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Open Data The dataset supporting the findings of this study is openly available in the Zenodo repository under the title “A Smart Manufacturing Approach to Enhancing the Reliability of Visual Inspection in the Automotive Industry”, DOI: 10.5281/zenodo.17649175. The dataset includes anonymized production-inspection records collected during the smart-manufacturing improvement initiative in the automotive industry. Specifically, it comprises monthly data on loading time, downtime, retry time, operating time, total output, cycle time, and calculated OEE components (Availability, Performance, and Quality rates). It also contains sensor capability index (Cpk) measurements reflecting the accuracy and stability of the camera-based visual inspection system before and after the intervention. All data have been fully anonymized and do not contain product codes, machine identifiers, operational timestamps, financial indicators, or any personally identifiable information (PII). The dataset is strictly technical in nature and is statistically consistent with the reliability and performance trends reported in the study, thereby enabling transparency, reproducibility, and methodological validation while adhering to ethical and corporate data-governance requirements. Open Contributorship This research was conducted collaboratively by the author team from the Industrial Engineering Department, BINUS Online Learning, Bina Nusantara University, following the Open Contributorship principles and the CRediT taxonomy. Andryan Nugraha contributed to Conceptualization, Problem Formulation, Methodology, Data Curation, and Formal Analysis, including OEE computation, downtime evaluation, sensor capability assessment (Cpk), and pre and post improvement studies, ensuring data consistency, completeness, and anonymization for open-data publication. Hubertus Davy Yulianto provided Supervision, Methodological Validation, and Review of Analytical Rigor, ensuring alignment with industrial engineering principles, visual inspection system design, and applied manufacturing research standards. Irma Ratna Avianti was responsible for Technical Review, Quality Assurance, Refinement of Interpretation, and Writing, including Review and Editing, guiding discussion formulation, validation of inspection system improvements, and adherence to academic writing and publication standards. The author team collectively handled Visualization, Manuscript Finalization, and Dataset Documentation, ensuring coherent presentation of results, figures, and supplementary materials for Zenodo publication. All authors have read and approved the final manuscript and take full responsibility for its accuracy, integrity, and scholarly quality. The authors endorse the Open Contributorship framework and commit to making associated datasets, analytical templates, and methodological resources openly accessible to support replication, industrial application, and wider academic dissemination.