The Labs research focuses on internet of Things (IoT) enabled smart and connected products/systems. Information technology revolution is turning modern engineering systems into smart and connected systems, which are defined by three characteristics: tangible physical components that comprise the system, connectivity among components that enables data acquisition and sharing, and smart data analytics and decision making capability. The IoT enabled systems have become increasingly available in practice. Some examples include:
The unprecedented data availability in smart and connected systems provides significant opportunities for smart data analytics and decision making for operations management but, at the same time, it reveals critical challenges. First, the high dimensional stream data with heterogeneity, diverse data types and functional nature often hinders establishing a unified analytics framework. Second, individual-level data has become available in large scale and consequently, there is a pressing need for individualized modeling and analysis. Lastly, the large amount of data provides significant opportunities for realistic data-driven decision making for operations management. Therefore, to truly fulfill the promise of smart and connected systems and facilitate the transformation from data-rich into decision-smart, novel data analytics and data-driven decision making methods are urgently needed.
Building upon the Lab’s methodological research, we have collaborated with many industries (General Motors, Toyota, Fiat Chrysler Automobiles, Welbilt, Pentair Manufacturing) to address real world problems in smart and connected systems. Some research accomplishments can be put into the following categories:
- Remote health monitoring for autonomous vehicles
- cloud-enabled smart manufacturing
- personalized remote healthcare systems with wearable devices
- customer-centered system information with IoT
- Large scale simulations and uncertainty quantification