In batch manufacturing, optimizing processes for consistent yields and quality standards remains a top priority. Yet, the intricacies of batch operations often pose challenges in…
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Machine Learning and First Principle Models for Process Optimization
Machine learning and first principle models are two widely discussed approaches for process optimization nowadays. First principle models, which are also referred as dynamic models,…
Continue ReadingThe Future of manufacturing
This is what the future looks like in 2030: “AI-centric control systems run manufacturing plants by optimizing high-level objectives and following constraints and other instructions…
Continue ReadingBridging the gap between AI and industrial controls
Our paper titled SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments has recently been accepted by NeurIPS 2022, Datasets and Benchmarks Track. In this…
Continue ReadingManufacturing needs MVDA: An introduction to modern, scalable multivariate data analysis
Although there are speed efficiencies that can be achieved by successfully digitizing the enterprise, the competitive advantages will be gained by achieving a new level…
Continue ReadingThe Current Challenges of Life Science Manufacturing Require the Adoption of Modern Solutions
In the last 2 – 3 years, Life Science industry supply chain disruptions highlighted the need for high-performance, distributed manufacturing that can accelerate the delivery…
Continue ReadingBridge the gap between Process Control and Reinforcement Learning with QuarticGym
Modern process control algorithms are the key to the success of industrial automation. The increased efficiency and quality create value that benefits everyone from the…
Continue ReadingAI-driven Automation: a Stepping Stone to Autonomous Process Control
Our research mission is to bring the best intelligent autonomy to manufacturing. Undoubtedly, AI-driven industrial control is a big part of it. At NeurIPS 2021…
Continue ReadingOptimizing Continuous Manufacturing Processes
This is a joint work of Benjamin Decardi-Nelson, Jerry Cheng, and Mohan Zhang. The future of manufacturing is continuous and autonomous. Compared to batch manufacturing,…
Continue ReadingOptimization with Offline Reinforcement Learning
We showed that when you are early in your digitalization journey where you only have access to manipulated variables (e.g. sugar feed rate) and the outcome (e.g. yield), you…
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