OPTIMIZE PERFORMANCE DIMENSION FOR BERTHING ARRANGEMENT IN THAILAND MAIN PORT MODEL

Main Article Content

Ronnakrit Settadalee
Tanan Kuntasa
Nitsakarn Piyanit
Kittisak Makkawan

บทคัดย่อ

Shipping ports are a vital component of the import-export economy, including the value-added utility of space at ports. This study applies the optimize performance dimension for berthing arrangement in Thailand main port model. To analyses the structural relationship between the loading factors and berthing arrangements of latent variables including ships, ship owners and shipping lines, the government sector, and customers, by 16 indicators of TEN SEM fit indexes for sample size as well as 160 samples. This study uses 190 samples for path analysis, structural equation modeling, and 2 validity tests (convergent validity and discriminant validity) were utilized. Moreover, loading validity and reliability loading were examined using Cronbach’s Alpha of the ADANCO Program. The results revealed not only the effects of internal matters from terminal operators, but also from customers (0.439), the government sector (0.329), ships, ship owners and shipping lines (0.146). Latent variables were found to have directly affected berthing. In addition, the indicator results displayed priority guidelines for solutions to berthing problems as well as optimizing berthing performance.

Article Details

บท
บทความวิจัย

References

Akintunde, A. (2012). Path Analysis Step by Step Using Excel. Journal of Technical Science and Technologies, 1(1), 9-15.

Alvarez, J. F., Longva, T., & Engebrethsen, E. S. (2010). A Methodology to Assess Vessel Berthing and Speed Optimization Policies. Maritime Economics & Logistics, 12(4), 327-346.

Bagozzi, R. P. & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-94.

Bedeian, A. G. & Armenakis, A. A. (1981). A Path-Analytic Study of The Consequences of Role Conflict and Ambiguity. Academy of Management Journal, 24(2), 417-424.

Beresford, A. K. C., Gardner, B. M., Pettit, S. J., Naniopoulos, A., & Wooldridge, C. F. (2004). The UNCTAD and WORKPORT Models of Port Development: Evolution or Revolution? Maritime Policy & Management, 31(2), 93-107.

Cohen, J. (1992). Statistical Power Analysis. Current Directions in Psychological Science, 1(3), 98-101.

Cullinane, K., Fei, W. T., & Cullinane, S. (2004). Container Terminal Development in Mainland China and Its Impact on the Competitiveness of the Port of Hong Kong. Transport Reviews, 24(1), 33-56.

Cullinane, K. & Song, D.-W. (2002). Port Privatization Policy and Practice. Transport Reviews, 22(1), 55-75.

Debnath, A. K., Chin, H. C., & Haque, M. M. (2011). Modelling Port Water Collision Risk Using Traffic Conflicts. The Journal of Navigation, 64(4), 645-655.

Fan, X., Thompson, B., & Wang, L. (1999). Effects of Sample Size, Estimation Methods, and Model Specification on Structural Equation Modeling Fit Indexes. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 56-83.

Fornell, C. & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variable and Measurement Error: Algebra and Statistics (Research Report). Ann Arbor, MI: The University of Michigan.

Frémont, A. (2010). Empirical Evidence for Integration and Disintegration of Maritime Shipping, Port, and Logistics Activities (Research Report). Paris: Organization for Economic Co-Operation and Development.

Gambardella, L. M. & Rizzoli, A. E. (2000). The Role of Simulation and Optimization in Intermodal Container Terminals. European Simulation Symposium, (9), 107-116.

Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4(1), 7.

Hair, J. F., Black, W. C., Basin, B. J., Anderson, R. E., & Tatham, R. (2010). Multivariate Data Analysis: Upper Saddle River, New Jersey: Pearson Education.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 116(1), 2-20.

Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. Electronic Journal of Business Research Methods, 6(1), 53-60.

Hsu. W. K. K. (2015). Assessing the Safety Factors of Ship Berthing Operations. The Journal of Navigation, 68(3), 576-588.

Hulland, J. (1999). Use of Partial Least Squares (PLS) in Strategic Management Research: A Review of Four Recent Studies. Strategic Management Journal, 20(2), 195-204.

Imai, A., Sasaki, K., Nishimura, E., & Papadimitriou, S. (2006). Multi-objective Simultaneous Stowage and Load Planning for a Container Ship with Container Rehandle in Yard Stacks. European Journal of Operational Research, 171(2), 373-389.

Marlow, P. B. & Casaca, A. C. P. (2003). Measuring Lean Ports Performance. International Journal of Transport Management, 1(4), 189-202.

Martin Jr, G. L., Randhawa, S. U., & McDowell, E. D. (1988). Computerized Container-Ship Load Planning: A Methodology and Evaluation. Computers & Industrial Engineering, 14(4), 429-440.

Meijer, R. (2017). ETA prediction: Predicting the ETA of a Container Vessel Based on Route Identification Using AIS Data. Master’s Thesis, Delft University of Technology.

Podesta, S. (1979). U.S. Patent No. 4,158,416. Washington, DC: U.S. Patent and Trademark Office.

Port Authority of Thailand. (2018). The Annually Statistic Report in 2018. Retrieved August 15, 2019, from http://www.port.co.th/cs/internet/internet/%E0%B8%AA%E0%B8%96%E0%B8%B4%E0%B8%95%E0%B8%B4%E0%B8%A3%E0%B8%B2%E0%B8%A2%E0%B8%9B%E0%B8%B5.html?page_locale=en_US

Salido, M. A., Rodriguez-Molins, M., & Barber, F. (2011). Integrated Intelligent Techniques for Remarshaling and Berthing in Maritime Terminals. Advanced Engineering Informatics, 25(3), 435-451.

Song, D.-W. & Panayides, P. M. (2008). Global Supply Chain and Port/Terminal: Integration and Competitiveness. Maritime Policy & Management, 35(1), 73-87.

Thai, V. V. (2008). Service Quality in Maritime Transport: Conceptual Model and Empirical Evidence. Asia Pacific Journal of Marketing and Logistics, 20(4), 493-518.

Vinitkamtorn, P. (2010). Operators’ Competency in Dangerous Goods Cargo Management through Seaport. Master’s Thesis, Chulalongkorn University. [in Thai]

Walda, F. (1970). U.S. Patent No. 3,550,796. Washington, DC: U.S. Patent and Trademark Office.

Wilson, I. D. & Roach, P. A. (1999). Principles of Combinatorial Optimization Applied to Container-Ship Stowage Planning. Journal of Heuristics, 5(4), 403-418.

Xu, Y., Chen, Q., & Quan, X. (2012). Robust Berth Scheduling with Uncertain Vessel Delay and Handling Time. Annals of Operations Research, 192(1), 123-140.

Yeo, G. T., Thai, V. V., & Roh, S. Y. (2015). An Analysis of Port Service Quality and Customer Satisfaction: The Case of Korean Container Ports. The Asian Journal of Shipping and Logistics, 31(4), 437-447.

Zhao, Y., Yang, Z., & Haralambides, H. (2019). Optimizing the Transport of Export Containers Along China’s Coronary Artery: The Yangtze River. Journal of Transport Geography, 77, 11-25.