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Dealing with Complexity in Manufacturing Systems
Published on Dec 23, 20113340 Views
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Chapter list
Dealing with Complexity in Manufacturing Systems00:00
Introduction01:48
Part 1: Complexity in manufacturing03:06
Why studying complexity in manufacturing systems?03:13
References of the research group05:09
Definition of complexity06:25
Definition of complexity in engineering07:27
To reduce or not to reduce complexity?08:08
Definition of complexity in manufacturing systems09:18
Complexity issue in manufacturing systems11:24
Drivers of complexity in manufacturing systems12:14
The basic problem of manufacturing13:40
Classic approach to solving of the problem14:02
Complexity curve from the control problem perspective14:56
Modern approach to control in manufacturing16:28
Is complexity a nightmare or a challenge?17:11
Part 2: A method for assessing operational complexity18:12
Manufacturing complexity research18:36
Manufacturing complexity research (cont.)20:26
Computational mechanics: Introduction23:50
Computational mechanics: Basics24:52
Causal stated25:28
ε - machines26:43
ε - machines examples27:11
Statistical complexity28:08
Example statistical complexities28:51
Excess entropy and efficiency of prediction29:48
Computational mechanics: Summary30:45
Complexity assessment method - 131:28
Complexity assessment method - 231:56
Case study: Introduction32:33
Case study: Method34:18
Case study: Characteristic results - 135:02
Case study: Characteristic results - 236:41
Case study: Characteristic results - 337:38
Conclusions - 138:24
Conclusions - 239:12
Part 3: Learning loop in a die casting work system39:50
Introduction41:43
Knowledge discovery and data mining42:26
CoCAST - 142:31
CoCAST - 244:11
CoCAST - 344:41
CoCAST - 445:22
Monitoring45:27
Model of a Self-learning autonomous work system - SL.AWS45:59
Learning loop in SL.AWS47:28
Adaptive control of the die casting process based on discovered knowledge47:30
Data structure48:04
Implementation of data mining methods48:57
Knowledge model49:51
Knowledge meta-model for die casting50:32
Case study - 151:05
Case study - 252:01
Case study - 352:16
Case study - 453:11
Visualization of parameters and data clusters53:22
Case study - 553:53
Case study - 654:32
Case study - 755:08
Case study - 855:41
Case study - 955:48
Case study - 1056:12
Case study - 1156:28
Case study - 1257:05
Case study - 1357:09
Case study - 1457:13
Conclusions - 157:17
Conclusions - 259:43
Part 4: Demonstrations01:00:37
Online monitoring of welding parameters - 101:01:09
Online monitoring of welding parameters - 201:02:07
Hydropower plant monitoring and control01:04:11
Statistical process control01:06:32
Thank you for your attention!01:11:59