Impact of Training and Skill Development Programs on Machine Operator Performance in Manufacturing Industries
Year: 2026
Type: article
Study design: Observational Study
Abstract: This study investigates the effectiveness of training and skill development programs in enhancing machine operator performance within manufacturing and uPVC (unplasticized polyvinyl chloride) industries. Machine operators are central to production efficiency, yet organizations frequently contend with persistent skill gaps, inconsistent competency levels, and inadequate training evaluation mechanisms. Adopting a descriptive research design with a structured questionnaire administered to 100 respondents, this study empirically measures pre- and post-training outcomes using a 5-point Likert scale. Statistical tools including descriptive statistics, Pearson correlation, and chi-square tests are employed to examine relationships between training inputs—such as duration, method, content quality, and trainer expertise—and performance outcomes including machine-handling skills, error reduction, machine downtime, productivity, and safety compliance. Mediating variables such as operator confidence and safety awareness are incorporated into the conceptual model. Findings reveal that 63% of respondents reported significant improvements in machine-handling proficiency following structured training interventions, while 58% acknowledged enhanced productivity and 63% reported improved task efficiency. The study further identifies that blended training approaches combining classroom instruction, on-the-job practice, and simulator-based modules yield superior outcomes compared to single-mode delivery. These results provide actionable insights for HR practitioners seeking to redesign training frameworks, optimize competency development, and reduce operational risks in industrial settings.
Authors: R. Soundariya, M. Showmiyan
Institution: Hindustan Institute of Technology and Science
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7160716858
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