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E-raamat: Modular System Design and Evaluation

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  • Sari: Decision Engineering
  • Ilmumisaeg: 06-Sep-2014
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319098760
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Modular System Design and EvaluationSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Decision Engineering
  • Ilmumisaeg: 06-Sep-2014
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319098760
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This book examines seven key combinatorial engineering frameworks (composite schemes consisting of algorithms and/or interactive procedures) for hierarchical modular (composite) systems. These frameworks are based on combinatorial optimization problems (e.g., knapsack problem, multiple choice problem, assignment problem, morphological clique problem), with the author’s version of morphological design approach – Hierarchical Morphological Multicritieria Design (HMMD) – providing a conceptual lens with which to elucidate the examples discussed. This approach is based on ordinal estimates of design alternatives for systems parts/components, however, the book also puts forward an original version of HMMD that is based on new interval multiset estimates for the design alternatives with special attention paid to the aggregation of modular solutions (system versions). The second part of ‘Modular System Design and Evaluation’ provides ten information technology case studies that enriches understanding of the design of system design, detection of system bottlenecks and system improvement, amongst others. The book is intended for researchers and scientists, students, and practitioners in many domains of information technology and engineering. The book is also designed to be used as a text for courses in system design, systems engineering and life cycle engineering at the level of undergraduate level, graduate/PhD levels, and for continuing education. The material and methods contained in this book were used over four years in Moscow Institute of Physics and Technology (State University) in the author’s faculty course “System Design”.
1 Modular Systems, Combinatorial Engineering Frameworks
1(10)
1.1 Preliminaries
1(3)
1.2 Basic Types of Hierarchies
4(3)
1.3 Combinatorial Engineering Frameworks
7(2)
1.4 Summary
9(2)
2 Methods of Morphological Design (Synthesis)
11(26)
2.1 Introduction
11(3)
2.2 Morphological Design Approaches
14(7)
2.2.1 Morphological Analysis
14(1)
2.2.2 Method of Closeness to Ideal Point
15(1)
2.2.3 Pareto-Based Morphological Approach
16(1)
2.2.4 Linear Programming
16(1)
2.2.5 Multiple Choice Problem
17(1)
2.2.6 Assignment/Allocation Problems
18(1)
2.2.7 Hierarchical Morphological Multicriteria Design (HMMD)
19(2)
2.3 Design Examples for GSM Network
21(13)
2.3.1 Initial Example
22(1)
2.3.2 Morphological Analysis
23(2)
2.3.3 Method of Closeness to Ideal Point
25(3)
2.3.4 Pareto-Based Morphological Analysis
28(1)
2.3.5 Multiple Choice Problem
29(1)
2.3.6 Hierarchical Morphological Design
30(2)
2.3.7 Comparison of Methods and Discussion
32(2)
2.4 Towards Other Approaches
34(2)
2.5 Summary
36(1)
3 Multiset Estimates and Combinatorial Synthesis
37(30)
3.1 Introduction
37(2)
3.2 Basic Assessment Problems
39(1)
3.3 Operations Over Multiset Estimates
40(8)
3.3.1 Integrated Estimates
41(2)
3.3.2 Vector-Like Proximity
43(2)
3.3.3 Comparison of Estimates
45(1)
3.3.4 Aggregation of Estimates
46(1)
3.3.5 Alignment of Estimates
47(1)
3.4 Combinatorial Synthesis (Morphological Approach)
48(12)
3.4.1 Example: Basic HMMD, Three-Component System
49(1)
3.4.2 Example: Basic HMMD, Four-Component System
49(1)
3.4.3 Modified Version of HMMD Method
50(3)
3.4.4 Example: Three-Component System, Three-Element Assessment
53(1)
3.4.5 Example: Four-Component System, Four Elements Assessment
54(3)
3.4.6 Example: Three-Layer Hierarchical System
57(3)
3.5 Multiset Estimates in Knapsack-Like Problems
60(4)
3.6 Multiset Estimates and Multi-attribute Alternatives
64(2)
3.7 Summary
66(1)
4 Design of Hierarchical Structure
67(22)
4.1 Introduction
67(1)
4.2 Expert Based `Top-Down' Procedure
68(1)
4.3 Hierarchical Clustering
69(2)
4.4 Towards Ontology
71(1)
4.5 Spanning Trees
72(4)
4.6 Towards Optimal Organizational Hierarchies
76(1)
4.7 Multi-layer Structures
77(8)
4.7.1 Multi-layer Approach
77(1)
4.7.2 Typical Hierarchical Layers in Communication Network
78(1)
4.7.3 Layered K-Connected Network
79(3)
4.7.4 Towards Hierarchical Network Design Problems
82(1)
4.7.5 Connection in Two-Layer Network (Access Points---Users)
83(2)
4.8 Morphological Hierarchy
85(1)
4.9 General Design Framework for Multi-layer Structure
86(1)
4.10 Summary
87(2)
5 System Configuration and Combinatorial Optimization
89(22)
5.1 Introduction
89(3)
5.2 Underlaying Combinatorial Problems and Schemes
92(13)
5.2.1 Problem of Representatives
92(1)
5.2.2 Shortest Path Problem
93(1)
5.2.3 Multipartite Graph Clustering and Weighted Clique in Multipartite Graph
94(1)
5.2.4 Extended Assignment/Allocation Problem
95(5)
5.2.5 Graph Coloring Problems
100(3)
5.2.6 Some Related Problems
103(2)
5.3 Applied Versions of System Configuration Problem
105(3)
5.4 Towards Dynamic System Reconfiguration
108(1)
5.5 Summary
108(3)
6 System Evaluation
111(20)
6.1 Introduction
111(3)
6.2 Considered Types of Assessment Scales
114(5)
6.3 Transformation of Scales
119(3)
6.4 Integration of Scales and System Quality
122(4)
6.5 Numerical Examples
126(3)
6.6 Summary
129(2)
7 Detection of System Bottlenecks
131(24)
7.1 Introduction
131(1)
7.2 Traditional Quality Management Methods
132(5)
7.3 Detection of Bottlenecks in Morphological Design
137(3)
7.4 Critical Elements in Multi-layer Structures/Networks
140(2)
7.5 Predictive Detection of System Bottlenecks
142(3)
7.5.1 Predictive Detection of System Components
143(1)
7.5.2 Predictive Detection of Interconnected System Components
143(2)
7.6 Clique-Based Fusion on Graph Streams
145(9)
7.6.1 Preliminaries
145(2)
7.6.2 Notations
147(1)
7.6.3 Basic Problem
148(2)
7.6.4 Problems over Graph Streams
150(1)
7.6.5 Example
151(2)
7.6.6 Discussion
153(1)
7.7 Summary
154(1)
8 System Improvement/Extension
155(36)
8.1 Introduction
155(2)
8.2 Four System Improvement Situations
157(3)
8.2.1 Basic System Improvement Situation
157(2)
8.2.2 Basic Improvement Situation, Combinatorial Problems
159(1)
8.2.3 Additional System Improvement Situations
159(1)
8.3 Approaches to System Evaluation and Improvement
160(6)
8.3.1 System Quality and Improvement
160(4)
8.3.2 Towards Reoptimization
164(2)
8.4 Improvement by System Components
166(4)
8.4.1 Basic Framework
166(2)
8.4.2 Graph Vertex Recoloring Problem
168(2)
8.5 Modification of System Structure
170(12)
8.5.1 Modification of Tree via Condensing of Weighted Edges
170(6)
8.5.2 Hotlink Assignment Problems
176(2)
8.5.3 Transformation of Tree into Steiner Tree
178(3)
8.5.4 Augmentation Problem
181(1)
8.5.5 Transformation of Morphological Structure
181(1)
8.5.6 Transformation of Layered Structure
182(1)
8.6 Examples for Network Improvement/Extension
182(8)
8.6.1 Network Hierarchy
182(1)
8.6.2 Requirements/Criteria
183(1)
8.6.3 Network Design/Development: Basic Problems
183(1)
8.6.4 Network Improvement
184(2)
8.6.5 Network Extension
186(4)
8.7 Summary
190(1)
9 Aggregation of Structured Solutions
191(56)
9.1 Introduction
191(3)
9.2 Auxiliary Problems and Aggregation Strategies
194(5)
9.2.1 Basic Auxiliary Problems
194(2)
9.2.2 Building of "System Kernel"
196(1)
9.2.3 Aggregation Strategies
196(3)
9.3 Examined Structures, Substructure, Superstructure
199(4)
9.3.1 Sets
199(1)
9.3.2 Rankings (Layered Sets)
199(1)
9.3.3 Morphological Sets
200(1)
9.3.4 Trees and Morphological Structures
201(2)
9.4 Preliminary Illustrative Example for Notebook
203(4)
9.5 Metrics and Proximities
207(10)
9.5.1 Metric/Proximity for Sets
207(1)
9.5.2 Proximity for Strings/Sequences
208(1)
9.5.3 Proximity for Rankings
209(3)
9.5.4 Proximity for Trees
212(3)
9.5.5 Proximity for Morphological Structures
215(2)
9.6 Median/Consensus Problems, Aggregation Problems
217(5)
9.6.1 Sets
217(1)
9.6.2 Rankings
218(3)
9.6.3 Trees
221(1)
9.6.4 Morphological Structures
221(1)
9.7 Illustrative Applied Numerical Examples
222(23)
9.7.1 Continuation of Example for Notebook
222(3)
9.7.2 Common Educational Course
225(4)
9.7.3 Plan of Students Art Activity
229(1)
9.7.4 Combinatorial Investment
230(1)
9.7.5 Modular Educational Course on Design
231(14)
9.8 Summary
245(2)
10 Multistage Design
247(18)
10.1 Introduction
247(2)
10.2 General Schemes
249(3)
10.3 Applied Illustrative Examples
252(11)
10.3.1 Four-Stage Trajectory for Start-Up Team
252(4)
10.3.2 Tree-Like Trajectory for Medical Treatment
256(4)
10.3.3 Simplified Example Over Directed Graph
260(2)
10.3.4 On Multiple Domain Problems
262(1)
10.4 Summary
263(2)
11 Combinatorial Evolution and Forecasting
265(14)
11.1 Introduction
265(2)
11.2 General Scheme
267(2)
11.3 Typical Change Items
269(1)
11.4 Example for Modular Educational Course
269(7)
11.4.1 Hierarchical Morphological Model
269(2)
11.4.2 Problem Formulation, Design
271(4)
11.4.3 Aggregation of Solutions
275(1)
11.5 Summary
276(3)
12 Composite Strategy for Multicriteria Ranking
279(20)
12.1 Introduction
279(2)
12.2 Methodological Issues
281(9)
12.2.1 Decision Making Framework, Solving Scheme, Problems
281(1)
12.2.2 Multicriteria Ranking (Sorting)
281(5)
12.2.3 Towards Reconfigurable Problem Solving Framework
286(4)
12.3 DSS COMBI for Multicriteria Ranking
290(8)
12.3.1 History of DSS COMBI
290(2)
12.3.2 Main Components of DSS
292(4)
12.3.3 Example of Composite Strategy
296(2)
12.4 Summary
298(1)
13 Electronic Shopping of Composite Product
299(16)
13.1 Introduction
299(2)
13.2 Structured Model of Product
301(2)
13.3 Basic Frameworks
303(1)
13.4 Examples
304(10)
13.4.1 Multicriteria Ranking/Selection
304(1)
13.4.2 Synthesis of Composite Product
305(1)
13.4.3 Synthesis of Extended Composite Product
305(1)
13.4.4 Synthesis of Product Repair Plan
306(3)
13.4.5 Synthesis of Product Trajectory
309(2)
13.4.6 Aggregation of Modular Products
311(3)
13.5 Summary
314(1)
14 Web-based Applied System
315(16)
14.1 Introduction
315(2)
14.2 General Hierarchical Model and Components
317(2)
14.3 Communication Service Provider
319(2)
14.4 Corporate Application
321(1)
14.5 Academic Application
322(1)
14.6 Towards Analysis of Solutions
323(1)
14.7 Usage of Multiple Choice Problem
323(1)
14.8 Design of System Trajectory
324(2)
14.9 Aggregation of Configurations
326(3)
14.10 Summary
329(2)
15 Integrated Security System
331(8)
15.1 Introduction
331(1)
15.2 Example
332(5)
15.2.1 System Hierarchical Model and Components
332(2)
15.2.2 Composite Decisions
334(2)
15.2.3 Improvement of Solutions
336(1)
15.2.4 Illustration of Multistage Design
336(1)
15.3 Aggregation of Solutions
337(1)
15.4 Summary
338(1)
16 Connection of Users and Access Points
339(12)
16.1 Introduction
339(1)
16.2 Problem Statement
340(3)
16.3 Solving Scheme
343(1)
16.4 Numerical Example
344(5)
16.5 Summary
349(2)
17 Telemetry System
351(10)
17.1 Introduction
351(1)
17.2 Example for On-Board Telemetry Subsystem
352(7)
17.2.1 Composite Solutions
355(1)
17.2.2 Analysis and Improvement of Solutions
356(1)
17.2.3 Aggregation of Solutions
357(2)
17.3 Summary
359(2)
18 Standard for Multimedia Information Processing
361(20)
18.1 Introduction
361(3)
18.2 Changes in Standard
364(8)
18.3 Illustrative Numerical Examples
372(5)
18.4 Generalized Example of Combinatorial Synthesis
377(2)
18.5 Summary
379(2)
19 Wireless Sensor
381(8)
19.1 Introduction
381(1)
19.2 Structure of Sensor and Estimates
381(3)
19.3 Combinatorial Synthesis
384(1)
19.4 Aggregation of Solutions
385(2)
19.5 Summary
387(2)
20 Management System for Smart Home
389(12)
20.1 Introduction
389(2)
20.2 Management System for Smart Home
391(5)
20.2.1 Hierarchical Model and Components
391(3)
20.2.2 Composite Decisions
394(1)
20.2.3 Improvement of Solutions
395(1)
20.3 Building Automation System
396(3)
20.3.1 System Morphology and Design
396(1)
20.3.2 System Extension by Additional Part
396(2)
20.3.3 System Improvement by Systems Parts
398(1)
20.4 Summary
399(2)
21 ZigBee Communication Protocol
401(14)
21.1 Introduction
401(1)
21.2 Description of Protocol Generations
402(4)
21.3 Change Operations
406(2)
21.4 Computation of Preliminary Forecasts
408(3)
21.5 Aggregation of Preliminary Forecasts
411(2)
21.6 Summary
413(2)
Conclusion 415(2)
References 417(44)
Index 461
Mark Sh. Levin earned a MS degree in Radio Engineering from Moscow Technical University of Communications and Informatics (1970), a MS degree in Mathematics from Lomonosov Moscow State University (1975), a PhD degree in system analysis from Inst. for System Analysis of Russian Academy of Sciences (1982). Prof. David B. Yudin (optimization and applications, 1982 Fulkerson Prize) was his PhD advisor in Moscow State University (PhD program in mathematics and computers in management, 1977-1981, Faculty of Economics). In 1970-1973 Levin also studied Philosophy.

Since 1970 he was as an engineer/senior engineer/head of laboratory with several design organizations (e.g., control unit for a special multidisciplinary real-time distributed applied system, DBMSs, CAM, management systems and optimization in geology, management systems in civil engineering and architecture).

Since 1983 he occupied research positions as a senior/leading research scientist (quality management in machine- building, combinatorial optimization and decision making in CAD, system testing, data processing in physical experiments, communication systems, information systems).

Since 1975 he conducted his research projects in combinatorial optimization (algorithms, models, applications, problem frameworks) and in 1982 he began to study multicriteria decision making, DSS-engineering and their applications in various domains.

Levins teaching activities (mainly in Russia) involved (since 1974) programming, mathematics, information systems engineering, decision making, and systems engineering. His more recent course is: System Design in Moscow Institute of Physics and Technology (State University). He conducted his research projects in Russia, Israel, Japan, and Canada.

Now Dr. Levin conducts his research projects in information technology, systems engineering, system de- sign, combinatorial optimization, decision making, education. He authored three books(including more re- cent: Composite Systems Decisions, Springer, 2006; Combinatorial Engineering of Decomposable Systems, Springer, 1998) and many research articles in academic journals (e.g. Applied Intelligence, Information Fusion, Expert Systems with Applications, Informatica, IEEE Transactions on SMC-Part A, IEEE Transactions on SMC-Part C, Concurrent Engineering: Research and Applications, Advances in Engineering Software, Journal of Integrated Design and Process Science, Intelligent Manufacturing, Automation and Remote Control, Cybernetics and Systems Analysis, Engineering Cybernetics, Journal of Communications Technology and Electronics, Foundations of Computing and Decision Sciences, Computers in Biology and Medicine, Computer Methods and Programs in Biomedicine, and Journal of Technology, Policy and Management).
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