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    Terminal Vitalization Strategy through Optimal Route Selection Adopting CFPR Methodology

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    https://www.riss.kr/link?id=A106416505

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Container shipping route selection strategy has become an important component in attracting additional cargo volumes and increasing terminal competitiveness of small and medium ports (SMPs). Shipping route selection relies upon decisions based on real industry data and expert judgments. There is scant research that places emphasis on container shipping route selection as a vital aspect of SMPs. This paper bridges the gap by utilizing Consistent Fuzzy Preference Relations (CFPR) methodology, which handles both qualitative and quantitative factors in order to select optimal routes for SMPs. Donghae port, which is located on the east coast of South Korea, is analyzed as a case study. The results illustrate that volume commitment ranks first among the 19 established selection factors, followed by incentive system risk and head-haul ratio. This study also reveals that Donghae-Hochiminh is the optimal route for the Donghae port, while the container shipping route of Donghae-Port Kelang is ranked in the middle, and Donghae-Jakarta is considered to be the least optimal route amongst the three alternatives.
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    Container shipping route selection strategy has become an important component in attracting additional cargo volumes and increasing terminal competitiveness of small and medium ports (SMPs). Shipping route selection relies upon decisions based on real...

    Container shipping route selection strategy has become an important component in attracting additional cargo volumes and increasing terminal competitiveness of small and medium ports (SMPs). Shipping route selection relies upon decisions based on real industry data and expert judgments. There is scant research that places emphasis on container shipping route selection as a vital aspect of SMPs. This paper bridges the gap by utilizing Consistent Fuzzy Preference Relations (CFPR) methodology, which handles both qualitative and quantitative factors in order to select optimal routes for SMPs. Donghae port, which is located on the east coast of South Korea, is analyzed as a case study. The results illustrate that volume commitment ranks first among the 19 established selection factors, followed by incentive system risk and head-haul ratio. This study also reveals that Donghae-Hochiminh is the optimal route for the Donghae port, while the container shipping route of Donghae-Port Kelang is ranked in the middle, and Donghae-Jakarta is considered to be the least optimal route amongst the three alternatives.

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    참고문헌 (Reference)

    1 Kambe, N., "U.S. Patent"

    2 Liu, M., "The potential economic viability of using the Northern Sea Route(NSR)as an alternative route between Asia and Europe" 18 (18): 434-444, 2010

    3 Jeevan, J., "The implications of the growth of port throughput on the port capacity : the case of Malaysian major container seaports" 3 : 84-98, 2015

    4 Kengpol, A., "The development of a framework for route selection in multimodal transportation" 25 (25): 581-610, 2014

    5 Raza, Z., "The commercial potential for LNG shipping between Europe and Asia via the Northern Sea Route" 11 (11): 67-79, 2014

    6 Carbone, V, "The changing role of ports in supplychain management : An empirical analysis" 30 (30): 305-320, 2003

    7 Zi-Yao DING, "The Relative Efficiency of Container Terminals in Small and Medium-Sized Ports in China" 한국해운물류학회 31 (31): 231-251, 2015

    8 Herrera-Viedma, E., "Some issues on consistency of fuzzy preference relations" 154 (154): 98-109, 2002

    9 Ting, S. C., "Ship scheduling and cost analysis for route planning in liner shipping" 5 (5): 378-392, 2003

    10 Wang, J., "Route selection of container trucks in container terminal [J]" 2 : 8-, 2011

    1 Kambe, N., "U.S. Patent"

    2 Liu, M., "The potential economic viability of using the Northern Sea Route(NSR)as an alternative route between Asia and Europe" 18 (18): 434-444, 2010

    3 Jeevan, J., "The implications of the growth of port throughput on the port capacity : the case of Malaysian major container seaports" 3 : 84-98, 2015

    4 Kengpol, A., "The development of a framework for route selection in multimodal transportation" 25 (25): 581-610, 2014

    5 Raza, Z., "The commercial potential for LNG shipping between Europe and Asia via the Northern Sea Route" 11 (11): 67-79, 2014

    6 Carbone, V, "The changing role of ports in supplychain management : An empirical analysis" 30 (30): 305-320, 2003

    7 Zi-Yao DING, "The Relative Efficiency of Container Terminals in Small and Medium-Sized Ports in China" 한국해운물류학회 31 (31): 231-251, 2015

    8 Herrera-Viedma, E., "Some issues on consistency of fuzzy preference relations" 154 (154): 98-109, 2002

    9 Ting, S. C., "Ship scheduling and cost analysis for route planning in liner shipping" 5 (5): 378-392, 2003

    10 Wang, J., "Route selection of container trucks in container terminal [J]" 2 : 8-, 2011

    11 Feng, L., "Peripheral challenge by small and medium sized ports(SMPs)in multi-port gateway regions : The case study of northeast of China" 20 : 55-66, 2013

    12 Vujić, M., "Multimodal route planners in maritime environment" 29 (29): 1-7, 2015

    13 Rodrigue, J. P., "Maritime transportation: drivers for the shipping and port industries" 2010

    14 Micco, A., "Maritime transport costs and port efficiency" Inter-American Development Bank 2001

    15 Psaraftis, H. N., "Green transportation logistics" 299-349, 2016

    16 Chao, R. J., "Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations" 36 (36): 10657-10662, 2009

    17 Krile, S., "Efficient heuristic for non-linear transportation problem on the route with multiple ports" 20 (20): 80-86, 2013

    18 Feng, L., "Current issues in shipping, ports and logistics" 543-563, 2011

    19 Balakrishnan, A., "Container shipping service selection and cargo routing with transshipment limits" 263 (263): 652-663, 2017

    20 Tran, N. K., "Container shipping route design incorporating the costs of shipping, inland/feeder transport, inventory and CO2 emission" 19 (19): 667-694, 2017

    21 Cabral, A. M. R., "Cluster analysis of the competitiveness of container ports in Brazil" 69 : 423-431, 2014

    22 Wang, T. C., "Applying the consistent fuzzy preference relations to select merger strategy for commercial banks in new financial environments" 36 (36): 7019-7026, 2009

    23 Sheffi, Y., "A transportation network evacuation model" 16 (16): 209-218, 1982

    24 Chang, T. H., "A proposed model for measuring the aggregative risk degree of implementing an RFID digital campus system with the consistent fuzzy preference relations" 37 (37): 2605-2622, 2013

    25 Huynh, N., "A new planning model to support logistics service providers in selecting mode, route, and terminal location" 20 : 67-73, 2013

    26 Qu, L., "A hybrid MCDM method for route selection of multimodal transportation network" 374-383, 2008

    27 Viet Linh DANG, "A Competitive Strategic Position Analysis of Major Container Ports in Southeast Asia" 한국해운물류학회 33 (33): 19-25, 2017

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    연월일 이력구분 이력상세 등재구분
    2024 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
    2021-01-01 등재 등재학술지 선정 (해외등재 학술지 평가) KCI등재
    2020-12-01 등재 등재후보로 하락 (해외등재 학술지 평가) KCI등재후보
    2010-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2009-06-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2009-06-01 등재 학술지 분리 (기타)
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