Method development and validation for preventive maintenance and repairs including materials and time studies
Conduct field data analysis to define optimal replacement intervals for elevator components during the life cycle
Simulate and assess how service plans impact equipment reliability and availability over the life time.
Contribute to the development of digital maintenance strategies including diagnostics, sensor integration, and remote failure mode detection
Act as a subject matter expert in service development projects in collaboration with other KTI teams, Business, Area and Frontlines
Requirements
MSc or BSc degree in a relevant field
Interest and experience in data-driven maintenance optimization and Reliability-Centered Maintenance (RCM) process
Familiar with design for maintainability principles, as well as preventive and predictive maintenance strategies
Experience with RAM (Reliability-Availability-Maintainability) simulations and related tools like ReliaSoft BlockSim, RCM++, Matlab or any other system simulation environments
Solid understanding of reliability engineering, condition monitoring technologies, and sensor applications (considered a strong asset)
Experience with Agile methodologies and related tools (considered a plus)
Knowledge of elevator and escalator systems (considered beneficial)
Excellent communication skills in English
A self-driven approach and a track record of delivering strong results.
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