32 citations · 56 across the 15 of their papers we have counts for
15 papers
Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems
Mingjie Bi, Ilya Kovalenko, Dawn M. Tilbury +1
The COVID-19 pandemic brings many unexpected disruptions, such as frequently shifting markets and limited human workforce, to manufacturers. To stay competitive, flexible and real-…
A Multi-objective Mixed-integer Programming Approach for Supply Chain Disruption Response with Lead-Time Awareness
Juan-Alberto Estrada-Garcia, Mingjie Bi, Dawn M. Tilbury +2
Supply chain (SC) risk management is influenced by both spatial and temporal attributes of different entities (suppliers, retailers, and customers). Each entity has given capacity…
Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion
Ilya Kovalenko, Kira Barton, James Moyne +1
Rapid advances in artificial intelligence (AI) have the potential to significantly increase the productivity, quality, and profitability in future manufacturing systems. Traditiona…
Considerations for Task Allocation in Human-Robot Teams
Arsha Ali, Dawn M. Tilbury, Lionel P. Robert
In human-robot teams where agents collaborate together, there needs to be a clear allocation of tasks to agents. Task allocation can aid in achieving the presumed benefits of human…
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions
Mingjie Bi, Gongyu Chen, Dawn M. Tilbury +2
Due to the COVID-19 pandemic, the global supply chain is disrupted at an unprecedented scale under uncertain and unknown trends of labor shortage, high material prices, and changin…
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation
Efe C. Balta, Kira Barton, Dawn M. Tilbury +2
Learning-based control methods utilize run-time data from the underlying process to improve the controller performance under model mismatch and unmodeled disturbances. This is bene…