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Design Complexity Evaluation Framework for Complex System Architecture : 복잡한 시스템 아키텍처의 설계 복잡도 평가 프레임워크

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dc.contributor.advisor서은석-
dc.contributor.author정성준-
dc.date.accessioned2018-05-29T03:41:05Z-
dc.date.available2018-05-29T03:41:05Z-
dc.date.issued2018-02-
dc.identifier.other000000151237-
dc.identifier.urihttps://hdl.handle.net/10371/141637-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 공학전문대학원 응용공학과, 2018. 2. 서은석.-
dc.description.abstractAs recent market and customers are demanding more functional requirements, safety, durability and connection with IT technology, modern engineered systems
are becoming more complex. The increased complexity leads to more development cost and effort to meet the target performance and schedule. Thus system architects
or engineers need to analyze the causes of systems complexity and determine how they can measure such complexity. This thesis focuses on a new complexity
quantification measure for system architecture in the context of product development. Through literature reviews, a new complexity quantification measure, which is easily applicable by allocating requirements to components, is proposed. This measure utilizes the domain mapping matrix (DMM) and matrix energy. Through a case study using a vehicle steering system and expert interview, the proposed measure is shown to have a good correlation with design effort.
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dc.description.tableofcontentsCHAPTER 1. INTRODUCTION 1
1.1 STUDY BACKGROUND 1
1.2. PURPOSE AND CONTRIBUTION OF RESEARCH 2
CHAPTER 2. LITERATURE REVIEW 3
2.1 SYSTEM ARCHITECTURE, DSM AND GRAPH ENERGY 3
2.1.1 System Architecture 3
2.1.2 Design Structure Matrix 4
2.1.3 Graph Energy 6
2.2 COMPLEXITY IN ENGINEERING DESIGN 8
2.2.1 Definition of Complexity 8
2.2.2 Why Complexity Matters in Engineering Design? 9
2.3 CONTRIBUTORS OF COMPLEXITY IN ENGINEERING DESIGN 10
2.3.1 Contributors Addressed in Complexity Taxonomy 12
2.3.2 Previous Complexity Metrics 14
2.4 ANALYSIS OF PREVIOUS METRICS AND RESEARCH GAP 19
CHAPTER 3. A NEW COMPLEXITY MEASURE FOR SYSTEM ARCHITECTURE 22
3.1 DERIVATION OF MATHEMATICAL FORMULA 25
3.2 INTER-MODULAR COMPLEXITY 31
CHAPTER 4. CASE STUDY 35
4.1 VEHICLE STEERING SYSTEM 35
4.2 EMPIRICAL VERIFICATION 37
4.3 EXPERT GROUP INTERVIEW AND CORRELATION ANALYSIS 41
4.4 SUMMARY OF THE CASE STUDY 43
CHAPTER 5. CONCLUSIONS AND FUTURE WORK 44
5.1 CONCLUSIONS 44
5.2 FUTURE WORK 45
BIBLIOGRAHPY 48
ABSTRACT IN KOREAN 51
APPENDIX A 52
REQUIRED PROPERTIES OF COMPLEXITY METRICS 52
APPENDIX B 54
DMMS AND COMPLEXITY CALCULATIONS FOR 10 SUBSYSTEMS. 54
1. Subsystem 1, I-Shaft 54
2. Subsystem 2 – UC1 55
3. Subsystem 3 – RDU1 56
4. Subsystem 4 – UC2 57
5. Subsystem 5 – RDU2 58
6. Subsystem 6 – RDU3 59
7. Subsystem 7 – RDU4 60
8. Subsystem 8 – UC3 61
9. Subsystem 9 – UC4 62
10. Subsystem 10 – UC5 63
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dc.formatapplication/pdf-
dc.format.extent1572738 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectComplexity-
dc.subjectSystem architecture-
dc.subjectDomain mapping matrix (DMM)-
dc.subjectMatrix energy-
dc.subject.ddc620.004-
dc.titleDesign Complexity Evaluation Framework for Complex System Architecture-
dc.title.alternative복잡한 시스템 아키텍처의 설계 복잡도 평가 프레임워크-
dc.typeThesis-
dc.contributor.AlternativeAuthorJung Sung Joon-
dc.description.degreeMaster-
dc.contributor.affiliation공학전문대학원 응용공학과-
dc.date.awarded2018-02-
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