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Teemu Mäkiaho

DSc (Doctor of Science 2024, Tampere University, Finland)

Lifecycle Management Professional

Teemu has nearly 20 years of experience in lifecycle management across the defense and manufacturing industries, with a strong focus on Integrated Logistics Support (ILS), reliability, and condition monitoring.

His expertise covers strategic planning, ILS project leadership, data collection, machine learning, and advanced analytics to optimize maintenance strategies and system reliability.

He has managed international defense projects in Finland, Sweden, and South Africa, delivering results in ILS implementation, supply chain management, lifecycle cost analysis, and technical system support. His professional experience also covers extensive work with condition monitoring techniques and the development of cloud-based condition monitoring systems for large-scale data collection, analysis, and lifecycle support. In addition, his academic background includes doctoral research in mechanical and production engineering, with applied work on data-driven reliability modeling and predictive maintenance.

Teemu is skilled in aligning technical solutions with customer needs, facilitating informed decision-making, and delivering impactful training programs both in classroom and online environments. His combined industry and academic experience make him a versatile partner for organizations seeking to strengthen lifecycle performance, reduce operational risk, and enhance long-term system availability.

Pasi Lehtola

PhD (Doctor of Philosophy 1986, University of Jyväskylä, Finland)

Logistics Support Analysis (LSA) Expert

With over 35 years of experience in university-level teaching, research, and applied problem solving, Pasi has built deep expertise in Integrated Logistics Support (ILS). His background covers logical and mathematical modeling of systems and processes, optimization, simulation, and advanced data analysis.

He has contributed extensively to areas such as logistics support analysis, lifecycle cost estimation (LCC), investment calculations, supply chain efficiency, and quality management. Over his career, he has guided both students and industry professionals in applying analytical methods to real-world ILS challenges, including RAM considerations, reliability calculations, spare parts optimization, preventive maintenance planning, service life analysis, and decision-making under uncertainty.

Pasi combines academic knowledge with practical insights, making him a valued resource for organizations seeking robust analytical methods to strengthen lifecycle management and logistics performance.

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