Conference Proceedings
Application of Computers & Operations Research in the Minerals Industry (APCOM) Proceeding 2025
Conference Proceedings
Application of Computers & Operations Research in the Minerals Industry (APCOM) Proceeding 2025
Breaking down silos - enhancing mining operations through Agile collaboration and data-driven decision-making
PT. Pamapersada Nusantara (PAMA) embarked on a digital transformation journey to optimise productivity and decision-making at its Berau Coal Binungan (BRCB) mining district. By adopting Scrum, PAMA successfully broke down traditional organisational silos and fostered a data-driven culture. The implementation of Scrum resulted in significant improvements in the productivity of key machinery. The Excavator PC20008 achieved a 17 per cent increase in output, from 597 Bcm/hrs to 697 Bcm/hrs. Similarly, the Excavator EX2600 experienced an 8 per cent increase, and the Heavy Dumptruck saw a 9.4 per cent improvement in efficiency. These gains can be attributed to the iterative nature of Scrum, which enabled rapid experimentation and continuous improvement. A real-time performance dashboard, developed as part of the Scrum initiative, provides valuable insights into operational performance. By visualising data from multiple sources, the dashboard empowered decision-makers to make data-driven decisions and identify areas for optimisation. The success of the Scrum implementation at the BRCB prompted a broader rollout across other PAMA districts, including KIDECO, BRCG, and KPCB. The expanded adoption of Scrum fostered a company-wide culture of innovation and agility. This case study demonstrates the transformative power of Scrum in the mining industry. By aligning data analytics with operational goals and empowering teams to collaborate, PAMA achieved significant productivity gains and enhanced decision-making capabilities. Scrum has proven to be a valuable framework for organisations seeking to improve operational efficiency and drive sustainable growth.
Contributor(s):
Elisa, D Farascarina
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- Published: 2025
- Unique ID: P-04763-Z8R5W2