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SIMULATION The study for efficiency of the Inland Container Transportation Data analysis & system modeling Hee-jin Lee, Sang-oh Kang, Jae-young Park, Hoon.

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Presentation on theme: "SIMULATION The study for efficiency of the Inland Container Transportation Data analysis & system modeling Hee-jin Lee, Sang-oh Kang, Jae-young Park, Hoon."— Presentation transcript:

1 SIMULATION The study for efficiency of the Inland Container Transportation Data analysis & system modeling Hee-jin Lee, Sang-oh Kang, Jae-young Park, Hoon Lee 29 th November, 2006

2 SIMULATION Contents 1.Data analysis 2. System modeling 3. Further development

3 SIMULATION Data analysis - Data support : ㈜ chun-il I&C - Data collect : Pusan (Yum-Goong CY, Kam-man terminal, pier 5) - The Number of Orders : 11,069 orders/month - The Term of Orders : 1 ~ 31 July, 2006 Container Transportation Order Data modification - 20ft container  40ft container - Every sub-customers are unified by 8 area - Except town transportation and rail transportation

4 SIMULATION Data analysis 서울 / 경기 강원 충남 충북 전북 전남 경북 경남 부산 - Unification of sub-customer - Order Data is divided 8 kinds of area

5 SIMULATION Data analysis Received Date Import / Export Container Type Container Size Full / Empty Request Time Road / Rail Area Group Long / Local Round / Singe 20060701IHC40F90013LG1 20060701IDC40F120012LG1 20060701IHC40F90013LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 20060701IHC40F016LG1 20060701IHC40F016LG1 20060701IHC40F016LG1 20060701IDC20F80012LG1 20060701IDC20F90012LG1 20060701IHC40F90013LG1 20060701IRF40F90016LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 20060701IDC40F016LG1 Container Transportation Order

6 SIMULATION Data analysis (order ratio) Total Order %AreaA‘s order%R/Sorder%Order.typeorder% 11,06988% Kyung- nam(2) 224120%Round202790%import91845% export110955% single21410%import9143% export11051% C.delivery73% C.pickup63% Kyung- buk(3) 214919%Round172280%import49929% export122371% Single42720%import5012% export12329% C.delivery12730% C.pickup12730% Jun-nam(4)1942%Round16987%import12473% export4527% Single2513%import1352% export416% C.delivery312% C.pickup520%

7 SIMULATION Data analysis Requirement time (Kyung-nam & Kyung-buk case)

8 SIMULATION Data analysis Busan Kyoung Nam-Do Kyoung Buk-Do Jeon-La Nam-Do Jeon-La Buk-Do Chung Nam-Do Chung Buk-Do Kang-Won Do Seoul & Kyoung-Gi Busan 61.37 Km 52 ‘’ 190.29 Km 2138 ‘’ 211.89 Km 3’ 9’’ 250.49 Km 3’ 44’’ 366.22 Km 5’ 14’’ 265.94 Km 3’ 27’’ 450 Km 6’ 14’’ 391 Km 5’ 4’’ Kyoung-Sang Nam-Do 133.23 Km 1’ 60‘’ 174.7 Km 2’ 43’’ 213.32 Km 3’ 18’’ 289.16 Km 4’ 36’’ 208.8 Km 2’ 49’’ 393 Km 5’ 36’’ 334.21 Km 4’ 26’’ Kyoung-Sang Buk-Do 276.8 Km 3’ 54’’ 252.36 Km 3’ 47’’ 229 Km 4’ 7’’ 116.76 Km 2’ 14’’ 286.86 Km 4’ 18’’ 271.65 Km 3’ 39’’ Jeon-La Nam-Do 137.32 Km 2’ 7’’ 218.97 Km 3’ 23’’ 289.5 Km 4’ 8’’ 456.5 Km 6’ 19’’ 300.8 Km 3’ 59’’ Jeon-La Buk-Do 130.28 Km 2’ 27’’ 201.4 Km 3’ 12’’ 368.43 Km 5’ 23’’ 212.74 Km 3’ 3’’ Chung-Cheong Nam-Do 137.17 Km 2’ 59’’ 300.94 Km 4’ 57’’ 115.96 Km 2’ 14’’ Chung-Cheong Buk-Do 218.13 Km 3’ 26’’ 134.61 Km 1’ 55 Kang-Won Do 193.13 Km 3’ 5’’ Seoul & Kyoung-Gi-Do. Transportation Distance & Time

9 SIMULATION System modeling ( original -> proposal ) ImportEmpty Export BusanKyoung-NamBusan Kyoung-BukBusan Chung-BukBusan Kyoung-NamBusan ImportEmpty BusanKyoung-NamKyoung-Buk Chung-BukKyoung-Nam Busan Empty

10 SIMULATION System Description General model for system

11 SIMULATION System Description Sub-model (transporting each area’s order)

12 SIMULATION System Description Sub-model (movement of each vehicle)

13 SIMULATION Further developing  Completing the model  Adding the animation (by adding station, route, etc)  Comparing the result = existing operating method & developing method  Comparing the result = Company’s charge (return) - [Customer’s Fare (from busan to destination) + Company’s charge (return)]*10%

14 SIMULATION


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