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Platform for Intelligent Automation in a Pharmaceutical Laboratory
The acquisition, processing, and utilization of data have become fundamental drivers behind the adoption of emerging technologies such as Cyber-Physical Systems (CPS), the Internet of Things (IoT), predictive maintenance, dynamic scheduling, big data analytics,…
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Detecting Hidden Failures in Cryogenic Pumps by Combining Artificial Neural Networks and Simulation
Artificial Neural Network (ANN) can offer valuable support by predicting the motor’s energy consumption over time based on any operating condition, and comparing it to actual energy usage to detect potential malfunctions.
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Service Network Design By Combining Expert knowledge and Machine learning Techniques
Service network design and delivery have a wide range of applications, spanning industries such as manufacturing-oriented product service networks, emergency medical services, agricultural maintenance networks, supply chain logistics, and maintenance service networks. In many…
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Demand Forecasting with Deep Reinforcement Learning
Implementing deep reinforcement learning based demand forecasting for a leading global semiconductor components distributor who has to deal with a huge number of short life cycle products with very different demand patterns and potential…
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US federal government contracting for disaster management
In a recently published article, my co-author and I focus on the issue of contracting by US federal agencies in response to disasters. Specifically, we investigate the choice of procurement contract type…
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Virtuous spillover effects of quality penalties on the continuity of health care
In a recently published article my co-authors and I examine two effects of the quality penalties on an important determinant of health-care quality, namely, continuity of care for ailments targeted (intra-ailment effects) and ailments…












