JGM TDM
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- ありおき かつもと
- 5 years ago
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1 JGM TDM
2 TDM SBD MBR TDM
3 TDM
4 1.0 Introduction Answer TDM TDM
5 1.0 Introduction TDMAnswer Answer
6 1.0 Introduction TDMAnswer Answer P Pc P MR MR Twg 3.97e m m Td( Pexin, Texin, m&, Tc, tp, tc, tw, ) Td c Tdc Td Td Pexin Texin m& Tc Pexin Texin m& Tc Td Td tw tw
7 1.0 Introduction TDM TDM TDM TDM
8
9 TDM TDMTotal Design Management SBD MBR
10 SBD MBR CAE
11 TDM SBD MBR TDM
12 SBD GG MC y=ax+b
13 SBD X M E R C XME Y Y X[Y M1 ] X[Y M1 ]
14 SBD EXCEL
15 MBR P Pc P MR MR Twg 3.97e m m Td( Pexin, Texin, m&, Tc, tp, tc, tw, ) Td c Tdc Td Td Pexin Texin m& Tc Pexin Texin m& Tc Td Td tw tw
16 TDM
17 TDM
18 MBR SBD MBR SBD
19
20
21 GG MC
22 GG MC SBD MBR
23 Td tw tw Td tc tc Td tp tp Td Tc Tc Td m m Td Texin Texin Td Pexin Pexin Td tw tc tp m Tc Texin Pexin Td & & & ),,,,,,, ( c c m m Twg e Twg MR MR Pc Pc P * tan ) 2( L D pinjf pinjo MR Tc Tc MR pinjf pinjo MR MR
24 SBD MBR GG MC
25 GG MC SBD MBR
26 SBD MBR
27 SBD MBR SBD MBR
28 GG GG MC MC SBD MBR
29
30 SBD MBR
31 101/2 SBD MBR SBD MBR
32 102/2
33 MC GG GG MC GG MC TDM P/N S/N SN
34
35
36 3D FEM CFD 3D FEM CFD 3D FEM CFD TDM GG MC 3D FEM CFD 3D FEM CFD
37 QFD X E R C + CFD XE Y Y X[Y] X[Y] isight GA
38 TDM X TDM M E R C X M E R 1 XME Y XME Y Y Y SN S/N X[Y M1 ] X[Y M1 ] X, X SN
39 TDM X TDM M E R C X M E R 1 XME Y XME Y Y Y SN S/N X[Y M1 ]X[Y M1 ] X, X SN
40 TDM X TDM M E R C X M E R 1 XME Y XME Y Y Y SN S/N X[Y M1 ] X[Y M1 ] X, X SN
41 TDM X XME Y Y TDM M X[Y M1 ] E X[Y M1 ] R SBDMBR C SBDMBR X XME Y X, M 1 Y X S/N SN E R SN
42 SDB ITIT DSM SOM
43 QFDFMEAFTADSM D FORM CAE (1) SNAIC (2) RBFSVR LPQP SAGA SN SOM DFSS isight, ModelCenter
44 CFDFEM LL FORM CCD) TDM FMEA/FTA, GA AHP OR 2 S/N 22 QFD
45 TDM
46 TDM (2007)
47 TDM TDM (2007)
48
49
50 QFDTOPSIS
51 . TDM TDM QFD TRIZ TRIZ VE TOPSIS A HOPE Combined Array B
52 . QFD (1/6) (QFD) RFP (Request For Proposal) X-Prize - 100[km] - - (3G) [m] () -
53 . QFD (2/6) RFP / () (/) / (/) ()
54 . QFD (3/6) () AHP* 100km100km 2 3G 3G *AHP: Analytic Hierarchy Process ()
55 . QFD (4/6) () (/) (/) 100km100km 2 3G 3G 4 6 / 8 () / ()
56 . QFD (5/6) QFD ()
57 . QFD (6/6) QFD 100km 3G 6 QFD ()
58 1/3 () () ()
59 2/3 Morphological Matrix I (Morphological Matrix I) Morphological Matrix I?
60 3/3 Morphological Matrix II Morphological Matrix I Morphological Matrix II () No3 No3 ()
61 TOPSIS1/8 Pugh Evaluation Matrix (Decision Matrix) QFD Pugh Evaluation Matrix 100km 3G QFD QFD (+) (+) (-) (-) (s) (s) *TOPSIS: Technique for Order Preference by Similarity to Ideal Solution ()
62 TOPSIS2/8 (1/3) Pugh Evaluation Matrix (+) (+) 9 9 (-) (-) 5 5 (s) (s) 1 1 *TOPSIS: Technique for Order Preference by Similarity to Ideal Solution ()
63 TOPSIS3/8 (2/3)
64 TOPSIS4/8 (3/3) QFD QFD QFD
65 TOPSIS5/8 ideal negative
66 TOPSIS6/8 S S i i V V i ideal V ivnegative 2 2 NO,3 S i S i ideal negative Vi V ideal V nagative 2 V V S i ideal 2 V V S i negative i i
67 TOPSIS7/8 TOPSIS C i S * i S i S i Ci Ci worse Ci 0 S i negative S i ideal better Ci 1 *1(DATUM) No.2No.6No.8 BETTER ANSWER No.6 No.2 No.8
68 TOPSIS8/8 TOPSISDATUM TOPSIS QFD
69 :TOPSIS Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Pugh Matrix Concept Selection Best: Concept #2 Concept #3 Worst: Concept #1 +/- Ideal Solution QFD +/- TOPSIS Euclidean Differences + #1 #2 -
70 2003 TOPSIS
71 The MADM Techniques Type of Information from the Decision Maker No Information Salient Feature on Information Major Classes of Methods Dominance Maximin Maximax Standard Level Conjunctive Method Disjunctive Method Lexicographic Method Multiple Attribute Decision Making Information on Attribute Ordinal Cardinal Marginal Rate of Substitution Elimination by Aspect Permutation Method Linear Assignment Method Simple Additive Weighting Method (SAW) Hierarchical Additive Weighting Method ELECTRE TOPSIS Hierarchical Tradeoffs Information on Alternative Pairwise Preference Order of Pairwise Proximity LINMAP Interactive SAW Method MDS with Ideal Point
72
73 TDM QFD TRIZ TRIZ VE TOPSIS HOPE A B Combined Array
74 TDM FMEAFTA Combined Array
75 IHI TDM
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