This study presents an in-depth analysis of productivity and error rates in a textile manufacturing company in Egypt. Utilizing a comprehensive dataset that includes productivity rates, rework, and waste, the study employs Analysis of Variance (ANOVA) and Tukey’s Honest Significant Difference (HSD) test to examine hourly variations in production output and error rates. The analysis showed significant differences in production and error rates exist, particularly with the first hour being significantly different from subsequent hours. Post hoc analysis identifies that the highest production occurs after the lunch break, suggesting a positive impact of breaks on productivity. The study also highlights significant variations in error rates, emphasizing the importance of understanding these fluctuations for improving manufacturing performance. Overall, this research underscores the value of detailed hourly analysis in optimizing production efficiency and minimizing errors.

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The Relationship Among Working Hours, Worker Productivity and Errors Produced in Textile Manufacturing

  • Benjamin Duraković,
  • Celal Emek

摘要

This study presents an in-depth analysis of productivity and error rates in a textile manufacturing company in Egypt. Utilizing a comprehensive dataset that includes productivity rates, rework, and waste, the study employs Analysis of Variance (ANOVA) and Tukey’s Honest Significant Difference (HSD) test to examine hourly variations in production output and error rates. The analysis showed significant differences in production and error rates exist, particularly with the first hour being significantly different from subsequent hours. Post hoc analysis identifies that the highest production occurs after the lunch break, suggesting a positive impact of breaks on productivity. The study also highlights significant variations in error rates, emphasizing the importance of understanding these fluctuations for improving manufacturing performance. Overall, this research underscores the value of detailed hourly analysis in optimizing production efficiency and minimizing errors.