1. 2. 3. 1. 2. 3 3. 9 / 180cc 8.40% 2 8 100 110 1. 60 0 2400 2. 50 15 3000 / SWOT i
ii SWOT
...i... ii...v...vi...1 1.1...1 1.2...2 1.3...2...6 2.1...6 2.2...7 2.3...8 2.4...12...13 3.1...14 3.2...16 3.3...17 3.4...18 iii
3.5...18 3.6...19...20 4.1...20 4.2...21 4.3 A...22 4.4...26 SWOT...30 5.1...30 5.2 SWOT...30 5.3...36...40 6.1...40 6.2...41...43 71-91...45...46 iv
1.1...3 2.1...7 2.2...9 2.3...10 4.1 A...21 4.2 A (84-90 )...25 v
2.1...6 2.2...7 3.1...13 4.1 A 71-91...22 4.2 A...23 4.3...25 4.4 /...26 4.5...27 5.1 A SWOT...30 5.2 A...32 5.3...34 5.4...37 vi
1 1.1 50 A 1. 2. 3. 1. 2. 3 3. 9 / 180cc 8.40%
2 8 100 110 1. 60 0 2400 2. 50 15 3000 / 1.2 1.3 1.1 2
SWOT WINQNSB 1.1 3
1. 2. 3. 4. 5. 6. 7. 4
8. SWOT 9. SWOT 10. SWOT 5
2.1 3308 3219 10 3200 12 2.1 2.1 88 5854 89 5916 90 5916 (/ ) 5854 5916 5916 15 6
2.2 4530 4216 4100 1 2.2 2.2 88 89 90 4530 4216 4100 3308 3219 3200 1222 997 900 2.1 7
8 3700 4100 3500 1 3664 2.3 2 7 16 2.3
2.2 1. 100 2. 3. 8:00 19:00 4. 1. 100 100 2. 50 9
3. 1 2.4 2.3 1. 100 2. 3. 8:00 19:00 1. 10
1 2. 2.4 2.4 1. 2. 3. 1. 2. 3. 11
4. 2.4 6 2-5 63.7% 79.2% 71.6% 180cc 28 180cc 25 180cc 20 12
10 3.1 3.1 / A 34 600 102 2 8 7 2 20 B 46 450 60 1 10 8 1 23 C 36 4000 500 5 9 8 1 10 D 60 400 100 2 10 9 1 20 E 45 600 200 2 8 8 1 19 F 41 4000 500 2 7 7 1 20 0 G 40 1299 100 2 9 8 1 18 13
3.1 G G 12000 300 / 1. E 14
6 2. 70% 80% 5 1.5 3 1. 2. 3. 4. 5. 13 D 67 3.3% 30 30 15
D 69 5 D - - - 2 6-8 5-7 3.2 16
8 25 / 20 / 3.3 17
3.4 80 1 24 3.5 G G 18
3.6 B B 50 200 40% 19
4.1 A 71 8.40% 71 7 12 108 110 10 20 /(180cc) 28 / 1. 10 43% 2. 5-10 41% 3. 1-5 13% 4. 3% 4.1 20
4.1 A 4.2 A 20 4.1 600 108 2 21
4.1 A 71-91 A 71-91 180cc/ 71-75 5 40-120 7-35 15 75-81 4 120-250 35-70 18 82-84 5 2 250-400 70-130 20 85-86 3 1 350-300 130-108 20 87-89 3 1 300-250 108-102 20 89-90 3 1 250-180 102 20 91 3 1 180-200 110 20 2 2 1 1 1 1 20000 / 140 140 4.3 A 180cc 5.5 6 22
A (84 90 ) 4.2 4.2 A A (84/12/31-90/12/31) 84 85 86 87 88 89 90 130 120 108 106 104 102 102 40856 37713 33942 33313 32685 32056 32056 / 32685 30170 27153 26650 26148 25645 25645 66.56 66.56 66.56 66.56 66.56 66.56 66.56 2175521 2008173 1807356 1773886 1740417 1706947 1706947 960000 840000 840000 840000 480000 480000 480000 339742 313608 282247 277020 271793 266566 266566 544860 594762 509796 458816 424830 339864 305877 7000 7000 7000 7000 7000 7000 7000 -$419,610 -$419,610 -$419,610 -$419,610 -$419,610 -$419,610 -$419,610 $2,271,212 2091370 1975043 1918836 1519623 1429430 1395444 -$95,691 -$166,807 -$251,297 -$228,560 $137,184 $193,907 $227,894 480000 480000 480000 480000 480000 480000 480000 $384,309 $313,193 $228,703 $251,440 $617,184 $673,907 $707,894 =2.91 /*0.36* *300 1 = *0.8*...... 2 = *20000 /*12 3 = *20000 /*12 4 23
=7.16 / * *365 5 =16.67 / * *0.8 6 = 2 /* /...7 =PMT(6.25%,20,4000000,0,0) 8 1. 2.9 2. 36% 3. 300 4. 80% 5. 16.67 480000 / = A 84 87 88 24
4.2 A (84-90 ) 2 SPSS 8.0 4.3 4.3 1.69 5 0.11 1.22 4 0.16 1.62 2 0.57 1.43 12 0.35 1.37 9 0.45 1.62 7 0.18 1.67 26 0.45 0.72 4 0.54 1.50 69 0.43 25
1.5 2.9 A 4.4 / 88 89 90 4530 11100 4216 11100 4100 11100 3308 7100 3219 7100 3200 7100 1222 4000 997 4000 900 4000 A (88 90 ) 3 10.27 23.50 3:30 7:00 5.2 A 3:30 11 4.4 26
110 / 100 10 / 20 / 180cc 111 / 70 13 480 4.5 4.5 () ( () () () ) 111 ( ) 71 40 16 100 30 ( ) 13 17 7 10 27
4.5 1. 40 2. 17 1. X1= A X2= A 2. Max 40X1+17X2 ( ) 3. X1<=100 X2<=10 16X1+ 7X2 <=960 X1+X2<=110 4. X1,X2 >=0 WINQNSB linear and integer programming X1=60X2=0MAX40X1+17X2=2400 28
Slack=0 Shadow price=2.5 60 0 2400 38.8 2.5 1600 40 10 29
SWOT 5.1 SWOT 5.1 5.2 SWOT 5.1 5.1 A SWOT 1. 1. 2. 2. 3. 3. 4. 4. 5. 1. 1. WTO 2. 2. 3. 3. 4. 4. 5. 5. 6. 7. 30
A 259 4% 150 99% 60% 0 15 75 84 A A 31
5.2 5.2 A 3:30-7:00 7:00-8:00 8:00-10:00 10:00-11:30 11:30-13:30 13:30-15:30 15:30-17:30 17:30-19:00 19:00-21:00 21:00-23:00 23:00-3:30 32
100 21:00-23:00 28 / 20 180CC 0910050991 2 33
CLA CLA 17 5.3 5.3 67 87.1 3.5 4.5 0.8 124 110 0.1 20 68 87.8 3 4.8 0.7 110 85 0.1 120 59 88 1.5 7.2 0.2 33 21 0.2 30 5.1 34
WTO 3 35
5.3 SWOT 2 105 840,000-159,071.3 680,929 / = 36
1. 5.3% 2. 6.25% 8.4% 6.25% Excel =PMT(6.25%,20,4000000,0,0) 5.4 5.4 4000000 8.40% 20 -$419,610 4000000 6.25% 20 -$355,849 4000000 5.30% 20 -$329,185 1. 6.25% 419,610 355,849 63,761 15.2% 2. 5.30% 419,610 329,185 90,425 21.5% 37
16 25 25 (180CC ) 28 25 / ( ) (50 100~140 ) 38
39
6.1 1. 2. 3 9 / 180cc 89% 40
2 8 102 110 60 0 2400 50 15 3000 / 6.2 1. 2. 3. 4. 41
42
1., 2830 2001 2. 89, 958 2001 3. WTO, 21 2932 2001 4. 57112 1997 5. 53 27 1993 6. 357386 2000 7. 13 1995 8. 126161 1998 9. 233 250 (2002) 10. 43
13 1993 11. 2000 12. 1999 13.,21 2628 2001 14. CHANhan S.Park Contemporary Engineering Economics 578581 1997 15. 6873 16. CVP e 2002 17. http://www.cng.com.tw/goatmilk002.htm 44
71-91 71-91 70.12.17 13.500% 71.12.30 9.500% 73.11.24 8.250% 74.11.23 7.000% 75.10.21 6.250% 78.05.12 10.500% 79.09.12 10.000% 80.11.19 8.500% 81.10.06 8.000% 82.09.18 7.750% 83.04.18 7.625% 84.11.11 7.250% 85.11.15 7.025% 86.08.07 7.150% 87.12.08 7.250% 88.02.03 7.200% 90.11.09 6.790% 91.07.01 6.625% 45
46 74 5 035313150
1. 2. 3. 4. 5. 6. 7. 1. 2. 3. 8. 1 2 / 47
3 / 4 5 9. 1 1-5 5-10 10-15 15-20 20 10. 11. 12. 13. 14. / 50 15. 48
16. 17. WTO 18. TO 74 5 49