A Study on Optimizing Supply Chain Resilience: Emergency Parts Ordering Analysis

This research addresses the issue of undeclared rejections leading to emergency parts ordering in the automotive supply chain, a critical factor disrupting production efficiency. Undeclared rejections, and defects found during production rather than initial inspections, contribute significantly to unexpected shortages. Using the Holt-Winters model, the study analyzes 15 months of data to predict rejection trends and identify the root causes of these disruptions. Statistical tools, including ANOVA and autocorrelation analysis, reveal management and handling issues as key contributors. The findings highlight the need for improved practices to enhance supply chain resilience, reduce emergency orders, and maintain operational stability.