates the effectiveness of pull-based production strategies through simulation and provides a foundational framework for further exploration of hybrid models, cost-based optimization, and real-time adaptive controls in modern manufacturing environments.
Copyright
Copyright © 2025 Vineet Sahu. This is an open access article distributed under the Creative Commons Attribution License.
