Optimization of Printing Equipments Through Overall Equipment Effectiveness (OEE) Measures

Authors

  • Humna Ameer Department of Industrial Engineering and Management, PNEC, NUST, Karachi, Pakistan Author
  • Muhammad Dawood Idrees Department of Industrial Engineering and Management, DUET, Karachi, Pakistan Author
  • Muhammad Talha Khan Department of Industrial Engineering and Management, DUET, Karachi, Pakistan Author
  • Arsalan Ansari Dawood Department of Electronics Engineering, DUET, Karachi, Pakistan of Engineering and Technology, Karachi Author
  • Atif Jamil Department of Computer Science, DUET, Karachi, Pakistan Author
  • Sadam Ali Khichi Department of Metallurgy and Materials Engineering, DUET, Karachi, Pakistan Author
  • Syed Izhar Hussain Zaidi Directorate of Information and Communication Technology (ICT), DUET, Karachi, Pakistan Author

DOI:

https://doi.org/10.52584/

Keywords:

Overall Equipment Effectiveness (OEE); Single Minute exchange of Die (SMED); Planned Maintenance (PM), Delay in setup time; Printing Machine

Abstract

This research investigates the implementation of Overall Equipment Effectiveness (OEE) as a key performance metric to optimize productivity in a packaging industry using offset printing technology. The problem identified was high production waste and machine downtime, particularly in the OP-18 printing unit. The study applied a structured methodology involving Time and Motion Study (TMS), Single Minute Exchange of Dies (SMED), Planned Maintenance (PM), and Group Dependent Scheduling (GDS) to enhance equipment performance. OEE was calculated based on three core components: Availability, Performance, and Quality. Initial observations revealed an average OEE of 28%, primarily due to mechanical failures, prolonged setup times, and inconsistent machine speed. After systematic implementation of the proposed strategies, the OEE improved to 56%, with Availability increasing from 60% to 90% and Performance from 54% to 66%, while maintaining Quality at 95%. The results demonstrate that targeted lean manufacturing tools can significantly enhance equipment efficiency in industrial settings. This model provides a framework for replication across similar processes. Future work includes exploring the impact of input materials on quality and testing the scalability of this model in other industrial sectors.

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Published

2025-06-30