Focuses on tools for physical asset management decisions that are data driven
Uses a solid theoretical foundation to the tools (mathematical models) that can be used to optimize a variety of key maintenance/replacement/reliability decisions
Demonstrates applications in a variety of sectors, including food processing, petrochemical, steel industry, pharmaceutical industry, military, mining, and transportation (land and air)
Discusses the role of emerging technologies in physical asset management, such as big data analytics, artificial intelligence, digital twins, IoT, and cyber physical systems
Introduces ISO 5500 and the asset management maturity model
