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IJON
2002
154views more  IJON 2002»
13 years 7 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
EH
2005
IEEE
127views Hardware» more  EH 2005»
14 years 29 days ago
On the Robustness Achievable with Stochastic Development Processes
Manufacturing processes are a key source of faults in complex hardware systems. Minimizing this impact of manufacturing uncertainties is one way towards achieving fault tolerant s...
Shivakumar Viswanathan, Jordan B. Pollack
WSC
2004
13 years 8 months ago
Simulation-Based Advanced WIP Management and Control in Semiconductor Manufacturing
We develop a hierarchical distributed production planning and control methodology, called DISCS, for a large and unstable semiconductor manufacturing process. The upper layer of D...
Kazuo Miyashita, Tsukasa Okazaki, Hirofumi Matsuo
RC
1998
72views more  RC 1998»
13 years 7 months ago
Interval + Image = Wavelet: For Image Processing under Interval Uncertainty, Wavelets Are Optimal
In computer and electronic manufacturing, it is very important to be able to automatically check whether the surface mounted devices (SMD) are correctly placed on the printed circ...
Alejandro E. Brito, Olga Kosheleva
AUTOMATICA
1999
96views more  AUTOMATICA 1999»
13 years 7 months ago
Optimization of kanban-based manufacturing systems
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...
Christos G. Panayiotou, Christos G. Cassandras