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① Feasibility Study
② Concept Design
③ Preliminary Design
④ Contract Design
⑤ Detail Design
• Impossible of creative designs in the early-stage naval ship design due to the constraint of flexibility
and affordability occurred by specified requirements
• More possibility of requirement chances by the need of rapidly evolved technologies and complexities
• Need quicker and more statistical data at the early stage of naval ship design
Design Space
“Negative Space” is what we call the space surrounding the figure. By placing areas of
negative spaces as accurately as you can in relationship to the whole, your drawing of the
figure will come easier.
http://lifedrawingposes.com/life-drawing-figure-drawing-tips/life-drawing-techniques-negative-space/
Positive Space Negative Space
Positive Space
Negative Space
104 pixels 1,664 pixels
416 pixels
106,496 pixels 26,624 pixels
* With permission of the use of figures from Professor McKesson at U.N.O
6,656 pixels
106,496 pixels 104 pixels
• Quicker early stage design space exploration compared to positive design
• Remove the possibility of over/under-optimization at the early stage design
• Identify uncertainties thus removing technical risks earlier
• Define feasible design range quicker and support decision making with information
* With permission of the use of figures from Professor McKesson at U.N.O
Information
Visualization
Dynamic
Interaction
Visual
Analytics
Point Design Approach : conventional Family of Design Approach : New
Few design alternatives
manually generated
More design alternatives
Time-consuming nature Time-saving nature
A small amount of information Maximum amount of information
Local Optimization Global Optimization
C.I L(m) B(m) T(m)
Full disp.
(MTon)
Max
speed
(kts)
Power
(hp)
TF Fn_vol
Hull
form
Propulsor
Lower
25% 26.1 5.8 1.3 78.8 38.5 5,267 5.9 5.0
Semi-
planning
: 63%
Planning
: 37%
W/J :
50%
FPP : 50%
Median 31.7 6.7 1.5 109.0 40.5 7,396 6.9 5.8
Upper
75% 44.3 7.2 2.4 236.3 45.0 12,000 7.7 6.7
L ∼ f(T, Full Disp., Power)
B ∼ f(Full Disp.)
T ∼ f(L, Full Disp., Power)
Full Disp. ∼ f(B, T, Power)
Max Speed ∼ weak f(B, Full Disp.)
Power ∼ f(L, T, Full Disp.)
• Obtain insightful information for Sensitivity Analysis
alternative 1 alternative 2 alternative 3
Outer profile
Hull-form planning semi-planning semi-planning
Propulsor WaterJet WaterJet FPP
max speed. 40 ~ 55 kts 30 ~ 45 kts
Length overall 26.1~44.3m
Breadth max. 5.8 ~ 7.2m
T 1.3 ~ 2.4m
full load 78.8~236.3tom
Factor Design Response
L 36.99m Max Speed 40kts
B 5.95m Full Disp. 200ton
T 1.66m
Power 10,810hp
Hull Form Planing
Propulsor WaterJet
• Find design patterns by distributions and correlations, and predict
the performance by the regression analysis
• Establish deterministic models at the early-stage design
• Based on the identifying of infeasible design spaces, more
design information can be obtained.
• Provide dynamic information visualization for requirement
confirmation and refinement
• Provide simple way to conduct sensitivity analysis of factors
and responses in a simple manner

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Agenda (한글)
 
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기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Aurora Tiffany-Davis)기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Aurora Tiffany-Davis)
기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Aurora Tiffany-Davis)
 
기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Dan Valente)
기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Dan Valente)기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Dan Valente)
기조강연2: 조직의 업무를 보다 스마트하게 만들기 위한 엔지니어링 효율성 개선 (JMP Dan Valente)
 
기조강연3: 실험설계의 강화 - 단순함에서 정교함으로 (JMP Ryan Lekivetz & Elizabeth Claassen)
기조강연3: 실험설계의 강화 - 단순함에서 정교함으로 (JMP Ryan Lekivetz & Elizabeth Claassen)기조강연3: 실험설계의 강화 - 단순함에서 정교함으로 (JMP Ryan Lekivetz & Elizabeth Claassen)
기조강연3: 실험설계의 강화 - 단순함에서 정교함으로 (JMP Ryan Lekivetz & Elizabeth Claassen)
 
1-1: 바이오 의약품 공정개발 및 특성분석을 위한 DOE 연구사례 (종근당 권상오 수석)
1-1: 바이오 의약품 공정개발 및 특성분석을 위한 DOE 연구사례 (종근당 권상오 수석)1-1: 바이오 의약품 공정개발 및 특성분석을 위한 DOE 연구사례 (종근당 권상오 수석)
1-1: 바이오 의약품 공정개발 및 특성분석을 위한 DOE 연구사례 (종근당 권상오 수석)
 
1-2: QbD 기반 의약품 개발의 통계분석 및 JMP 활용사례 (한가람 김종민 대표)
1-2: QbD 기반 의약품 개발의 통계분석 및 JMP 활용사례 (한가람 김종민 대표)1-2: QbD 기반 의약품 개발의 통계분석 및 JMP 활용사례 (한가람 김종민 대표)
1-2: QbD 기반 의약품 개발의 통계분석 및 JMP 활용사례 (한가람 김종민 대표)
 
2-2: 다양한 무고장 조건에서 필드차량 클레임 분석 자동화 (현대차 이동복 책임)
2-2: 다양한 무고장 조건에서 필드차량 클레임 분석 자동화 (현대차 이동복 책임)2-2: 다양한 무고장 조건에서 필드차량 클레임 분석 자동화 (현대차 이동복 책임)
2-2: 다양한 무고장 조건에서 필드차량 클레임 분석 자동화 (현대차 이동복 책임)
 
2-3: 데이터분석 기반의 B2B 영업 (이노밸류 배용섭 대표)
2-3: 데이터분석 기반의 B2B 영업 (이노밸류 배용섭 대표)2-3: 데이터분석 기반의 B2B 영업 (이노밸류 배용섭 대표)
2-3: 데이터분석 기반의 B2B 영업 (이노밸류 배용섭 대표)
 
3-1: Semiconductor Wafer Test Fail Map Clustering and Data Mining Using JMP A...
3-1: Semiconductor Wafer Test Fail Map Clustering and Data Mining Using JMP A...3-1: Semiconductor Wafer Test Fail Map Clustering and Data Mining Using JMP A...
3-1: Semiconductor Wafer Test Fail Map Clustering and Data Mining Using JMP A...
 
3-2: Smart Proactive Analysis Material (SK Hynix 정예린TL)
3-2: Smart Proactive Analysis Material (SK Hynix 정예린TL)3-2: Smart Proactive Analysis Material (SK Hynix 정예린TL)
3-2: Smart Proactive Analysis Material (SK Hynix 정예린TL)
 
3-3: Hi-JMP 분석 콘텐츠 재사용성 향상을 위한 AppStore 생태계 구축 (SK Hynix 류태준TL)
3-3: Hi-JMP 분석 콘텐츠 재사용성 향상을 위한 AppStore 생태계 구축 (SK Hynix 류태준TL)3-3: Hi-JMP 분석 콘텐츠 재사용성 향상을 위한 AppStore 생태계 구축 (SK Hynix 류태준TL)
3-3: Hi-JMP 분석 콘텐츠 재사용성 향상을 위한 AppStore 생태계 구축 (SK Hynix 류태준TL)
 
4-1: JMP/Python 에코시스템 성공 사례 (한얼솔루션 이광기 상무)
4-1: JMP/Python 에코시스템 성공 사례 (한얼솔루션 이광기 상무)4-1: JMP/Python 에코시스템 성공 사례 (한얼솔루션 이광기 상무)
4-1: JMP/Python 에코시스템 성공 사례 (한얼솔루션 이광기 상무)
 
4-2: 제조 계측장비 비정형 데이터파일 기반으로 데이터변환 및 관리도분석 서비스 (한화오션 박진원 박사)
4-2: 제조 계측장비 비정형 데이터파일 기반으로 데이터변환 및 관리도분석 서비스 (한화오션 박진원 박사)4-2: 제조 계측장비 비정형 데이터파일 기반으로 데이터변환 및 관리도분석 서비스 (한화오션 박진원 박사)
4-2: 제조 계측장비 비정형 데이터파일 기반으로 데이터변환 및 관리도분석 서비스 (한화오션 박진원 박사)
 

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4-3: 네거티브 디자인 개념을 활용한 군함 초기설계에 적용되는 디자인영역 탐색 (Team AP 김재준 책임)

  • 1.
  • 2. ① Feasibility Study ② Concept Design ③ Preliminary Design ④ Contract Design ⑤ Detail Design
  • 3. • Impossible of creative designs in the early-stage naval ship design due to the constraint of flexibility and affordability occurred by specified requirements • More possibility of requirement chances by the need of rapidly evolved technologies and complexities • Need quicker and more statistical data at the early stage of naval ship design Design Space
  • 4. “Negative Space” is what we call the space surrounding the figure. By placing areas of negative spaces as accurately as you can in relationship to the whole, your drawing of the figure will come easier. http://lifedrawingposes.com/life-drawing-figure-drawing-tips/life-drawing-techniques-negative-space/ Positive Space Negative Space Positive Space Negative Space
  • 5. 104 pixels 1,664 pixels 416 pixels 106,496 pixels 26,624 pixels * With permission of the use of figures from Professor McKesson at U.N.O 6,656 pixels
  • 6. 106,496 pixels 104 pixels • Quicker early stage design space exploration compared to positive design • Remove the possibility of over/under-optimization at the early stage design • Identify uncertainties thus removing technical risks earlier • Define feasible design range quicker and support decision making with information * With permission of the use of figures from Professor McKesson at U.N.O
  • 8. Point Design Approach : conventional Family of Design Approach : New Few design alternatives manually generated More design alternatives Time-consuming nature Time-saving nature A small amount of information Maximum amount of information Local Optimization Global Optimization
  • 9.
  • 10.
  • 11. C.I L(m) B(m) T(m) Full disp. (MTon) Max speed (kts) Power (hp) TF Fn_vol Hull form Propulsor Lower 25% 26.1 5.8 1.3 78.8 38.5 5,267 5.9 5.0 Semi- planning : 63% Planning : 37% W/J : 50% FPP : 50% Median 31.7 6.7 1.5 109.0 40.5 7,396 6.9 5.8 Upper 75% 44.3 7.2 2.4 236.3 45.0 12,000 7.7 6.7
  • 12.
  • 13. L ∼ f(T, Full Disp., Power) B ∼ f(Full Disp.) T ∼ f(L, Full Disp., Power) Full Disp. ∼ f(B, T, Power) Max Speed ∼ weak f(B, Full Disp.) Power ∼ f(L, T, Full Disp.) • Obtain insightful information for Sensitivity Analysis
  • 14. alternative 1 alternative 2 alternative 3 Outer profile Hull-form planning semi-planning semi-planning Propulsor WaterJet WaterJet FPP max speed. 40 ~ 55 kts 30 ~ 45 kts Length overall 26.1~44.3m Breadth max. 5.8 ~ 7.2m T 1.3 ~ 2.4m full load 78.8~236.3tom
  • 15.
  • 16.
  • 17. Factor Design Response L 36.99m Max Speed 40kts B 5.95m Full Disp. 200ton T 1.66m Power 10,810hp Hull Form Planing Propulsor WaterJet
  • 18.
  • 19.
  • 20. • Find design patterns by distributions and correlations, and predict the performance by the regression analysis • Establish deterministic models at the early-stage design • Based on the identifying of infeasible design spaces, more design information can be obtained. • Provide dynamic information visualization for requirement confirmation and refinement • Provide simple way to conduct sensitivity analysis of factors and responses in a simple manner