The Influence of Robotic Automation on Production Processes in the Manufacturing Industry Including Cost, Time, and Quality Efficiency Using Statistical Data Analysis Methods

Robotic automation; CNC machine; production efficiency; product quality; operational costs; Paired Sample T-Test; manufacturing industry; Tube Connector.

Authors

  • Reza Ari Wardhana Industrial Engineering, Pelita Bangsa University Jl. Inspeksi Kalimalang-Tegal Danas, Cibatu, Cikarang Selatan, Bekasi, Jawa Barat 17530, Indonesia.
  • Nathanael Gracias Industrial Engineering, Pelita Bangsa University Jl. Inspeksi Kalimalang-Tegal Danas, Cibatu, Cikarang Selatan, Bekasi, Jawa Barat 17530, Indonesia.
  • Repa Industrial Engineering, Pelita Bangsa University Jl. Inspeksi Kalimalang-Tegal Danas, Cibatu, Cikarang Selatan, Bekasi, Jawa Barat 17530, Indonesia.
  • Yudi Prastyo Industrial Engineering, Pelita Bangsa University Jl. Inspeksi Kalimalang-Tegal Danas, Cibatu, Cikarang Selatan, Bekasi, Jawa Barat 17530, Indonesia.
December 22, 2025
December 24, 2025

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This study analyzes the effect of robotic automation implementation on the production process of car AC pipe tube connectors at PT. CKU with a focus on time efficiency, cost efficiency, and product quality.The research background is based on the company's need to increase productivity and quality consistency amidst the increasing demands of the automotive manufacturing industry market.The methods used include literature studies, field case studies, production process observations, and quantitative data analysis using the Paired Sample T-Test to compare the performance of manual and automatic processes.The results of the study showed that robotic automation was able to reduce production cycle time from 218 seconds to 185 seconds per unit, increase output per shift, and significantly reduce the defect rate from 2.30% to 0.30%.In addition, the need for manpower has decreased from 3 operators to 1 operator per shift, so the company's salary costs have also been significantly reduced.The statistical test results produced a significance value <0.05, which indicates that the difference in performance between the manual and robotic processes is statistically significant.Overall, this study proves that robotic automation is a viable and strategic investment for companies, as it can improve productivity, cost efficiency, process stability, and overall product quality.These findings can serve as a reference for the manufacturing industry in adopting robotic technology to increase competitiveness.