Fabian Cardenas

- Leveraged Generative AI to connect KPI deviations with root cause analysis and faster corrective actions. - Gained deep exposure to large-scale automation and technology in last-mile logistics. - Learned Amazon's management system: lean management, standard work, and metrics-based performance reviews.

Led the end-to-end scaling of autonomous fleet technology by designing and executing a roadmap that aligned stakeholders around a common objective, leveraging Lean Six Sigma and data analytics to drive operational performance improvements, and managing cultural and behavioral change across the organization. Achievements: - Improved OEE from 40% to 70%, through structured analysis, optimizing scheduled maintenance intervals, standardizing operating procedures, enhancing spare parts availability planning, tuning inertial navigation systems, anti-colissions system, Radar and Lidar technology, implementing daily performance routines. - Upskilled 100% of supervisors and 50% of front-line operators to operate under the new operational model. - Facilitated cross-company benchmarking workshops (BHP, Freeport, Rio Tinto) to share best practices. - Presented project results and automation performance outcomes to senior leadership, translating complex technical data into clear business recommendations.

Grasberg is the largest underground mine operation in the world. It is renowned for its complexity, remote location and extreme logistical conditions. This program was established as part of an agreement between Freeport and Codelco, focused on transfer capabilities and provide extensive training in automation, business planning, and operations management.

Led a team of 100+ personnel in "El Teniente" a massive underground operation, ensuring compliance with safety, production, and quality standards. Collaborated with maintenance, business planning, and external consultants (McKinsey&Company) to enhance organizational performance. Implemented world-class automation solutions (Sandvik Automine) and leveraged data analytics to improve operational efficiency. Achievements: -Achieved 120% of annual production targets with zero accident record. -Applied data analytics within a Lean Six Sigma; DMAIC, root cause analysis, frameworks to diagnose performance gaps and implement targeted productivity improvement across production sectors. -Served as committee member for underground mobile equipment evaluation and selection, providing operational and technical input to capital investment decisions on new equipment.

Implemented Lean Management across operations, including conducting data analyses to diagnose performance, applying tools such as Overall Equipment Effectiveness (OEE), root cause and bottleneck analyses, and defining Key Performance Indicators (KPIs).

Relevant coursework: - Corporate Finance - Global Corporate Strategy - Supply Chain Management

Anerkannt als gleichwertig mit einem deutschen Master Abschluss (ZAB/KMK)