iVOD / 164958

Field Value
IVOD_ID 164958
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164958
日期 2025-11-03
會議資料.會議代碼 委員會-11-4-35-11
會議資料.會議代碼:str 第11屆第4會期外交及國防委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 35
會議資料.委員會代碼:str[0] 外交及國防委員會
會議資料.標題 第11屆第4會期外交及國防委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-11-03T10:49:39+08:00
結束時間 2025-11-03T11:06:45+08:00
影片長度 00:17:06
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/64fc785e736c17e98b7ee1d80198d104926af2ae94b9c1ca79fc1879a9d0e6b411b57a280f0214d75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 王定宇
委員發言時間 10:49:39 - 11:06:45
會議時間 2025-11-03T09:00:00+08:00
會議名稱 立法院第11屆第4會期外交及國防委員會第11次全體委員會議(事由:邀請國防部部長顧立雄報告「近年國軍各項軍事工程落後及軍、商購案延宕原因分析及具體應處作為」,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 0.41909375
transcript.pyannote[0].end 0.62159375
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1.26284375
transcript.pyannote[1].end 2.44409375
transcript.pyannote[2].speaker SPEAKER_04
transcript.pyannote[2].start 3.05159375
transcript.pyannote[2].end 3.62534375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 10.34159375
transcript.pyannote[3].end 10.35846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 10.35846875
transcript.pyannote[4].end 10.99971875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 10.99971875
transcript.pyannote[5].end 12.01221875
transcript.pyannote[6].speaker SPEAKER_04
transcript.pyannote[6].start 12.48471875
transcript.pyannote[6].end 13.49721875
transcript.pyannote[7].speaker SPEAKER_04
transcript.pyannote[7].start 13.91909375
transcript.pyannote[7].end 16.51784375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 17.04096875
transcript.pyannote[8].end 23.84159375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 24.16221875
transcript.pyannote[9].end 26.27159375
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 26.96346875
transcript.pyannote[10].end 34.40534375
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 35.43471875
transcript.pyannote[11].end 36.05909375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 36.78471875
transcript.pyannote[12].end 38.11784375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 38.74221875
transcript.pyannote[13].end 39.83909375
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 40.68284375
transcript.pyannote[14].end 41.15534375
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 41.25659375
transcript.pyannote[15].end 45.37409375
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 46.67346875
transcript.pyannote[16].end 47.73659375
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 48.31034375
transcript.pyannote[17].end 51.46596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 52.57971875
transcript.pyannote[18].end 57.52409375
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 56.44409375
transcript.pyannote[19].end 57.16971875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 57.52409375
transcript.pyannote[20].end 62.82284375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 63.12659375
transcript.pyannote[21].end 66.19784375
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 66.88971875
transcript.pyannote[22].end 69.16784375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 70.16346875
transcript.pyannote[23].end 76.00221875
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 73.30221875
transcript.pyannote[24].end 75.29346875
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 75.95159375
transcript.pyannote[25].end 84.72659375
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 85.46909375
transcript.pyannote[26].end 87.47721875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 88.21971875
transcript.pyannote[27].end 90.27846875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 90.73409375
transcript.pyannote[28].end 96.10034375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 97.65284375
transcript.pyannote[29].end 100.25159375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 101.29784375
transcript.pyannote[30].end 103.59284375
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 104.23409375
transcript.pyannote[31].end 106.57971875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 107.60909375
transcript.pyannote[32].end 110.79846875
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 112.23284375
transcript.pyannote[33].end 114.67971875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 115.47284375
transcript.pyannote[34].end 119.67471875
transcript.pyannote[35].speaker SPEAKER_04
transcript.pyannote[35].start 120.16409375
transcript.pyannote[35].end 123.74159375
transcript.pyannote[36].speaker SPEAKER_04
transcript.pyannote[36].start 124.06221875
transcript.pyannote[36].end 126.37409375
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 127.43721875
transcript.pyannote[37].end 129.63096875
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 129.88409375
transcript.pyannote[38].end 132.43221875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 133.56284375
transcript.pyannote[39].end 134.62596875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 134.98034375
transcript.pyannote[40].end 140.75159375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 141.84846875
transcript.pyannote[41].end 157.77846875
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 157.94721875
transcript.pyannote[42].end 158.79096875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 160.68096875
transcript.pyannote[43].end 161.30534375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 163.14471875
transcript.pyannote[44].end 164.57909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 163.16159375
transcript.pyannote[45].end 163.58346875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 164.86596875
transcript.pyannote[46].end 165.06846875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 166.01346875
transcript.pyannote[47].end 168.96659375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 168.83159375
transcript.pyannote[48].end 172.74659375
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 173.01659375
transcript.pyannote[49].end 178.19721875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 178.53471875
transcript.pyannote[50].end 181.40346875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 181.92659375
transcript.pyannote[51].end 197.33346875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 197.83971875
transcript.pyannote[52].end 208.03221875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 208.23471875
transcript.pyannote[53].end 209.29784375
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 210.00659375
transcript.pyannote[54].end 213.75284375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 215.47409375
transcript.pyannote[55].end 217.00971875
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 217.00971875
transcript.pyannote[56].end 217.02659375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 217.36409375
transcript.pyannote[57].end 224.24909375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 225.00846875
transcript.pyannote[58].end 235.50471875
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 235.87596875
transcript.pyannote[59].end 237.83346875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 238.47471875
transcript.pyannote[60].end 241.15784375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 242.99721875
transcript.pyannote[61].end 246.18659375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 246.72659375
transcript.pyannote[62].end 258.15096875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 258.43784375
transcript.pyannote[63].end 262.79159375
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 261.28971875
transcript.pyannote[64].end 263.83784375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 263.11221875
transcript.pyannote[65].end 267.78659375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 268.14096875
transcript.pyannote[66].end 269.91284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 268.15784375
transcript.pyannote[67].end 268.74846875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 268.74846875
transcript.pyannote[68].end 268.78221875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 269.77784375
transcript.pyannote[69].end 270.03096875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 269.96346875
transcript.pyannote[70].end 274.70534375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 270.03096875
transcript.pyannote[71].end 270.77346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 270.77346875
transcript.pyannote[72].end 271.04346875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 272.86596875
transcript.pyannote[73].end 273.76034375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 275.04284375
transcript.pyannote[74].end 278.41784375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 280.03784375
transcript.pyannote[75].end 281.20221875
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 280.07159375
transcript.pyannote[76].end 280.08846875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 280.08846875
transcript.pyannote[77].end 280.37534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 281.86034375
transcript.pyannote[78].end 300.96284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 285.69096875
transcript.pyannote[79].end 286.07909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 290.70284375
transcript.pyannote[80].end 291.49596875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 299.81534375
transcript.pyannote[81].end 308.01659375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 301.78971875
transcript.pyannote[82].end 302.14409375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 308.47221875
transcript.pyannote[83].end 318.63096875
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 319.20471875
transcript.pyannote[84].end 324.30096875
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 324.87471875
transcript.pyannote[85].end 327.35534375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 327.81096875
transcript.pyannote[86].end 336.73784375
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 336.97409375
transcript.pyannote[87].end 343.21784375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 343.50471875
transcript.pyannote[88].end 347.06534375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 347.06534375
transcript.pyannote[89].end 347.52096875
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 347.52096875
transcript.pyannote[90].end 354.13596875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 354.43971875
transcript.pyannote[91].end 360.53159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 360.93659375
transcript.pyannote[92].end 361.30784375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 361.20659375
transcript.pyannote[93].end 363.02909375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 363.02909375
transcript.pyannote[94].end 363.80534375
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 363.04596875
transcript.pyannote[95].end 363.07971875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 363.41721875
transcript.pyannote[96].end 367.50096875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 367.77096875
transcript.pyannote[97].end 372.91784375
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 373.67721875
transcript.pyannote[98].end 376.68096875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 377.03534375
transcript.pyannote[99].end 395.46284375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 395.66534375
transcript.pyannote[100].end 404.50784375
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 405.28409375
transcript.pyannote[101].end 409.95846875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 410.46471875
transcript.pyannote[102].end 414.73409375
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 415.96596875
transcript.pyannote[103].end 425.31471875
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 426.07409375
transcript.pyannote[104].end 428.23409375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 428.58846875
transcript.pyannote[105].end 431.06909375
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 431.25471875
transcript.pyannote[106].end 434.02221875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 435.06846875
transcript.pyannote[107].end 444.18096875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 444.61971875
transcript.pyannote[108].end 450.82971875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 452.11221875
transcript.pyannote[109].end 452.98971875
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 453.46221875
transcript.pyannote[110].end 454.87971875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 455.63909375
transcript.pyannote[111].end 457.66409375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 458.40659375
transcript.pyannote[112].end 469.35846875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 469.83096875
transcript.pyannote[113].end 473.07096875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 474.43784375
transcript.pyannote[114].end 479.01096875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 479.01096875
transcript.pyannote[115].end 479.02784375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 479.02784375
transcript.pyannote[116].end 479.29784375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 479.29784375
transcript.pyannote[117].end 479.31471875
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 479.98971875
transcript.pyannote[118].end 487.26284375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 487.97159375
transcript.pyannote[119].end 490.97534375
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 490.97534375
transcript.pyannote[120].end 494.70471875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 495.14346875
transcript.pyannote[121].end 497.60721875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 498.06284375
transcript.pyannote[122].end 500.77971875
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 501.10034375
transcript.pyannote[123].end 501.58971875
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 502.01159375
transcript.pyannote[124].end 503.14221875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 503.71596875
transcript.pyannote[125].end 505.33596875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 505.33596875
transcript.pyannote[126].end 505.35284375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 505.62284375
transcript.pyannote[127].end 505.63971875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 505.63971875
transcript.pyannote[128].end 507.02346875
transcript.pyannote[129].speaker SPEAKER_03
transcript.pyannote[129].start 507.02346875
transcript.pyannote[129].end 507.15846875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 507.15846875
transcript.pyannote[130].end 507.47909375
transcript.pyannote[131].speaker SPEAKER_03
transcript.pyannote[131].start 508.82909375
transcript.pyannote[131].end 515.42721875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 516.06846875
transcript.pyannote[132].end 519.22409375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 519.22409375
transcript.pyannote[133].end 526.24409375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 519.24096875
transcript.pyannote[134].end 520.18596875
transcript.pyannote[135].speaker SPEAKER_03
transcript.pyannote[135].start 525.78846875
transcript.pyannote[135].end 526.21034375
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 526.24409375
transcript.pyannote[136].end 534.81659375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 533.90534375
transcript.pyannote[137].end 540.92534375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 536.23409375
transcript.pyannote[138].end 536.60534375
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 539.94659375
transcript.pyannote[139].end 549.05909375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 548.65409375
transcript.pyannote[140].end 551.74221875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 550.25721875
transcript.pyannote[141].end 551.18534375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 551.60721875
transcript.pyannote[142].end 556.01159375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 555.35346875
transcript.pyannote[143].end 562.40721875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 563.21721875
transcript.pyannote[144].end 568.78596875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 568.78596875
transcript.pyannote[145].end 570.45659375
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 570.45659375
transcript.pyannote[146].end 570.50721875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 570.50721875
transcript.pyannote[147].end 576.54846875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 570.52409375
transcript.pyannote[148].end 570.94596875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 573.71346875
transcript.pyannote[149].end 574.01721875
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 575.06346875
transcript.pyannote[150].end 575.89034375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 575.89034375
transcript.pyannote[151].end 576.26159375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 576.46409375
transcript.pyannote[152].end 576.49784375
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 576.49784375
transcript.pyannote[153].end 576.51471875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 576.51471875
transcript.pyannote[154].end 576.58221875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 576.54846875
transcript.pyannote[155].end 576.90284375
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 576.88596875
transcript.pyannote[156].end 582.10034375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 580.59846875
transcript.pyannote[157].end 581.42534375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 582.03284375
transcript.pyannote[158].end 590.55471875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 590.72346875
transcript.pyannote[159].end 591.02721875
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 591.02721875
transcript.pyannote[160].end 591.07784375
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 591.21284375
transcript.pyannote[161].end 592.39409375
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 592.71471875
transcript.pyannote[162].end 592.91721875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 592.91721875
transcript.pyannote[163].end 593.96346875
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 593.96346875
transcript.pyannote[164].end 597.81096875
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 598.19909375
transcript.pyannote[165].end 603.14346875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 603.32909375
transcript.pyannote[166].end 607.53096875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 603.66659375
transcript.pyannote[167].end 603.71721875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 607.81784375
transcript.pyannote[168].end 614.41596875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 614.68596875
transcript.pyannote[169].end 623.32596875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 623.84909375
transcript.pyannote[170].end 627.47721875
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 627.71346875
transcript.pyannote[171].end 629.08034375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 629.18159375
transcript.pyannote[172].end 641.56784375
transcript.pyannote[173].speaker SPEAKER_03
transcript.pyannote[173].start 633.29909375
transcript.pyannote[173].end 633.63659375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 642.14159375
transcript.pyannote[174].end 648.38534375
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 644.52096875
transcript.pyannote[175].end 645.49971875
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 648.62159375
transcript.pyannote[176].end 654.17346875
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 653.38034375
transcript.pyannote[177].end 654.57846875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 654.57846875
transcript.pyannote[178].end 654.96659375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 654.96659375
transcript.pyannote[179].end 667.25159375
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 658.61159375
transcript.pyannote[180].end 659.05034375
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 667.53846875
transcript.pyannote[181].end 672.85409375
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 672.16221875
transcript.pyannote[182].end 683.01284375
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 678.10221875
transcript.pyannote[183].end 678.22034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 678.22034375
transcript.pyannote[184].end 678.62534375
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 683.01284375
transcript.pyannote[185].end 688.96971875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 688.96971875
transcript.pyannote[186].end 694.97721875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 692.10846875
transcript.pyannote[187].end 692.29409375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 695.14596875
transcript.pyannote[188].end 706.46909375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 696.17534375
transcript.pyannote[189].end 696.61409375
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 697.37346875
transcript.pyannote[190].end 700.14096875
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 706.35096875
transcript.pyannote[191].end 709.06784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 709.40534375
transcript.pyannote[192].end 711.85221875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 709.52346875
transcript.pyannote[193].end 709.62471875
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 710.60346875
transcript.pyannote[194].end 711.48096875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 711.70034375
transcript.pyannote[195].end 719.53034375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 720.57659375
transcript.pyannote[196].end 721.01534375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 721.48784375
transcript.pyannote[197].end 730.92096875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 721.79159375
transcript.pyannote[198].end 723.12471875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 731.74784375
transcript.pyannote[199].end 739.10534375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 737.19846875
transcript.pyannote[200].end 737.62034375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 739.67909375
transcript.pyannote[201].end 743.57721875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 743.57721875
transcript.pyannote[202].end 749.11221875
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 747.77909375
transcript.pyannote[203].end 748.97721875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 749.11221875
transcript.pyannote[204].end 749.12909375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 749.12909375
transcript.pyannote[205].end 749.31471875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 749.31471875
transcript.pyannote[206].end 749.33159375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 749.33159375
transcript.pyannote[207].end 749.80409375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 749.92221875
transcript.pyannote[208].end 749.97284375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 749.97284375
transcript.pyannote[209].end 751.27221875
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 751.57596875
transcript.pyannote[210].end 753.41534375
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 754.25909375
transcript.pyannote[211].end 758.00534375
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 758.71409375
transcript.pyannote[212].end 759.42284375
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 760.31721875
transcript.pyannote[213].end 761.17784375
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 762.20721875
transcript.pyannote[214].end 763.86096875
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 763.92846875
transcript.pyannote[215].end 769.02471875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 769.02471875
transcript.pyannote[216].end 769.07534375
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 769.07534375
transcript.pyannote[217].end 769.26096875
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 769.26096875
transcript.pyannote[218].end 769.32846875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 770.18909375
transcript.pyannote[219].end 795.97409375
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 795.97409375
transcript.pyannote[220].end 806.74034375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 807.24659375
transcript.pyannote[221].end 809.60909375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 810.06471875
transcript.pyannote[222].end 812.03909375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 812.03909375
transcript.pyannote[223].end 813.40596875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 813.69284375
transcript.pyannote[224].end 813.96284375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 814.46909375
transcript.pyannote[225].end 824.96534375
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 824.96534375
transcript.pyannote[226].end 827.61471875
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 828.10409375
transcript.pyannote[227].end 837.52034375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 837.63846875
transcript.pyannote[228].end 867.40596875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 867.92909375
transcript.pyannote[229].end 869.09346875
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 870.24096875
transcript.pyannote[230].end 871.64159375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 871.79346875
transcript.pyannote[231].end 880.24784375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 880.46721875
transcript.pyannote[232].end 886.59284375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 886.94721875
transcript.pyannote[233].end 889.02284375
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 889.17471875
transcript.pyannote[234].end 892.71846875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 892.63409375
transcript.pyannote[235].end 893.32596875
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 893.22471875
transcript.pyannote[236].end 897.44346875
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 897.64596875
transcript.pyannote[237].end 898.06784375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 898.50659375
transcript.pyannote[238].end 902.05034375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 902.33721875
transcript.pyannote[239].end 905.03721875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 905.89784375
transcript.pyannote[240].end 914.74034375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 915.11159375
transcript.pyannote[241].end 921.30471875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 921.15284375
transcript.pyannote[242].end 932.17221875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 923.66721875
transcript.pyannote[243].end 923.80221875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 932.42534375
transcript.pyannote[244].end 932.89784375
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 933.16784375
transcript.pyannote[245].end 935.12534375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 935.32784375
transcript.pyannote[246].end 941.30159375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 941.40284375
transcript.pyannote[247].end 944.18721875
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 944.96346875
transcript.pyannote[248].end 949.08096875
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 949.60409375
transcript.pyannote[249].end 950.66721875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 950.53221875
transcript.pyannote[250].end 952.72596875
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 952.35471875
transcript.pyannote[251].end 962.69909375
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 954.04221875
transcript.pyannote[252].end 954.46409375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 963.18846875
transcript.pyannote[253].end 972.09846875
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 969.63471875
transcript.pyannote[254].end 978.27471875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 978.54471875
transcript.pyannote[255].end 979.97909375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 980.31659375
transcript.pyannote[256].end 995.09909375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 995.80784375
transcript.pyannote[257].end 1012.54784375
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 1014.80909375
transcript.pyannote[258].end 1026.50346875
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 1026.70596875
transcript.pyannote[259].end 1026.72284375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 1026.72284375
transcript.pyannote[260].end 1026.82409375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 1026.82409375
transcript.pyannote[261].end 1027.04346875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 1027.04346875
transcript.pyannote[262].end 1027.34721875
transcript.whisperx[0].start 1.469
transcript.whisperx[0].end 25.554
transcript.whisperx[0].text 麻煩請部長請部長部長早其實台灣軍購或者投資國防為什麼我們需要加大投資以及為什麼我們會有滿滿的困難我想長期在關心這個領域
transcript.whisperx[1].start 27.125
transcript.whisperx[1].end 51.31
transcript.whisperx[1].text 我們很多人在討論這個議題都忘記了前提是什麼我們沒事喜歡花一億兩億一千億去投資國防嗎是因為什麼我們面對威脅嘛那威脅我們的是誰全世界就一個國家宣稱以武力要欺負我們的國家全世界就他而中國的軍備增加狀況部長有沒有掌握
transcript.whisperx[2].start 52.966
transcript.whisperx[2].end 68.708
transcript.whisperx[2].text 我想他都會陸續以兩倍的這個軍匪增長的速度來增加表面的數據他還有黑數我光用他表面數據至少過去連續四年每年已超過7%的幅度成長今年達到史上最高8兆
transcript.whisperx[3].start 71.103
transcript.whisperx[3].end 94.276
transcript.whisperx[3].text 應該我講的是過去十年對 那我現在只算他的帳面上的我還沒有把他的武警 準軍事化還有黑術我沒有算進去我光從中國公布的數據到2025年 八兆習近平剛接任的時候2013年他們的帳面上的軍費支出是6300億人民幣
transcript.whisperx[4].start 97.694
transcript.whisperx[4].end 126.138
transcript.whisperx[4].text 到現在已經是一兆多所以中國是倍增的方式然後我們是他威脅的重中之重所以有人說台灣的國防預算太多了你怎麼不去跟老共講啊拿起棍棒打我們的是中國耶我們只不過想架起一個盾牌門上上個鎖家裡裝個保全讓自己的家人可以安心一點嫌我們做太多叫我們放下武器
transcript.whisperx[5].start 127.512
transcript.whisperx[5].end 154.485
transcript.whisperx[5].text 侵略者放下武器才有和平守衛者放下武器就滅國了那我在請教部長我們為什麼不到處比價來來來法國來跟我比一下價英國來跟我比一下價美國來比一下價我們買到便宜的交貨快的我們為什麼沒辦法這樣子像其他各國對外軍事採購一樣方便人家韓國為什麼可以買這一家的引擎要川普可以
transcript.whisperx[6].start 154.932
transcript.whisperx[6].end 179.625
transcript.whisperx[6].text 供應它核子燃料做潛艇我們為什麼不能你有答案啦這個答案是常識嘛我想應該委員大家都很清楚就是因為中國在全世界封鎖嘛原因也是因為中國嘛有人講台灣買舊東西貴東西當然那個時代已經過去了我們現在買幾乎都現衣裝備但我們軍事採購會這麼困難
transcript.whisperx[7].start 182.026
transcript.whisperx[7].end 205.595
transcript.whisperx[7].text 我們不是買方市場我們是賣方市場因為我們可以取得的現代化最新型的軍事裝備來源受限而受限的原因是任何國家跟台灣打交道中國就要制裁這個制裁那個這是原因啊你不把這兩個特殊的原因我們面對極大的威脅我們也面對極大的封鎖單純用好像在買賣一樣看我們面對軍購的困難對國軍不公平
transcript.whisperx[8].start 210.206
transcript.whisperx[8].end 237.702
transcript.whisperx[8].text 對我們負責採購的降臨也不公平我這樣講應該算持平吧所以我要接下來問的是幾個簡單的問題然後後來我們再討論一些項目為什麼沒辦法即時履約第一個問題是大家一直在講的我們台灣到底有沒有丟六千億放在美國那邊然後什麼都沒有拿到我們目前對美軍購已經付錢但是沒有拿到貨的到底是有沒有
transcript.whisperx[9].start 239.207
transcript.whisperx[9].end 263.696
transcript.whisperx[9].text 錢已經給了 但是我沒有拿到貨的我們目前所有的案項裡面從96年開始的I3新購跟I2性能提升到最後一個案子TPS拐拐拐巴總共加起來是300餘億美元這是我們軍購的總母數啦歷年來我們總共結匯了188億餘美元
transcript.whisperx[10].start 268.598
transcript.whisperx[10].end 271.561
transcript.whisperx[10].text 結會的意思就是付出去的結會應該是匯到美國匯到美國是放在我國帳戶還是放在美方帳戶有一些
transcript.whisperx[11].start 281.946
transcript.whisperx[11].end 307.316
transcript.whisperx[11].text 方委員這個部分會先進到他的FRB帳戶然後美方再依照他的產制期程從FRB帳戶提款到信託帳戶裡面但是我剛剛提的188億餘美元裡面有很多都已經實行完畢了包括1700多億你說這樣講這些數據會產生一個誤解就我看到你們的報告我理解的就是按照合約
transcript.whisperx[12].start 308.536
transcript.whisperx[12].end 317.943
transcript.whisperx[12].text 他拿錢沒有給我們的其實是沒有因為我們台灣沒有當運大頭啊我不會提早把錢放在那邊等你交貨嘛所以按照合約
transcript.whisperx[13].start 319.318
transcript.whisperx[13].end 342.544
transcript.whisperx[13].text 我們已經付錢但是他沒有一約交貨的目前其實是沒有但是有沒有延宕 有慢的有慢的部分就是說我按照合約你這個時候應該要做到哪裡了但是你還沒有達到所以我錢也不能讓你扣走嘛所以付錢不交貨 沒有但是時間到了該付錢你要交貨
transcript.whisperx[14].start 343.584
transcript.whisperx[14].end 371.943
transcript.whisperx[14].text 他沒有到我們沒有付錢但有延宕我這樣理解對不對好那我要問第二個目前按照期程的節點應該要達到這個目的但是他沒有達標所以我不付錢我看到你們報告大概就有三個項目結匯48億嘛美金嘛就這三個嘛所以我再把剛才整理一下讓國人釐清納稅人要聽懂我們在講什麼我們對美軍事採購這些重要的軍事裝備大概是300億美金
transcript.whisperx[15].start 373.724
transcript.whisperx[15].end 394.043
transcript.whisperx[15].text 但是300億美金不是我先付給他放在那裡等他交貨 沒有所以第一個命題有沒有付了錢但是沒拿到東西的是沒有這個情形但有沒有按照進度他該交東西了但是還沒有交所以我錢暫時hold住不付這個有 這個有多少呢有三大項目大概佔48億美金
transcript.whisperx[16].start 395.805
transcript.whisperx[16].end 424.946
transcript.whisperx[16].text 所以這個小結論是我們沒有當冤大頭說錢讓人家當ATM領錢了不付這個不交貨嘛回到我們面對重大的威脅回到我們在軍事採購上的困境動輒把全世界提供先進武器最重要的盟友去製造彼此的不信任去醜化他對我們台灣到底有沒有幫助我覺得國人要去思考所以回到這48億商業項目我請教部長
transcript.whisperx[17].start 426.121
transcript.whisperx[17].end 450.338
transcript.whisperx[17].text 我剛才把這個思路整理清楚 300億的美元的軍購案錢我們沒有 沒拿到或付錢 零而該一約給我們東西 還沒給 有延宕的有三樣 48億美金 但我錢不會付給他所以台灣並沒有當冤大頭 不會有付錢在那邊等東西 沒有這情形但現在有三個延宕 我們擔心影響戰力 第一個
transcript.whisperx[18].start 452.162
transcript.whisperx[18].end 478.602
transcript.whisperx[18].text 第一個就是AGM-1547AGM-1547呢原來美方其實長期我們軍方講要買這個其實相當時間了我還印象當時美方宣布同意出售的時候我們國防委員會剛好在考察嘉義聯隊那天聽到 我還聽到一個飛官說哇 這個終於賣了這一個現在原來規劃是今年到明年會全數交運嘛
transcript.whisperx[19].start 480.046
transcript.whisperx[19].end 507.165
transcript.whisperx[19].text 那你們現在寫了一些理由啦最新構型我們跟美軍是同型的嘛最新型的沒有買舊的買中古的吧包圍我們這一型比他還要再新一個世代我們是block 3所以我們拿的是美軍現役的是block 2我們現在買到的是最新型的block 3所以要重新產線啊備料啊等等所以呢慢了我第一個問題是現在慢的部分什麼時候可以履約
transcript.whisperx[20].start 508.988
transcript.whisperx[20].end 525.099
transcript.whisperx[20].text 包委員 剛剛您提到的106年同意公售之後其實我們一直還沒有完成預約因為我們的構型還有我們的F16V所以2017年那一次大概就是同意而已但還沒有雙方簽約就對了
transcript.whisperx[21].start 526.82
transcript.whisperx[21].end 555.731
transcript.whisperx[21].text 我們跟美軍他們有報價但是美軍他跟次合約商就是他的次合約商一直沒有辦法完成預約因為這個你們都有報告我們現在跑快一點這一個案子什麼時候美方的回覆什麼時候可以交往我們在這個月的記管會他們提到應該在這兩年就是在116年到117可以全數的交完所以等於是往後延了兩年到2028年是 我們剛剛的報告裡面也是提到116到117會全部交代
transcript.whisperx[22].start 556.471
transcript.whisperx[22].end 579.988
transcript.whisperx[22].text 2028年可以完全交運他有一個前提你現在寫的那些延宕的理由都解決了嗎目前產線都是逐漸恢復正常所以說美軍在這個月的報告告訴我們在116到117因為你寫要重啟產線什麼當時產線是因為COVID-19關了一堆還有俄烏戰爭俄烏戰爭排序優先數據改變這些因素都解決了沒如果他沒有解決你怎麼能確認20182028可以交貨
transcript.whisperx[23].start 582.21
transcript.whisperx[23].end 602.622
transcript.whisperx[23].text 是 這些都是美軍他跟次合約商評估完目前我們準備要跟他完成預約那廠商提供的這個時程表好 我們下一個項目F16V大家最關注的當時是用了特別預算來採購嘛那原定的時程是2023年開始交第一架機
transcript.whisperx[24].start 603.763
transcript.whisperx[24].end 621.698
transcript.whisperx[24].text 然後到2026年全部要交到我們台灣那目前延宕我知道這是F16VK說等於是一個全新的機種了因為全新的機種它很多次系統要整合要測試所以當然會有一些困難就像一個全新的一個飛機一樣那
transcript.whisperx[25].start 623.922
transcript.whisperx[25].end 641.352
transcript.whisperx[25].text 第一個問題一樣目前你們預計今年會不會交機數量我先不問今年來不及交機今年沒辦法來不及交機那一些因為測試或者因為供應鏈中斷這些原因這些因素到底是否已經排除
transcript.whisperx[26].start 642.279
transcript.whisperx[26].end 657.098
transcript.whisperx[26].text 目前都已經逐漸在排除當中最主要的原因現在是在工程整合上面的問題像缺工缺料的部分這個我們也一再跟美軍做一個我簡單分享我們在生產管理上第一塊叫做技術問題嘛技術問題已經處理好了
transcript.whisperx[27].start 660.743
transcript.whisperx[27].end 675.615
transcript.whisperx[27].text 那第二個就是生產的排成啊作業流程啊現在是這一塊要把它更有效率嘛是 排成的這個部分已經在已經都回到原來的這個趕工的那所以我們可不可以講F16V原來遇到延宕的因素
transcript.whisperx[28].start 676.235
transcript.whisperx[28].end 694.631
transcript.whisperx[28].text 已經解決因為你用逐漸解決我就不曉得是在解決跟還沒解決之間在遊蕩嘛就我了解應該是在最後的這個測試飛行的這個部分要能夠順利所以他現在整合裝好之後要上去做測評嘛測試飛行完成生產線就開始生產
transcript.whisperx[29].start 695.411
transcript.whisperx[29].end 719.21
transcript.whisperx[29].text 生產線也同時在生產當中我們剛講的年底前應該可以組裝十架完成那現在就是再進一步再做一個測試配線年底組裝完成未必來得及交機因為還要做一個測試配線所以我剛才聽你們講是今年的交機可能不樂觀那你們預劃最後會完整交機的時間是什麼時候
transcript.whisperx[30].start 721.553
transcript.whisperx[30].end 729.357
transcript.whisperx[30].text 我們現在沒有辦法畫出一個明確的時間點但是我們能夠講的就是說整個生產線在線組裝總共有50架
transcript.whisperx[31].start 731.906
transcript.whisperx[31].end 760.975
transcript.whisperx[31].text 我那天看你們報告20小時加班同時50下組裝嘛所以他很有可能一個結果就是以前我們是3架5架慢慢交他可能會一次交一大批嘛如果測試順利的話我想就會有一個比較大的數量他這樣子的騎乘會影響到我們一件事情我們通常我們的人員的編裝啦培育啦會跟著交機騎乘這樣順順的來他現在慢了突然間給你一堆
transcript.whisperx[32].start 762.29
transcript.whisperx[32].end 768.989
transcript.whisperx[32].text 我們的飛行員跟後勤整個人的部分會不會有影響
transcript.whisperx[33].start 770.213
transcript.whisperx[33].end 795.529
transcript.whisperx[33].text 老師各位報告這個部分我們在早在兩年前就已經開始做整體的規劃所以說人的補充的部分還有調配的部分因為我們希望能夠盡快形成戰力您剛提的這個也是我們很關注的一個焦點很快的形成戰力就是把現有的F16 block兩棟的飛行員已經也提升到16V所以說這個人員的調配我們讓盡快能夠讓他一次能夠到位我剛講的問題就是說
transcript.whisperx[34].start 796.73
transcript.whisperx[34].end 812.882
transcript.whisperx[34].text 原來我們規劃是 你逐漸交機 我們的人逐漸跟上嘛這樣訓練的時程 量能才會夠可是如果交機慢 團隊大量給你那我們也不可能訓練一批人在那邊坐著等啊那這一個部分的調配 你們怎麼處理
transcript.whisperx[35].start 814.523
transcript.whisperx[35].end 837.168
transcript.whisperx[35].text 他即使是大量也不會說大量到我們沒辦法去負荷因為我們的人在明年1月1號三個作戰隊的人員都編程對 有關這個人員的部分我順帶給部長提醒一下我們陸軍的A機 AH-1 OH-58你也知道很多因為那個飛機要慢慢陸續要淘汰了OH-58D要淘汰了
transcript.whisperx[36].start 838.188
transcript.whisperx[36].end 866.999
transcript.whisperx[36].text A機你們就延後啦我只是提醒飛行員的訓練不容易是國家重要資產那如果輕易的因為裝備沒有跟上就讓飛行員離開現場這個對將來如果有新的飛機的話我們在籌貨人的話其實會我覺得會有點可惜這些都是國家優秀的資產人跟裝備我認為人還更重要所以這些飛行官不要動輒就是大量的讓他移走或者移去飛無人機
transcript.whisperx[37].start 868.66
transcript.whisperx[37].end 881.608
transcript.whisperx[37].text 飛官飛官去飛無人機在尊嚴上跟待遇上他們不會接受的我最後請教我最後一分鐘請教第三個項目延宕的是這個Mk48我們Mk48呢這一個我們買到是
transcript.whisperx[38].start 887.071
transcript.whisperx[38].end 904.702
transcript.whisperx[38].text 那個Mod 6還是Mod 7 應該是6的嘛 第六型的嘛因為第七型是美軍最新的 我們是用現役的那本來是26年 也就是明年要完成交運那現在呢 延後到什麼時候可以交貨
transcript.whisperx[39].start 906.333
transcript.whisperx[39].end 934.459
transcript.whisperx[39].text 跟委員報告那因為美國要能夠強化這個產線跟供應他已經重新的產線跟能量跟預算都投入進去那預計是在會在這個115年他會開始有陸續來做一個也就明年開始會陸續交貨那因為原來是2023到2026嘛那如果明年才陸續交貨我可不可以假設你們交貨時程一樣要往後順延所以最後的節點的時間會什麼時候
transcript.whisperx[40].start 935.613
transcript.whisperx[40].end 962.575
transcript.whisperx[40].text 最後面的節點時間應該會在這個117年到118年做最後結案美方有沒有什麼替代方案他先把現役的先借我們用因為有潛艦沒有重型魚雷這個是開玩笑啊這個也列入他們一個替代方案讓我們的戰力先補時嘛那將來交貨的時候再還給他因為是他慢的不是我們慢的因為這個項目會慢看起來好像是美國海軍部自己的問題還不見得是外面承包商喔
transcript.whisperx[41].start 963.654
transcript.whisperx[41].end 979.809
transcript.whisperx[41].text 都有但是主要是因為承包商的供應當初的那個量沒有需求量沒有辦法預估到這個時間關係我是建議國防部好有關這個因為納稅人的錢我們對美軍購我們當然希望如期如質交付但那個所有的
transcript.whisperx[42].start 980.43
transcript.whisperx[42].end 994.538
transcript.whisperx[42].text 有一些在惡意的公結 有的是好像顯龍國防部都沒有在管錢或者讓台美之間的信任產生裂痕 這個沒有必要講對了我們改正 講錯了要提出來我們根本沒有付錢放在那邊等貨
transcript.whisperx[43].start 995.865
transcript.whisperx[43].end 1012.287
transcript.whisperx[43].text 我們是按照節點付錢你慢我們錢就不給你台灣不肯當冤大頭而台灣軍事採購面對中國這麼大的威脅以及全球的封鎖我們的採購真的有它的困難在這困難下如果輕率的去說出國防預算太多不需要國防預算
transcript.whisperx[44].start 1014.844
transcript.whisperx[44].end 1025.549
transcript.whisperx[44].text 除了對不起國軍長期的努力以外是把2300萬人的安全放在什麼地方我們的安全不能靠解放軍的慈悲我們的安全要靠自己的努力還有國際的氛圍 謝謝部長