Improving Meal Break Efficiency Using Six Sigma to Minimize Operational Delay: A Case Study of the Mining Sector in Indonesia
DOI:
https://doi.org/10.38035/jafm.v7i2.3338Keywords:
Operational Efficiency, Internal Delay, Mining Operations, Staggered Meal Break, Time UtilizationAbstract
Operational efficiency in mining operations is strongly influenced by effective working time utilization, particularly in shift based systems where equipment productivity directly affects production performance. One significant source of inefficiency is Internal Operational Delay (IOD), especially delays caused by meal break execution. This study investigates the impact of meal break implementation on operational delays and proposes an improvement strategy to enhance efficiency in mining operations in Indonesia. The research applies the Six Sigma DMAIC (Define Measure Analyze Improve Control) methodology to identify, measure, and improve inefficiencies related to meal break activities. Statistical process control using Individuals Moving Range (XmR) charts was employed to assess process variability and stability. Root causes were analyzed using Pareto analysis, Fishbone Diagram, Root Cause Validation, and Cause Prioritization Matrix. The findings reveal that simultaneous meal breaks create a “wave effect,” causing multiple units to become idle simultaneously and reducing equipment utilization. Process-related issues were identified as the most dominant and controllable factors. The proposed improvement is a staggered meal break system, which maintains operational continuity and reduces idle time. The study concludes that optimizing meal break execution can significantly reduce IOD and improve Primary Working Time (PWT), contributing to more stable and efficient mining operations.
References
Alomar, I., & Nikita, D. (2025). Predictive maintenance and spare-parts optimization using hybrid forecasting models to reduce equipment downtime. Applied Sciences, 15(2), 945.
Atakhanova, Z., & Azhibay, S. (2023). Labor productivity in mining under resource depletion and economic pressure: Evidence from Kazakhstan. Resources Policy, 85, 103987.
Bicheno, J., & Holweg, M. (2009). The lean toolbox: The essential guide to lean transformation (4th ed.). Picsie Books.
Coutinho, H. L., Pereira, B. I., Pinto, R. J. L., Lima, H. M., & Costa, L. V. (2024). Application of Lean Six Sigma to improve productivity of truck–excavator fleets in mining operations. International Forum on Clean Energy (IFC) 2024 Proceedings.
Fursule, N. V., Bansod, S. V., & Fursule, S. N. (2012). Understanding the Benefits and Limitations of Six Sigma Methodology. International Journal of Scientific and Research Publications, 2(1).
George, M. L. (2002). Lean Six Sigma: Combining Six Sigma quality with Lean production speed. McGraw-Hill.
Heizer, J., & Render, B. (2011). Short-Term Scheduling. . In Principles of Operations Management.
Heizer, J., Render, B., & Munson, C. (2017). Operations management : sustainability and supply chain management. Pearson Education Limited.
Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed). Arizona State University.
Pathan, S. M., Pathan, A. G., & Memon, M. S. (2024). Analysis of operational delays in dumper cycles of open-pit mining operations. IEOM Society International Conference Proceedings.
Powell, T., & Bonnici, T. S. (2015). Pareto Analysis.
Pyzdek, T. (2003). The Six Sigma handbook: A complete guide for green belts, black belts, and managers at all levels. McGraw-Hill.
Vallejo, A. A. D., Acosta, F. J. G., Ibanez, C. R., & Rojas, V. S. A. (2023). Continuous improvement model under the Lean Six Sigma and KPIs approach to reduce unproductive times in the loading and hauling stage in surface mining. 2023 Congreso Internacional de Innovación y Tendencias En Ingeniería (CONIITI), 1–6.
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