µ¦¡ µ ´¸ ªµ¤µ¤µ¦ Ä µ¦Â n ´oª¥Á · à n°» µ ¦ ¸«¹ ¬µ ... · 2015. 8....
Transcript of µ¦¡ µ ´¸ ªµ¤µ¤µ¦ Ä µ¦Â n ´oª¥Á · à n°» µ ¦ ¸«¹ ¬µ ... · 2015. 8....
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A CAPABILITY DEVELOPMENT IN COMPETTIVE WITH SUPPLY CHAIN
TECHNIQUES. CASE STUDY DONWAI FLOTING MARKET
By
Mr. Woradech Jatanasane
A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree
Master of Engineering Program in Engineering Management
Department of Industrial Engineering and Management
Graduate School, Silpakorn University
Academic Year 2013
Copyright of Graduate School, Silpakorn University
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54405311:
Five forces model
(Internal Factors AnalysisSummary : IFAS , External
Factors Analysis Summary : EFAS)
- Internal-External :
IE-matrix)
(Growth and build) (TOWS Matrix)
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54405311: MAJOR: ENGINEERING MANAGEMENT
WORADECH JATANASANE: A DEVELOPMENT IN COMPETITIVE
WITH SUPPLY CHAIN TECHNIQUES.CASE STUDY DONWAI FLOATING MARKET.
THESIS ADVISOR: SITTICHAI SAELEM, Ph.D.
This research of Capability Development in Competitive with supply chain
techniques. Case study DONWAI Floating Market . Starting collection data include of Merchants
,Tourist ,Operators and Tourist attractions nearby. Using the interviews and questionnaires travel
behavior. To build the supply chain and supply chain operations reference model of the market
and Analysis of the competitive situation in the market with Five forces model. Analysis of
internal and external factors (Internal Factors AnalysisSummary: IFAS, External Factors Analysis
Summary: EFAS) To recognize the importance of market barriers on SWOT analysis matrix ,
then matrix evaluation factors - external (Internal-External: IE-matrix) To create an alternative
strategy, which found that Don Wai Floating Market is in the position to grow and create (Growth
and build). And analysis of the relationship matrix (TOWS Matrix) to prepare an alternative
strategy. The strategy is market penetration strategy ,Market development strategy ,Strategic
product development And strategic joint ventures.
Department of Industrial Engineering and Management Graduate School, Silpakorn University
Student's signature.................................................. Academic Year 2013
Thesis Advisor's signature........................................................
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1 …………………………………………………………………………… 1
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2 ………………………………………………….. 7
Supply Chain) …………………………………………… 7
)…………... 8
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)…………………………….....
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SWOT ……………………………………………………….
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3 …………………………………………………………..………...
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8
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1 ................................................................................. 4
4
2 ………………….....……………...... 5
3 ………………………………................. 6
4 ......... 7
4.5 4
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4.6 S ) ……………………………...... 80
4.7 ) ……………………………...... 1
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9 ...... 5
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1.1
2545-2553………………………………………… 2
2 2551-2552 ………………… 2
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TOWS ……………………………………………
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4.2
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4.3 …….. 58
4 …………………………….
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6 6
7 ……………………………. 2
8 …………………………….......
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10 )...............………………………….......
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4.30 – …………………………………….. 83
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1
1-3 10
323.5
2545 547.8 592.8 2550 2553
10 2545–2554)
10.8 2545 14.6
2551 14.1 2552
-
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2551-2552
1.1 2545-2553
2553 16,000
“ World’s Best City ”
Travel & Leisure
2553 592,794.09
5.9
Based Tourism)
1.2 2551-2552
: , 2551-2552
www.thai.tourismthailand.org
24%
41%
35%
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1.2 35%
Community Tourism)
30
300
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1.1
1)
1
2)
3)
4)
1)
2)
2)
2)
2.2.1
2.2.2
2.2.3
1)
2)
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1.1
2.2.4
3)
3)
3 )
1 )
1)
1.3.1
1.3.2
1.3.3
4
1.4.1
1.4.2
1.5.1
1.5.2
1.5.3
1.6.1
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1.6.2 Value Chain)
1.6.3
End Customer)
1.6.4
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2
1. (Supply Chain)
2. (Supply Chain Management: SCM)
3. (Supply Chain Operations
Reference Model: SCOR Model)
4.
5. (Value Stream Mapping: VSM)
6. Diamond Model
7. SWOT
8. TOWS Matrix
9.
10.
11.
12.
1
Supply Chain)
(Marketing Mixed)
(Supply Chain (Product Concept
(Product Design) (Raw Material Supply
(Production Process (Transport) (Warehouse)
(Distributor)
End Consumers)
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s
,
,
,
, Just in Time
, ,
, , Dynamic programming,
,
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. .1990
(Supply Chain)
(Decision Making)
(Supply Chain Management: SCM)
Cox III, Blackstone, 1998
Martin Christopher, 2005
Stadler and Kilger, 2000
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: , 2553. “
2 “ ” (Cost)
“ ” (Price)
(Economy of Scale) . . 1980-1999
(Quality)
Kaizen, Total Quality Management
5
4
3
2
1
: :
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(TQM), Just in Time (JIT) Kanban, Lean Manufacturing
(Customer Satisfaction)
“ ” (Time) (Meet Customer
Requirement) “ ” “ ”
(Economy of
Speed) (Economy of Speed)
(Coordination)
(Communication)
(Traditional Management)
,
(Holding Cost)
(Total Supply Chain Management Cost)
(Complex Network) (David, 2000)
(Holistic View)
(Win-Win)
(Strategic
Partnerships) (Strategic Alliances)
“ ”
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1
2
3
4
: , 2553. “
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: , 2538. “ ”
“ ”
Work in process)
(Inventory Level)
(Planning) Supplier) Production) Delivery)
Customer)
Pittiglio Rabin Todd
& McGrath AMR
Retailers or customers Distribution centers Manufacturers
Suppliers
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SCOR Model (Supply Chain Operating Reference Model)
Supply Chain Council (SCC)
SCC
Husby,
: PETER BOLSTORFF. 2555.
, 2007 SCOR Model
5 Plan) Source)
(Make) Delivery) Return)
SCOR Model
P Plan, S Source, M Make, D Delivery, R
Return E Enable
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2.3.1 Plan) -
2.3.1.1
2.3.1.2
2.3.1.3
2.3.2 Source)
Make to Stock) Make to Order)
Engineer to Order)
2.3.2
2.3.2
2.3.2
2.3.2
-
2.3. Make) Make to Stock)
Make to Order) Engineer to Order)
2.3.
2.3.
4 Delivery)
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5 Return)
5
5
, “ -
- ”
Planning)
Execution)
Transportation)
Infrastructure)
Husby, 2007 SCOR Model
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3 Process Type) Process Category)
Process Element)
1
2
SCOR Model
3
Input) Output)
Performance Metric)
(Best Practice)
4
SCOR Model
SCOR Model Supply
Chain Council (SCC) 1996 SCOR Model
5
(Planning) Source) Make) Delivery)
(Return)
SCOR Model
SCOR Model
Law of Demand) Law of Supply)
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Quantity Demanded)
(Quantity Supplied)
(Equilibrium)
: , 2542. :
P* Q*
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VSM)
Lean Manufacturing Strategy)
Value Stream Thinking)
Overall Process)
VSM
(Current State) Future
State)
(Process Mapping)
Broad View)
Macro Level)
(From Supplier to Customer)
Icon) Visualize Processes)
Diamond Model
4
2
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4
Diamond Model
Michael E. Porter, . New York : Free Press
Diamond Model
1. Factor Conditions)
2. Demand Conditions)
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3 Segment or Composition of
Market)
3. Related and supporting industries)
4. - Firm Strategy, Structure and Rivalry)
-
5. Chance)
4
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4
6. Government)
4
4
4 2
2
Strengths
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Weaknesses
Opportunities
Threats
2
SWOT Area)
key area)
SWOT
SWOT
MacMillan
SWOT , ,
,
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SWOT
Armstrong. M, . London
SWOT Bosemanetal.,
.
.
. key success factors)
.
Goodstein et al.,
.
.
.
.
.
.
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TOWS Matrix
4
TOWS Matrix 9 4
4 1
4 SO, WO, ST WT
4
TOWS
, 2553. . . :
.
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26
(SO Strategy)
ST Strategy)
WO Strategy)
WT Strategy)
2
Descriptive Statistics)
2.9.1
Deductive
Population Samples)
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27
: , .
:
2.9.2 Interferential Statistics
Law of Probability
(Inductive)
-
-
:
:
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28
2.9.3
Population
(Sample Parameter
μ, “
(Statistic)” SD, x
2 Attributes
Variable
2.9.4
Data)
Sampling
Sampling Theory 2
1. No Probability Sampling)
Law of Chance
2. Probability Sampling
(Randomization
Random Sampling)
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29
: , .
:
2
1. Simple Random Sampling
2. Systematic Random
Sampling
0 – I
N =
n =
I = N =
Stratified Random Sampling)
x x x x x x x x x x x x x x x
x x x x x x
Nn
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30
: , .
:
Multi-stage Random Sampling)
1 2
: , .
:
xx
x xx
x xx
x o o x o o xo x x
x x
o o
x o x
x x x
x xx
x x xx x x
x x x
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31
2.9.5 Statistical for Engineering)
1. Average: X
X = x1 + x2 +x3+…+x n
N
2. Standard Deviation: SD
18 John Howard)
Frederic Le Play)
Charlesn Booth) 1886
“ ” 17
20
(Probability Sampling)
Prof. Paul F. Lazarsfeld)
(Description) (Causal Explanation)
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32
1.
(Explanation)
2.
2
1.
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33
2.
2.9.1 2
2.9.1.1
2
1.
(Mail Survey)
1.
2.
3.
4.
1.
30
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34
2.
3.
4.
5.
2. (Self-Administered Survey:
SAS)
2.9.1.2 (Interview)
2
1. (Telephone Interview Survey: TIS)
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35
1.
2.
3.
Croomb Freedman
3
2. (Face-To-Face Interview: FTFI Personal Interview
Survey: PIS) 3
3
85
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36
1.
2. (Exploration)
3.
1.
2.
3.
4.
5.
6.
2.9.2 2
2.9.2.1 (Probability Sampling)
(Chance Procedure)
Random Number Table)
(Prototype)
(Simple Random Sampling: SRS)
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37
1. (Simple Random Sampling: SRS)
(Equal Probability Sampling
Method: EPSM) (Random Process)
(Element)
15-49
2
15-49 100
1 1
2 2
3 3
100
1.
2.
3.
3
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38
4
2. (Systematic Sampling: SS)
1.
15- 49 1,000
2. 100 1,000
3. (Interval)
4. 1 100 (Random)
5 5 1
10
1 5
2 5 + 10 = 15
3 15 + 10 = 25
100 985 + 10 = 995
1 2 3 4
1
(I)
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39
3. (Stratified Sampling: SSL)
(Strata)
(15-29 ), 30-49 ,
(50-59 ) (60
2
1. (Representativeness)
2.
200 90 70
24 16
2
1.
2.
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40
4. (Cluster Sampling: CS)
5 10
)
1.
2.
3.
2 1)
, 2)
(Sampling Error)
Cooper and Schindler
630
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41
424
5 10
3,450 4,240
5. (Multistage Sampling: MS)
2
15-49
2540
(Enumeration District)
15 - 60
1.
50 5
5
2.
3.
(Master Frame)
Final Stage 50 5, 18, 27, 40, 49
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42
1. Deciding What Information Should Be Sought
2. Deciding What Type of
2
2
Open-Ended Question)
Closed or Fixed-Alternative Question)
,
Total Cycle Time)
Fill Rate)
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43
Average Total
Cycle Time)
Fill Rate)
, , (2551)
(Jammernegg and Reiner, 2007)
(Chibba, 2007)
, (2544)
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44
, (2549)
(Supply Chain Operations Reference Model: SCOR Model)
(Supply Chain Supply-Chain Council
Inc. SCOR Model (Supply Chain Management)
(Supply Chain)
(Supplier)
(Supply Chain Management)
(Supply Chain)
(Supplier)
,
(SWOT
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45
Analysis) (TOWS
Matrix) - (IE Matrix)
(QSPM)
121.79 8.47 (
1.75 3.25 (
1.67 3.67 (
,
(SCOR
Model)
–
2555
Adjusted Exponential Smoothing
(EOQ)
967,078
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46
A. Gunasekaran et al.,
1) Plan (2) Source (3) Make (4) Delivery
4
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4
3
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48
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49
( )
2
(Supply Chain Operations Reference Model: SCOR Model)
(Value Stream Mapping : VSM )
Broad View)
(From Supplier to Customer)
Diamond Model
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50
(SWOT analysis)
(Internal Factors
Analysis Summary : IFAS, External Factors Analysis Summary : EFAS)
)
(TOWS Matrix)
- Internal-External
(IE) matrix )
(IFE)
(EFE) IE
Matrix 3
Grow and Build I, II IV
Hold and Maintain III, V VII
Harvest or Divest VI, VIII IX
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3
Diamond model
SWOT
TOWS Matrix
280,416 (
, 3) (Taro Yamane,
1973)
n =N
1+Ne2
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52
n =280,416
1+(280,416× 2)
n = 400
n
N
e
3.5
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53
100
9
( , 2541: 40)
P = ×
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54
P
f
n
(Mean) ( , 2546: 39)
x
x
x
n
(Standard Deviation (
, 2546: 48)
= x
x
x
n
(Cronbach) (
0 1 0 / 1
(essay type tests)
(rating scale)
(Coefficient )
k
Si2
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55
St2 2t s
One- way ANOVA)
Null hypothesis
Alternative
hypothesis
210 :H =…
k
H 1 :
jiH :1 i j )
The sum of square
Total sum of squares ( ssT
NTX
ij
n
i
K
j
22
11 ssT =
2
11
jn
iij
K
jXX
Between – groups sum of squares ( ssB ) K
j 1(
j
j
nT 2
) - NT 2
K
jjn
1( XX j ) 2
– group sum of squares ( WSS )
K
j j
jn
iij
K
j nT
Xj
1
2
1
2
1
2
11
jn
ijij
K
jXX
SS T SS B SS W df
Mean of square : MS df T = N – 1 , df B = K – 1 df W = N – K
N K
T i = n
T =
n j = K = X ij = i j
jX = j X = K
j 1
jn
iijX
1
2 =
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56
4
1.
2 .
3.
4.
5. Diamond Model
6. (SWOT analysis)
7. (IFAS, EFAS)
8. (TOWS Matrix)
9. - (Internal-External
(IE) matrix)
10.
4.1
4.1.1
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57
/
4.1.2
4.1 4.2
P
P
/
P
S / S /
S
M
M
M
D /
D
R
/ /
R
/ /
Logistics Activity
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58
4.2
4.2 500
,
,
4.1.3
4.3
32
18 28
22
010203040
(%)
33.3 33.3 33.3
0
20
40
(%)
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59
4.3 3
,
4.1.4
4.1.4.1.
(Plan)
(Source) /
(Make) /
(Deliver)
(Return)
4.1.2.2
(Plan)
(Source)
(Make)
(Deliver)
(Return)
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60
4.2
400
4.2.1
4
4 318
79.50 82 20.50
20%
80%
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61
5 ( )
5 16-25 129
32. 26-35 109 27.
16
6
1.00% 32.30%
27.30% 14.00%
15.50%
8.80% 1.25% 16
16-25
26-35
36-45
46-55
56-65
65
0
20
40
60
/
…
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62
6 16
9
6
7
7 / 1
5
8
0
10
20
30 /
/
/…
96.50%
2.75% 0.50% 0.25%
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63
8
9
9 37
93
10 ( )
93.70%
2.30% 1.30% 2.70%
0
20
408,000
8,001 – 10,000
10,001 – 20,000
20,001 – 30,000
30,001 – 40,000
40,001
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64
10 10,001-20,000
1 , - 10,000 1
2 40,001
11 ( / )
11 1 /
2 / 1
2
0204060
1 /
2 /
3 / 4 /
0
50
100
/
/
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65
0
10
20
30 500
501 – 1,000
1,001 – 1,500 1,501 – 2,000
2,000
2
30 7 5 1
3 ( )
3 ,001 – , 00
1 01-1, 00 1
2 2
4
0
20
40
60
/
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66
4
2 1
0.
5
5
6 ( )
0
50
100
02040601 – 3
4 – 6
7 –9
10
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67
6 1-3
4-6 6
-
7 ( )
7
1
8
42%
18%
11%
29%
2
3
4
80.30%
19.70%
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68
8
9
9
/ 1 4
20
46.50%
10.00% 3.25% 5.00%
14.75%
0.75%
19.75% /
/
1.50% 4.00%
74.80%
19.70%
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69
20
2
9
6
4.3
1
Product)
3.28 3.37
3.04
3.05
3.34 3.44 3.85
3.5
3
3.73
0
1
2
3
41.
2.
3.
4.
5.
6.
7.
…
8.
9. -
10. /
…
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70
2 Price)
3
(Place)
3.22 3.2
3.1
3.21
3.24
3.38 3.44
3.41
3.3
3.14
2.93
3.13.23.33.43.5
1.
2.
/
3.
4.
…
5.
6.
7.
…
8.
9.
…
10.
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71
4
(Promotion)
: -
-
-
-
-
2.97 3.2
3.1
2.91
2.91 2.89 2.86
2.94
3.01
2.97
2.62.72.82.9
33.13.2
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
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72
25 4
25 (3. )
(3. )
(3. ) ( )
4.4
( )
.
. ( )
. ( )
.
.
3.36
3.41
3.26
2.98 2.6
2.8
3
3.2
3.4
3.6
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73
020406080
100
( ) ( )
1. - 1 – 14
2. – 15 – 28
3. - -
-
4.26 ( )
4.26
1
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74
0
1
2
3
4
(
) ( )
4.1
36.00 25.00 43.36
28.13 19.69 8.44
60.71 45.00 15.71
( ) 68.25 47.50 20.75
( ) 34.29 22.29 12.00
97.50 97.50
20.75 20.75
4.27 ( )
4.27 ( )
2
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75
0
500
1,000
1,500
( ) ( )
4.2
( )
( )
4.28 ( )
4.28 3
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76
0.00
50.00
100.00
(
) ( )
4.3
( )
( )
9 (%)
4.29
(%) 4
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77
4.4
(%) (%) (%)
75.00 87.
( )
( )
4. Diamond Model
Diamond Model
4.5
5 4 (Diamond Analysis)
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78
5 4 (Diamond Analysis)
4. (SWOT analysis)
4. .1 Strength-S)
–
1.
2.
3.
4.
5.
6.
4. .2 Weaknesses-W)
1.
2.
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79
3.
4.
5.
6.
4. .3 Opportunities – O)
1.
2.
3.
4.
5.
6.
(Threats – T)
1.
2.
3.
4.
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80
5.
6.
4.7 (IFAS, EFAS)
6 IFAS Matrix)
S1. 0.20 4 0.80
S2.
S3.
S4.
0.15
0.10
0.05
4
4
4
0.60
0.40
0.20
S5.
0.05 3 0.15
S6.
0.05 4
0.20
W1. 0.10 3 0.30
W2.
0.10 2 0.20
W3.
0.05 3 0.15
W4.
0.05 2 0.10
W5.
0.05 1 0.05
W6. 0.05 2 0.10
1.00 3.25
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81
7 EFAS Matrix)
O1.
0.15 4 0.60
O2.
0.15 4 0.60
O3.
0.05 3 0.15
O4. 0.05 3 0.15
O5. 0.10 3 0.30
O6. 0.10 4 0.40
T1. 0.05 2 0.10
T2. 0.10 3 0.30
T3.
0.05 2 0.10
T4.
0.10 3 0.30
T5.
0.05 2 0.10
T6. 0.05 1 0.05
1.00 3.15
TOWS
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4.8 (TOWS Matrix)
8 (TOWS Matrix)
Internal Factor
External Factor
Strengths- S) Weaknesses - W)
S1.
S2.
S3.
S4.
S5.
S6.
W1.
W2.
W3.
W4.
W5.
W6.
Opportunities – O) SO (SO strategy) WO (WO strategy)
O1.
O2.
O3.
O4.
O5.
O6.
1. S3,S5,S6,O1,O2,O6)
2. (S2,S3,S4,O3,O5)
(S3,S4,S5,O1,O2,O3,O4,O5)
1.
(W2,W4,W5,O1,O3,O4,O5)
2. (W4,O1,O2,O4,O5,O6)
(W2,W3,W4,O2,O3,O4)
Threats- T) ST (ST strategy) WT (WT strategy)
T1.
T2.
T3.
T4.
T5.
T6.
1. (S1,S2,S3,S4,S6,T1,T2,T3, T4,T5)
2. (S1,S2,S4,T2,T3,T4)
S3,S5,S6,T2,T3,T4,T5)
1.
(W2,W3,W4,T1,T2,T3,T4,T5,T6)
2
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83
3.0 2.0 1.0 4.0
3.0
2.0
1.0
4.9 - (The Internal-External
(IE) matrix)
(IFAS, EFAS)
IE Matrix 4.24
30 –
30
(Growth and Build) 1.
(Market Penetration), 2. (Market Development), 3. (Product
Development)
1.
1.1
2.
2.1
2.2
2.3
I II III
IV V VI
VII VIII IX
IFE
EFE
(3.25,3.15)
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84
2.4
3.
3.1
4.1
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4.10
SO
9
( KPI )
Action Plan
1.
30 %
2556
1.
-
-
1.
1.
-
-
5
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9
( KPI )
Action Plan
1.
1.
-
1.
2.
1.
2.
-
-
-
86
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9
( KPI )
Action Plan
-
1.
1.
-
1.
2
1.
-
7
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88
8
5
1.
2.
3.
5.
5.1.1
5.1.2
Supply Chain
58.98 4 1,200
54.02%
46.42 2.73 820
88.24%
5.
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89
5.2
2.1
2.2
5.
3.1
3.2
3.3
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90
. (2549). . :
.
. (2540). . :
.
. (2553). “ .”
“ - -
”. .
. (2533). 1. : .
. (2529). . :
. (2540). . :
.
. (2547). : . :
.
http://www.thailog.org/index.php?
option=com_booklibrary&task=view&id= &catid= &Itemid=
. (2534). . :
.
“
”
- :
2549
. (2523). . : .
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91
. (2525). . :
.
. (2553). .
:
. (2553). “
”. 48:
: 293-301.
:
. (2552). . :
.
:
. (2555). “
.” -
.
. (2553). SWOT . : .
. (2553). .
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92
A. Gunasekaran. (2004). “A framework for supply chain performance
measurement.” International Journal of Production Economics Volume 87. issue 3:
333–347.
Armstrong.M . (1996). Management Processes and Functions. London.
David. (2000). The process of communication. New York : The FreePress.
Husby, Paul. “Know the SCOR.” Material Handling Management. , no. June
-
Kilger, stadler Hartmut., Asgari,N., and Zanjirany Farahani R. (2000). “Supply Chain
Management and Andvance Programming, translation”. Rome Publication.
Michael E. Porter The Competitive Advantage of Nations , Free Press
Yamane T. (1973). Statistic:An Introductory Analysis. 3 rd ed. New York : Harper and Row.
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95
-
- IMP
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96
1
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97
-
- -
- -
-
- -
- -
- -
,
,
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99
“
”
.
4
1 :
2 :
3 :
4 :
/
1
1.
2. 1. 15 2. 16 – 25
3. 26 – 35 4. 36 – 45
5. 46 – 55 6. 56 – 65
7. 66
3. 1. 2.
3. 4.
5.
4. 1. / 2.
3. 4.
4. 5.
6. 7.
8. 9.
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100
5. 1. 2.
3. 4.
5. ..................
6. 1. 2.
3. ..................
7. 1. 8,000
2. 8,001 - 10,000
3. 10,001 - 20,000
4. 20,001 - 30,000
5. 30,001 - 40,000
6. 40,001
2
1.
1. 1 2. 2
3. 3 4. 4
5. ..................
2.
1. 2.
3. / 4.
5. 6. ..................
3.
1. 500 2. 501 - 1,000
3. 1,001 - 1,500 4. 1,501 - 2,000
5. 2,001
4.
1.
2.
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101
3.
4.
5.
6. ..................
5.
1.
2.
3.
4.
5.
6. ..................
6.
1. 1 - 3 2. 4 - 6
3. 7 - 9 4. 10
7.
1.
2. 2
3. 3
4. 4
8.
1. 3
2. 3-6
3. 6-8 (1 )
4. 1-2
5. ..................
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102
3
1.
4)
1. 2.
2.
1. 2.
3. 4.
5. 6. ................
3.
1. 2.
3.
5
5 =
4 =
3 =
2 =
1 =
:
5 4 3 2 1
(Product)
1.
2.
4.
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103
5 4 3 2 1
(Product)
5
6.
7.
8.
9. -
10.
(Price)
1.
2
3 /
4.
5.
6.
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104
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105
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106
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107
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108
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109
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110
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4.
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111
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115
-
80.00 720.00 5.00 5.00 5.00 10.00 5.00 10.00 15.00 15.00
80.00 720.00 5.00 5.00 5.00 10.00 5.00 10.00 20.00 15.00
50.00 1440.00 7.00 15.00 10.00 10.00 5.00 5.00 10.00 10.00
30.00 1440.00 5.00 5.00 5.00 10.00 10.00 5.00 10.00 5.00
30.00 1440.00 5.00 10.00 5.00 10.00 10.00 5.00 5.00 5.00
54.00 1,152.00 5.40 8.00 6.00 10.00 1,181.40 7.00 7.00 12.00 10.00 36.00
113
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116
-
120.00 720.00 5.00 15.00 0.00 7.00 5.00 5.00 15.00 10.00
80.00 1440.00 5.00 30.00 5.00 15.00 5.00 5.00 10.00 5.00
50.00 1440.00 5.00 20.00 5.00 15.00 5.00 5.00 5.00 5.00
60.00 1440.00 10.00 20.00 5.00 10.00 5.00 10.00 15.00 5.00
30.00 1440.00 5.00 15.00 5.00 15.00 5.00 5.00 5.00 5.00
50.00 1440.00 5.00 15.00 10.00 15.00 5.00 5.00 15.00 5.00
30.00 1440.00 5.00 10.00 5.00 15.00 5.00 5.00 10.00 5.00
50.00 1440.00 10.00 10.00 5.00 15.00 5.00 10.00 15.00 5.00
58.75 1,350.00 6.25 16.88 5.00 13.38 1,391.50 5.00 6.25 11.25 5.63 28.13
114
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117
-
60.00 2880.00 90.00 15.00 30.00 15.00 5.00 30.00 15.00 5.00
60.00 1440.00 45.00 15.00 30.00 10.00 5.00 45.00 30.00 5.00
80.00 1440.00 60.00 45.00 45.00 15.00 5.00 15.00 15.00 5.00
50.00 1440.00 60.00 5.00 30.00 10.00 5.00 15.00 15.00 5.00
50.00 1440.00 90.00 10.00 60.00 15.00 10.00 45.00 30.00 10.00
60.00 1,728.00 69.00 18.00 39.00 13.00 1,867.00 6.00 30.00 21.00 6.00 63.00
115
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118
-
800.00 1440.00 30.00 45.00 10.00 5.00 5.00 45.00 30.00 3.00
1000.00 1440.00 45.00 45.00 10.00 5.00 5.00 30.00 15.00 5.00
500.00 2880.00 90.00 30.00 5.00 10.00 3.00 45.00 30.00 5.00
300.00 2880.00 90.00 15.00 5.00 10.00 3.00 45.00 15.00 3.00
500.00 2880.00 120.00 15.00 5.00 7.00 5.00 30.00 15.00 5.00
400.00 1440.00 90.00 30.00 10.00 7.00 3.00 30.00 30.00 5.00
300.00 2880.00 90.00 15.00 5.00 10.00 5.00 45.00 30.00 3.00
300.00 2880.00 120.00 15.00 10.00 15.00 3.00 30.00 15.00 5.00
512.50 2,340.00 84.38 26.25 7.50 8.63 2,466.75 4.00 37.50 22.50 4.25 68.25
116
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119
-
500.00 2880.00 30.00 45.00 60.00 10.00 7.00 5.00 15.00 5.00
500.00 1440.00 10.00 60.00 30.00 5.00 5.00 5.00 30.00 10.00
300.00 2880.00 30.00 60.00 45.00 7.00 7.00 5.00 15.00 5.00
100.00 2880.00 45.00 15.00 60.00 15.00 5.00 3.00 10.00 5.00
400.00 1440.00 10.00 30.00 30.00 5.00 5.00 5.00 30.00 8.00
300.00 2880.00 30.00 30.00 60.00 10.00 7.00 5.00 15.00 5.00
200.00 1440.00 45.00 15.00 60.00 15.00 5.00 3.00 10.00 5.00
328.57 2,262.86 28.57 36.43 49.29 9.57 2,386.71 5.86 4.43 17.86 6.14 34.29
117
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120
-
50.00 2880.00 60.00 90.00 30.00 7.00 5.00 30.00 30.00 3.00
50.00 2880.00 60.00 60.00 30.00 7.00 5.00 45.00 45.00 3.00
120.00 1440.00 45.00 45.00 15.00 5.00 3.00 60.00 60.00 3.00
100.00 1440.00 45.00 45.00 30.00 5.00 5.00 45.00 45.00 3.00
80.000 2160.000 52.500 60.000 26.250 6.000 2304.75 4.50 45.00 45.00 3.00 97.50
18
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121
-
240.00 2880.00 60.00 90.00 30.00 7.00 5.00 3.00 10.00 3.00
192.00 2880.00 60.00 60.00 30.00 7.00 5.00 5.00 10.00 3.00
360.00 1440.00 45.00 45.00 15.00 5.00 3.00 5.00 10.00 3.00
360.00 1440.00 45.00 45.00 30.00 5.00 5.00 5.00 5.00 3.00
288.00 2160.00 52.50 60.00 26.25 6.00 2304.75 4.50 4.50 8.75 3.00 20.75
19
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122
-
250.00 720.00 10.00 5.00 5.00 5.00 5.00 15.00 30.00 25.00
230.00 720.00 10.00 5.00 5.00 5.00 5.00 15.00 35.00 30.00
160.00 1440.00 15.00 30.00 10.00 10.00 10.00 10.00 20.00 20.00
150.00 1440.00 10.00 5.00 5.00 10.00 5.00 10.00 20.00 10.00
100.00 1440.00 5.00 10.00 5.00 5.00 5.00 5.00 15.00 10.00
178.00 1,152.00 10.00 11.00 6.00 7.00 1,186.00 6.00 11.00 24.00 19.00 60.00
120
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123
-
400.00 720.00 5.00 15.00 0.00 3.00 5.00 10.00 30.00 15.00
250.00 1440.00 5.00 10.00 5.00 5.00 5.00 5.00 20.00 10.00
300.00 1440.00 5.00 15.00 5.00 7.00 5.00 5.00 25.00 15.00
250.00 1440.00 10.00 20.00 5.00 5.00 10.00 10.00 20.00 15.00
280.00 1440.00 5.00 10.00 5.00 5.00 5.00 5.00 20.00 15.00
230.00 1440.00 5.00 20.00 5.00 5.00 5.00 5.00 25.00 10.00
280.00 1440.00 5.00 10.00 5.00 7.00 5.00 5.00 25.00 15.00
250.00 1440.00 5.00 10.00 5.00 5.00 5.00 5.00 25.00 10.00
280.00 1,350.00 5.63 13.75 4.38 5.25 1,379.01 5.63 6.25 23.75 13.13 48.75
121
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124
-
300.00 1440.00 80.00 10.00 30.00 10.00 10.00 45.00 30.00 5.00
280.00 1440.00 80.00 5.00 30.00 5.00 10.00 45.00 30.00 5.00
300.00 1440.00 50.00 5.00 45.00 5.00 5.00 45.00 45.00 10.00
250.00 1440.00 50.00 10.00 30.00 8.00 5.00 45.00 25.00 5.00
250.00 1440.00 50.00 10.00 60.00 8.00 10.00 45.00 30.00 5.00
276.00 1440.00 62.00 8.00 39.00 7.20 1,556.20 8.00 45.00 32.00 6.00 91.00
122
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125
-
2000.00 1440.00 30.00 30.00 5.00 3.00 10.00 45.00 30.00 5.00
2300.00 1440.00 30.00 15.00 5.00 3.00 10.00 45.00 30.00 10.00
1000.00 1440.00 90.00 15.00 10.00 5.00 5.00 60.00 30.00 5.00
1300.00 1440.00 90.00 30.00 5.00 5.00 5.00 60.00 30.00 5.00
1500.00 1440.00 45.00 30.00 5.00 5.00 5.00 45.00 15.00 5.00
1300.00 1440.00 45.00 15.00 5.00 5.00 10.00 45.00 30.00 10.00
1000.00 2880.00 90.00 30.00 5.00 5.00 5.00 45.00 45.00 5.00
1000.00 2880.00 120.00 15.00 10.00 8.00 5.00 45.00 45.00 5.00
1,425.00 1,800.00 67.50 22.50 6.25 4.88 1,901.13 6.88 48.75 31.88 6.25 93.75
123
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126
-
1000.00 1440.00 15.00 45.00 30.00 5.00 5.00 10.00 45.00 5.00
1000.00 1440.00 10.00 60.00 45.00 5.00 5.00 5.00 30.00 10.00
1300.00 1440.00 15.00 60.00 60.00 5.00 5.00 5.00 45.00 5.00
1500.00 1440.00 15.00 15.00 15.00 7.00 5.00 3.00 15.00 5.00
1300.00 1440.00 10.00 30.00 45.00 5.00 10.00 5.00 30.00 10.00
1000.00 2880.00 15.00 30.00 60.00 5.00 5.00 10.00 45.00 5.00
1000.00 2880.00 15.00 15.00 60.00 8.00 5.00 3.00 15.00 5.00
1,157.14 1,851.43 13.57 36.43 45.00 5.71 1,952.14 5.71 5.86 32.14 6.43 50.14
124
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127
-
100.00 1440.00 30.00 90.00 30.00 5.00 3.00 45.00 45.00 3.00
200.00 1440.00 60.00 90.00 30.00 5.00 3.00 45.00 60.00 3.00
250.00 720.00 15.00 45.00 15.00 3.00 5.00 60.00 60.00 3.00
150.00 1440.00 15.00 60.00 15.00 3.00 5.00 60.00 45.00 3.00
175.00 1,260.00 30.00 71.25 22.50 4.00 1,387.75 4.00 52.50 52.50 3.00 112.00
125
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128
-
480.00 1440.00 5.00 5.00 60.00 5.00 8.00 3.00 15.00 3.00
480.00 1440.00 5.00 0.00 45.00 5.00 5.00 3.00 15.00 3.00
720.00 1440.00 10.00 0.00 15.00 3.00 10.00 5.00 15.00 5.00
600.00 1440.00 10.00 5.00 30.00 3.00 10.00 5.00 10.00 5.00
570.00 1,440.00 7.50 2.50 37.50 4.00 1,491.50 8.25 4.00 13.75 4.00 30.00
126
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–
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1,152.00 5.40 8.00 6.00 10.00
7.00 7.00 12.00 10.00 TCT
36.00
TLT
,181.40
-1
660
7.00 - 18.00
54
7
14
23
1
7.00
1
7.00
1
12.00
1
10.00
75.00 %
18
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1,350.00 6.25 16.88 5.00 13.38
5.00 6.25 11.25 5.63 TCT
28.13
TLT
, 91.50
-
690
7.00 - 18.30
59
18
6
25
1
5.00
1
6.25
1
11.25
1
5.63
62.51 %
19
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6.00 6.00
39.00 18.00 69.00 13.00 1,728.00
30.00 21.00 TCT
60.71
TLT
1,867
-
600
8.00 - 18.00
60
4
11
1
6.00
1
30.00
1
21.00
1
6.00
52.50 %
130
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2,340.00 84.38 26.25 7.50 8.63
4.00 37.50 22.50 4.25 TCT
68.25
TLT
,466.75
- (
660
7.00 - 18.00
133
1
37.50
1
22.50
1
4.25
45.50 %
131
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2,262.86 28.57 36.43 49.29 9.57
5.86 4.43 17.86 6.14 TCT
34.29
TLT
,386.71
- (
690
7.00 - 18.30
329
50
20
59
1
5.86
1
4.43
1
17.86
1
6.14
48.00 %
132
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2,160.00 60.00 11.43 26.25 6.00
4.50 45.00 45.00 3.00 TCT
97.50
TLT
,
-
690
7.00 - 18.30
1
4.50
1
45.00
1
45.00
1
3.00
54.17 % 133
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2,160.00 52.50 60.00 26.25 6.00
4.50 4.50 8.75 3.00 TCT
20.75
TLT
,
-
690
7.00 - 18.30
1
4.50
1
4.50
1
8.75
1
3.00
59.29 %
134
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1,152.00 0 .00 6. 6.00
0 0 .00 TCT
60.00
TLT
1,186.00
-
780
6.00 - 19.00
178
64
39
75
1
6.00
1
11.00
1
24.00
1
19.00
62.50 %
135
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-
5.25 4.38 13.75 5.63
780
6.00 - 19.00
280
125
85
70
1
5.63
1
23.75
1
13.13
51.33 %
5.63
1,350.00
6.25 23.75 13.13 TCT
48.75
TLT
,379.01
1
136
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-
1,440.00 62.00 8.00 39.00 7.20
690
7.00 - 18.30
276
51
26
16
1
8.00
1
45.00
1
32.00
1
6.00
50.56 %
8.00 45.00 32.00 6.00 TCT
91.00
TLT
1,556.20
137
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- (
720
7.00 - 19.00
4
8
10
550
35
270
255
1
6.88
1
48.75
1
31.88
1
6.25
48.08 %
1,800.00 67.50 22.50 6.25 4.88
6.88 48.75 31.88 6.25 TCT
93.75
TLT
,901.13
18
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- (
720
7.00 - 19.00
1,158
615
3
1
1
5.71
1
5.86
1
32.14
1
6.43
39.00 %
1,851.43 13.57 36.43 45.00 5.71
5.71 5.86 32.14 6.43 TCT
50.14
TLT
,952.14
19
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-
720
7.00 - 19.00
6
5
60
50
11
1
1
4.00
1
52.50
1
52.50
1
3.00
53.33%
1,260.00 30.00 71.25 22.50 4.00
4.00 52.50 52.50 3.00 TCT
112.00
TLT
,
140
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-
720
7.00 - 19.00
570
4
15
0
1
8.25
1
4.00
1
13.75
1
4.00
54.55 %
1,440.00 7.50 2.50 37.50 4.00
8.25 4.00 13.75 4.00 TCT
30.00
TLT
,
141
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144
-
660
7.00 - 18.00
54
7
14
23
2
14.00
2
11.00
8 . %
TCT
25.00
TLT
,170.00
1,152.00 8.00
14.00 11.00
10.00
142
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145
-
59
18
6
25
1
11.25
2
8.44
TCT
19.69
TLT
, 80.26
1,350.00 16.88
11.25 8.44
12.40
690
7.00 - 18.30
.5 %
143
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146
-
60
11
2
18.00
1
27.00
TCT
45.00
TLT
1,759.00
1,728.00 18.00
18.00 27.00
13.00
600
8.00 - 18.00
83.33 %
144
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147
- (
133
2
20.75
1
26.75
TCT
47.50
TLT
,374.88
2,340.00 26.25
20.75 26.75
8.63
660
7.00 - 18.00
88.79 %
145
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148
- (
329
5
120
59
1
10.29
2
12.00
TCT
22.29
TLT
,308.86
2,262.86 36.43
10.29 12.00
9.57
690
7.00 - 18.30
92.88 %
146
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149
-
1
49.50
1
48.00
TCT
97.50
TLT
,177.43
2,160.00 11.43
49.50 48.00
6.00
690
7.00 - 18.30
98.48 %
147
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150
-
1
9.00
1
11.75
TCT
20.75
TLT
,
2,160.00 60.00
9.00 11.75
6.00
690
7.00 - 18.30
88.30 %
18
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151
-
780
6.00 - 19.00
178
64
39
75
1
17.00
2
21.50
89.53 %
TCT
38.50
TLT
,170.00
1,152.00 11.00
17.00 21.50
7.00
19
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152
-
280
125
85
70
1
11.88
2
18.44
TCT
30.32
TLT
,369.0
1,350.00 13.75
11.88 18.44
5.25
780
6.00 - 19.00
82.21 %
150
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153
-
276
51
26
16
2
26.50
1
38.00
TCT
64.650
TLT
,455.20
1,440.00 8.00
26.50 38.00
7.20
690
7.00 - 18.30
84.87 %
151
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154
- (
4
8
10
5
35
270
255
2
27.82
1
38.13
TCT
65.95
TLT
,827.38
1,800.00 22.50
27.82 38.13
4.88
720
7.00 - 19.00
86.48 %
152
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155
- (
1,158
615
3
193
1
11.57
2
19.29
TCT
30.86
TLT
, 93.57
1,851.43 36.43
11.57 19.29
5.71
720
7.00 - 19.00
79.99 %
153
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156
-
6
5
60
50
11
1
1
56.50
1
55.50
TCT
112.00
TLT
,
1,260.00 71.25
56.50 55.50
4.00
720
7.00 - 19.00
99.12 %
4
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157
-
570
4
15
0
1
12.25
1
17.75
TCT
30.00
TLT
,
1,440.00 2.50
12.25 17.75
4.00
720
7.00 - 19.00
84.51 %
155
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156
(VSM)
(VSM)
(VSM -1 –14
–15 –28
- -
-1 (VSM)
%
- 36.00 25.00 11.00 30.56
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 75.00 87.51 12.51 16.68
- 28.13 16.69 11.44 40.67
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
62.51 98.54 36.03 57.64
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157
-1 (VSM)
%
- 60.71 45.00 15.71 25.88
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 52.20 83.33 31.13 59.64
- 68.25 47.50 20.75 30.40
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
45.50 88.79 43.29 95.14
- 34.29 22.29 12.00 35.00
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
48.00 92.88 44.88 93.50
- 34.29 22.29 12.00 35.00
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
48.00 92.88 44.88 93.50
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158
-1 (VSM)
%
- 20.75 20.75 0.00 0.00
- 4.00 2.00 2.00 50.00
- 1,200.00 600.00 600.00 50.00
-
52.29 88.30 36.01 68.87
-2 (VSM)
%
- 60.00 38.50 21.50 35.83
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 62.50 89.53 27.03 43.25
- 48.75 30.32 18.43 37.81
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 51.33 82.21 30.88 60.16
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159
-2 (VSM)
%
- 91.00 64.65 26.35 28.96
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 50.56 84.87 34.31 67.86
- 93.75 65.95 27.80 29.65
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
48.08 86.48 38.40 79.87
- 50.14 30.86 19.28 38.45
- 4.00 3.00 1.00 25.00
- 1,200.00 900.00 300.00 25.00
-
(%) 39.00 79.99 40.99 105.10
- 112.00 112.00 0.00 0.00
- 4.00 2.00 2.00 50.00
- 1,200.00 600.00 600.00 50.00
-
(%) 53.33 99.12 45.79 85.86
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160
-2 (VSM)
%
- 30.00 30.00 0.00 0.00
- 4.00 2.00 2.00 50.00
- 1,200.00 600.00 600.00 50.00
-
(%) 54.55 84.51 29.96 54.92