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» Optimal production control of a failure-prone machine
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ECML
2006
Springer
13 years 11 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
WSC
2008
13 years 9 months ago
Knowledge-based event control for flow-shops using simulation and rules
The requirements on production systems and their planning and control systems are constantly growing. Systems have to be flexible and provide viable solutions at the same time. Di...
Mark Aufenanger, Wilhelm Dangelmaier, Christoph La...
WWW
2007
ACM
14 years 8 months ago
A scalable application placement controller for enterprise data centers
Given a set of machines and a set of Web applications with dynamically changing demands, an online application placement controller decides how many instances to run for each appl...
Chunqiang Tang, Malgorzata Steinder, Mike Spreitze...
WSC
2008
13 years 9 months ago
Simulations-based and solver-based optimization approaches for batch processes in semiconductor manufacturing
Scheduling is one of the key factors for semiconductor fabrication productivity. Objectives like lot cycle time and throughput must be optimized to push the technological developm...
Andreas Klemmt, Sven Horn, Gerald Weigert, Thomas ...
ENGL
2007
103views more  ENGL 2007»
13 years 7 months ago
Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...
Stefania Gallova