Fuzzy Sets in Engineering Design and Configuration

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Hans-Jürgen Sebastian, Erik K. Antonsson
Springer Science & Business Media, 06/12/2012 - 282 páginas
As understanding of the engineering design and configuration processes grows, the recognition that these processes intrinsically involve imprecise information is also growing. This book collects some of the most recent work in the area of representation and manipulation of imprecise information during the syn thesis of new designs and selection of configurations. These authors all utilize the mathematics of fuzzy sets to represent information that has not-yet been reduced to precise descriptions, and in most cases also use the mathematics of probability to represent more traditional stochastic uncertainties such as un controlled manufacturing variations, etc. These advances form the nucleus of new formal methods to solve design, configuration, and concurrent engineering problems. Hans-Jurgen Sebastian Aachen, Germany Erik K. Antonsson Pasadena, California ACKNOWLEDGMENTS We wish to thank H.-J. Zimmermann for inviting us to write this book. We are also grateful to him for many discussions about this new field Fuzzy Engineering Design which have been very stimulating. We wish to thank our collaborators in particular: B. Funke, M. Tharigen, K. Miiller, S. Jarvinen, T. Goudarzi-Pour, and T. Kriese in Aachen who worked in the PROKON project and who elaborated some of the results presented in the book. We also wish to thank Michael J. Scott for providing invaluable editorial assis tance. Finally, the book would not have been possible without the many contributions and suggestions of Alex Greene of Kluwer Academic Publishers. 1 MODELING IMPRECISION IN ENGINEERING DESIGN Erik K. Antonsson, Ph.D., P.E.

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Índice

Chapter
1
Chapter
10
5
24
11
30
Graphical User Interface
33
6
37
14
38
Chapter 2
48
Aggregation tree
225
4
227
1
234
Aspects for Modeling Uncertain Information
235
Presentation of uncertainties on a contents level described in EXPRESSG
238
Determining the informationmaturity
239
сл
241
EXPRESSG Model for structuring information using an object oriented schema
245

MULTIPLE OBJECTIVE DESIGN
53
Numerical Examples
71
Objective function values for single objective optimizations
82
3
85
Chapter 3
89
Conceptual Hierarchy an example
98
11
104
15
111
17
117
21
125
Basic Algorithm of Sequential Configuration
132
23
138
A selection of existing space launch systems
145
32
151
37
160
40
168
5
169
Linguistic variable Style of object car
174
44
181
6
182
46
191
51
201
Fuzzy Sets to model EmissionlevelofSourceregionk
212
Architecture of the Overall Modelling Approach
219
A special requirement model
222
Fuzzy constraint Desired Cost Level
224
First step for the use of informationmaturity in Simultaneous Engineering
246
Second and third step for the use of informationmaturity in Simultaneous Engineering
247
Conclusion
249
པ APPLICATION OF THE FUZZY AHP METHOD FOR ASSESSING ALTERNATIVE PRODUCTION CYCLES M Weck F Klocke H Schell and E ...
251
Introduction
252
Selecting which Assessment Method to Apply
253
Structuring the decisionmaking problem and deriving a suit able method of assessment
254
Extract of the hierarchy in a decisionmaking problem
255
Methods of Weighting and Assessing Stages of Production
256
Determining Kv the number relating to a specific process
258
Assessing Production Cycles
259
Example of an Assessment Process
260
Cycles for manufacturing a gear shaft
261
Result of the assessment of the alternatives
263
A METHOD FOR PERSONNEL SELECTION IN CONCURRENT ENGINEERING USING FUZZY SETS J Stahl
265
Introduction
266
Integrated Personnel Planning in CE
267
Hierarchical Structure of KSAOS
268
Hierarchical Structure of KSAOS
269
Example for Membership Functions of Ordinal Criteria
271
Derivation of the Membership Functions for the Linguistic Description
272
Nominal Criteria
273
Metric Criteria
274
Conclusion
275
INDEX
277
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