Authors : Yadushree A; Dr. Venkatesh Kumar N

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/34jxf9wj

Scribd : https://tinyurl.com/mtx2fn8v

DOI : https://doi.org/10.5281/zenodo.14944961

Abstract : 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.

Keywords : Supply Chain Resilience, Undeclared Rejections, Emergency Parts Ordering, Holt-Winters Model, Root Cause Analysis.

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