Subjective and Objective Analysis of Schedule Delaying Factors for Container Shipping Lines
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The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.
Abstract
The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.
참고문헌 (40)
- Noorul Shaiful Fitri ABDUL RAHMAN, "Evaluation of Delay Factors on Dry Bulk Cargo Operation in Malaysia: A Case Study of Kemaman Port", The Asian Journal of Shipping and Logistics, 35(3), pp.127~137 (2019), 한국해운물류학회
- Brooks, M. R., "Ocean carrier selection criteria in a new environment", Logistics and Transportation Review, 26, pp.339~355 (1990)
- Chan, L. K., "A systematic approach to quality function deployment with a full illustrative example", Omega, 33, pp.119~139 (2005)
- Chao, R. J., "Evaluation of the criteria and effectiveness of distance e-learning with consistent fuzzy preference relations", Expert Systems with Applications, 36, pp.10657~10662 (2009)
- Chen, J., "Identifying critical factors of oil spill in the tanker shipping industry worldwide", Journal of Cleaner Production, 180, pp.1~10 (2018)
- Chen, J., "Identification of key factors of ship detention under port state control", Marine Policy, 102, pp.21~27 (2019)
- Chung, C. C., "Critical factors in schedule reliability of container shipping carriers", Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics (2011)
- Ding, J. F., "An integrated fuzzy TOPSIS method for ranking alternatives and its application", Journal of Marine Science and Technology, 19, pp.341~352 (2011)
- Herrera-Viedma, E., "Some issues on consistency of fuzzy preference relations", European Journal of Operational Research, 154, pp.98~109 (2004)
- Hoffmann, P., "Port Management Textbook Containerization" (1985)
- Hsiao, S. W., "A Gestalt-like perceptual measure for home page design using a fuzzy entropy approach", International Journal of Human-Computer Studies, 64, pp.137~156 (2006)
- Jee, D. H., "A method for optimal material selection aided with decision making theory", Materials and Design, 21, pp.199~206 (2000)
- Kaliszewski, A., "Key factors of container port competitiveness: A global shipping lines perspective", Marine Policy, 117, pp.103896~ (2020)
- Kristiansen, S., "Maritime Transportation: Safety Management and Risk Analysis" (2005), Elsevier Butterworth-Heinemann
- Lee, P. T. W., "Comparison analysis for subjective and objective weights of financial positions of container shipping companies", Maritime Policy and Management, 41, pp.241~250 (2014)
- Lee, P. T. W., "Financial performance evaluation of shipping companies using entropy and grey relation analysis", International Series in Operations Research and Management Science, 260, pp.219~247 (2018)
- Sung-Woo Lee, "Short Sea Shipping on the West Coast of Korea: Keys to Activating the Shipping Industry in Preparation for Korea Unification Era", Journal of International Logistics and Trade, 18(2), pp.91~105 (2020), 정석물류통상연구원
- Li, Q., "Risk assessment of floor water inrush using entropy weight and variation coefficient model", Geotechnical and Geological Engineering, 37, pp.1493~1501 (2019)
- Li, X., "Application of the entropy weight and TOPSIS method in safety evaluation of coal mines", Procedia Engineering, 26, pp.2085~2091 (2011)
- Hong Lin, "Comprehensive evaluation of urban air quality using the relative entropy theory and improved TOPSIS method", Air Quality, Atmosphere & Health, 14(2), pp.251~258 (2021), Springer Science and Business Media LLC[DOI]
- Liu, F., "Fire risk assessment for large-scale commercial buildings based on structure entropy weight method", Safety Science, 94, pp.26~40 (2017)
- Liu, L., "Using fuzzy theory and information entropy for water quality assessment in Three Gorges region, China", Expert Systems with Applications, 37, pp.2517~2521 (2010)
- Ma, J., "A subjective and objective integrated approach to determine attribute weights", European Journal of Operational Research, 112, pp.397~404 (1999)
- McGinnis, M. A., "Shipper attitudes toward freight transportation choice: A factor analytic study", International Journal of Physical Distribution and Materials Management, 10, pp.25~34 (1979)
- Murphy, P. R., "Analyzing International water transportation: The perspectives of large U.S. industrial corporations", Journal of Business Logistics, 12, pp.169~189 (1991)
- Notteboom, T. E., "The time factor in liner Shipping Services", Maritime Economic and Logistics, 8, pp.19~39 (2006)
- Pham, T. Y., "Evaluation of transshipment container terminals’ service quality in Vietnam: From the shipping companies’ perspective", Sustainability, 11, pp.1503~ (2019)
- Plumlee, C. H., "Port Performance Index" (1979), Public Works Consultants
- 서우석, "A Case Study on Logistics Services Preferences for Supply Chain Entities in Shandong Province, China", Journal of International Logistics and Trade, 17(2), pp.55~66 (2019), 정석물류통상연구원[DOI]
- Shannon, C. E., "A mathematical theory of communication", The Bell System Technical Journal, 27, pp.379~423 (1948)
- Slack, B., "Containerization, Inter-port competition, and port selection", Maritime Policy and Management, 1, pp.293~303 (1985)
- Suthiwartnarueput, K., "A trial to generalise evaluation of key driving factors of port-city waterfront development", International Journal of Shipping and Transport Logistics, 12, pp.174~196 (2020)
- Operations Planning in Ports, "Thomas, B. J.", University of Wales Institute of Science and Technology, ~ (1985)
- Vernimmen, B., "Schedule unreliability in liner shipping: Origins and consequences for the hinterland supply chain", Maritime Economics and Logistics, 9, pp.193~213 (2007)
- Wang, T. C., "Applying consistent fuzzy preference relations to partnership selection", Omega, 35, pp.384~388 (2007)
- Weng, J., "Investigation of occurrence likelihood of human errors in shipping operations", Ocean Engineering, 182, pp.28~37 (2019)
- Xu, X., "A note on the subjective and objective integrated approach to determine attribute weights", European Journal of Operational Research, 156, pp.530~532 (2004)
- Yang, C. C., "Crucial factors influencing international logistics operations for African landlocked countries:A case study of Burkina Faso", Maritime Policy and Management, 46, pp.939~956 (2019)
- Zhang, Y., "Analyses of urban ecosystem based on information entropy", Ecological Modeling, 197, pp.1~12 (2006)
- Zou, Z. H., "Entropy method for determination of weight of evaluating in fuzzy synthetic evaluating for water quality assessment indicators", Journal of Environmental Science, 18, pp.1020~1023 (2006)