Technical Papers
Jun 17, 2024

A Simulation Model for Container Ships Scheduling in Qinzhou Port under Seamless Connection Mode

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 3

Abstract

Qinzhou Port in China is witnessing a continuous increase in visiting ships, especially container ships. This results in the increase of ship waiting time, and enhancing the handling efficiency for container ships becomes urgent. Motivated by the existing research on ship scheduling using simulation technologies, the objective of this study is performing a quantitative evaluation on the effectiveness of the novel scheduling approach for container ships. Qinzhou Port Authority is considering using the seamless-connection scheduling mode. A simulation model is constructed on the whole process of container ships arriving at and leaving the port under the existing and seamless-connection modes, which can support managers in making decisions. The results indicate that the seamless-connection scheduling mode can reduce the average wait time from 5.6 to 3.3 h in the present situation. Moreover, the upper bound of the berth occupation rate can be enhanced from around 85% to 92% by seamless-connection mode compared with the existing scheduling mode, and the average wait time can be restrained within the acceptable level. Although the seamless-connection mode needs more investment to guarantee safety, the results are valuable for port authorities to make a cost-benefit evaluation in the future.

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Data Availability Statement

Some data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. These include the following items: the traffic simulation model constructed in Section “The simulation model construction” and the simulation experimental result data in Section “Simulations and discussions.”

Acknowledgments

The research was supported by Fund of Guangxi Science and Technology Program (AB23026132), National Natural Science Foundation of China (51920105014 and 52071247), Hubei Key Laboratory of Inland Shipping Technology (202202), Innovation and Entrepreneurship Team Import Project of Shaoguan City (201212176230928), and the Fundamental Research Funds for the Central Universities (WUT: 223144002 and 2023IVB079).

References

Beibu Gulf Port. 2021. “Qinzhou port automated container terminal completed renovation.” Accessed September 7, 2021. https://www.bbwport.cn/a/xinwenzixun/gongsixinwen/938.html.
Camci, F., F. Eldemir, O. Uysal, and I. Ustun. 2009. “Istanbul strait marine traffic simulation using multiple serially connected machinery concept.” In Proc., 2009 Summer Computer Simulation Conf. (SCSC’09), 424–429. Vista, CA: Society for Modeling and Simulation International.
Chang, D. F., X. N. Hu, and Z. C. Bian. 2012. “A research on port tug dynamic scheduling model and algorithm.” Adv. Mater. Res. 524–527 (Sep): 832–835. https://doi.org/10.4028/www.scientific.net/AMR.524-527.832.
Chen, R., Q. Meng, and P. Jia. 2022. “Container port drayage operations and management: Past and future.” Transp. Res. Part E: Logist. Transp. Rev. 159 (Mar): 102633. https://doi.org/10.1016/j.tre.2022.102633.
Dagkinis, I., and N. Nikitakos. 2016. “TOPSIS method implementation on slow steaming alternatives evaluation.” In Proc., 3rd Int. Conf. on Maritime Technology and Engineering Maritime Technology and Engineering III. London: CRC Press.
Duan, J. G., L. Z. Li, Q. L. Zhang, J. Y. Qin, and Y. Zhou. 2023. “Integrated scheduling of automatic guided vehicles and automatic stacking cranes in automated container terminals considering landside buffer zone.” Transp. Res. Rec. 2677 (12): 502–528. https://doi.org/10.1177/03611981231168862.
Fatemi-Anaraki, S., R. Tavakkoli-Moghaddam, D. Abdolhamidi, and B. V. Nouri. 2020. “Simultaneous waterway scheduling, berth allocation, and quay crane assignment: A novel matheuristic approach.” Int. J. Prod. Res. 59 (24): 7576–7593. https://doi.org/10.1080/00207543.2020.1845412.
Jia, S., C. L. Li, and Z. Xu. 2019. “Managing navigation channel traffic and anchorage area utilization of a container port.” Transp. Sci. 53 (3): 728–745. https://doi.org/10.1287/trsc.2018.0879.
Johnson, R. C. 1966. “A model of scheduling in a two-port shipping system.” Doctoral dissertation, Naval Postgraduate School, Univ. of Kansas.
Kim, K. H., and Y. M. Park. 2004. “A crane scheduling method for port container terminals.” Eur. J. Oper. Res. 156 (3): 752–768. https://doi.org/10.1016/S0377-2217(03)00133-4.
Kose, E., E. Basar, E. Demirci, A. Guneroglu, and S. Erkebay. 2003. “Simulation of marine traffic in Istanbul Strait.” Simul. Modell. Pract. Theory 11 (7–8): 597–608. https://doi.org/10.1016/j.simpat.2003.10.001.
Lalla-Ruiz, E., X. Shi, and S. Voss. 2016. “The waterway ship scheduling problem.” Transp. Res. Part D: Transp. Environ. 60 (May): 191–209. https://doi.org/10.1016/j.trd.2016.09.013.
Lamorgese, L., and C. Mannino. 2015. “An exact decomposition approach for the real-time train dispatching problem.” Oper. Res. 63 (1): 48–64. https://doi.org/10.1287/opre.2014.1327.
Lashkari, S. 2020. “Sequencing multiple-spreader crane operations: Mathematical formulations and heuristic algorithms.” Doctoral dissertation, College of Engineering and Applied Science, Univ. of Wisconsin-Milwaukee.
Li, J., J. Yang, B. Xu, and H. Song. 2021. “Hybrid scheduling for multi-equipment at U-shape trafficked auto-mated terminal based on chaos particle swarm optimization.” J. Mar. Sci. Eng. 9 (10): 1080. https://doi.org/10.3390/jmse9101080.
Li, S., and S. Jia. 2019. “The seaport traffic scheduling problem: Formulations and a column-row generation algorithm.” Transp. Res. Part B: Methodol. 128 (Oct): 158–184. https://doi.org/10.1016/j.trb.2019.08.003.
Liu, B., Z. C. Li, Y. Wang, and D. Sheng. 2021. “Short-term berth planning and ship scheduling for a busy seaport with channel restrictions.” Transp. Res. Part E: Logist. Transp. Rev. 154 (Oct): 102467. https://doi.org/10.1016/j.tre.2021.102467.
Liu, J., X. Yan, C. Liu, A. Fan, and F. Ma. 2013. “Developments and applications of green and intelligent inland vessels in China.” J. Mar. Sci. Eng. 11 (2): 318.
Liu, Y., Z. Yue, Y. Wang, and H. Wang. 2023. “Logistics distribution vehicle routing problem with time window under Pal-let 3D loading constraint.” Sustainability 15 (4): 3594. https://doi.org/10.3390/su15043594.
Mabrouki, C., A. Faouzi, and A. Mousrij. 2013. “A priority decision model for berth allocation and scheduling in a port container terminal.” J. Theor. Appl. Inf. Technol. 54 (2): 276–286.
Maneengam, A., and A. Udomsakdigool. 2021. “A set covering model for a green ship routing and scheduling problem with berth time-window constraints for use in the bulk cargo industry.” Appl. Sci. 11 (11): 4840. https://doi.org/10.3390/app11114840.
Meisel, F., and K. Fagerholt. 2019. “Scheduling two-way ship traffic for the Kiel Canal: Model, extensions and a matheuristic.” Comput. Oper. Res. 106 (Jun): 119–132. https://doi.org/10.1016/j.cor.2019.02.015.
Meng, L., X. Wang, and C. Han. 2023. “Optimization model for container liner ship scheduling considering disruption risks and carbon emission reduction.” J. Mar. Sci. Eng. 11 (7): 1449. https://doi.org/10.3390/jmse11071449.
Meng, Q., and S. Wang. 2011. “Liner shipping service network design with empty container repositioning.” Transp. Res. Part E: Logist. Transp. Rev. 47 (5): 695–708. https://doi.org/10.1016/j.tre.2011.02.004.
Norstad, I., K. Fagerholt, and G. Laporte. 2011. “Tramp ship routing and scheduling with speed optimization.” Transp. Res. Part C: Emerging Technol. 19 (5): 853–865. https://doi.org/10.1016/j.trc.2010.05.001.
Özlem, Ş., İ. Or, and Y. C. Altan. 2021. “Scheduling and simulation of maritime traffic in congested waterways: An application to the Strait of Istanbul.” J. Navig. 74 (3): 656–672. https://doi.org/10.1017/S0373463320000715.
Plomaritou, E. I. 2008. “A proposed application of the marketing mix concept to tramp & liner shipping companies.” Int. J. Contemp. Manage. Issues 13 (1): 59–71.
Rodrigues, T. D., C. M. D. Mota, U. Ojiako, M. Chipulu, A. Marshall, and F. Dweiri. 2023. “A flexible cost model for seaport-hinterland decisions in container shipping.” Res. Transp. Bus. Manage. 49 (Aug): 101016. https://doi.org/10.1016/j.rtbm.2023.101016.
Seyedalizadeh-Ganji, S. R., and H. Javanshir. 2010. “Yard crane scheduling in port container terminals using genetic algorithm.” Int. J. Ind. Eng. 61 (11): 39–50.
Ulusçu, Ö. S., B. Özbaş, T. Altıok, I. Or, and T. Yılmaz. 2009. “Transit vessel scheduling in the strait of Istanbul.” J. Navig. 62 (1): 59–77. https://doi.org/10.1017/S0373463308005092.
Wang, H., J. Liu, K. Liu, J. Zhang, and Z. Wang. 2018a. “Sensitivity analysis of traffic efficiency in restricted channel influenced by the variance of ship speed.” Proc. Inst. Mech. Eng., Part M: J. Eng. Marit. Environ. 232 (2): 212–224. https://doi.org/10.1177/1475090217720549.
Wang, H., J. Liu, J. Zhang, K. Liu, and Q. Yu. 2018b. “Self-organizing cooperation model for ships navigating in restricted one-way waterway.” Brodogradnja 69 (3): 1–23. https://doi.org/10.21278/brod69301.
Wang, H., W. Tian, J. Zhang, and Y. Li. 2020. “A hybrid self-organizing scheduling method for ships in restricted two-way waterways.” Brodogradnja 71 (2): 15–30. https://doi.org/10.21278/brod71202.
Xin, X., K. Liu, J. Zhang, S. Chen, H. Wang, and Z. Cheng. 2019. “A self-organizing grouping approach for ship traffic scheduling in restricted one-way waterway.” Mar. Technol. Soc. J. 53 (1): 83–96. https://doi.org/10.4031/MTSJ.53.1.9.
Yang, A., Y. Cao, K. Chen, Q. Zeng, and Z. Chen. 2021. “An optimization model for tramp ship scheduling considering time window and seaport operation delay factors.” J. Adv. Transp. 22 (Mar): 6650097. https://doi.org/10.1155/2021/6650097.
Yorulmaz, M., and A. Tas. 2022. “Mediating effect of customer satisfaction on the relationship between core service quality and behavioral intentions in liner shipping.” Sci. J. Marit. Res. 36 (1): 3–13.
Zhang, J., T. A. Santos, C. Guedes Soares, and X. Yan. 2017. “Sequential ship traffic scheduling model for restricted two-way waterway transportation.” Proc. Inst. Mech. Eng., Part M: J. Eng. Marit. Environ. 231 (1): 86–97. https://doi.org/10.1177/1475090215621580.
Zhang, J., Â. P. Teixeira, C. Guedes Soares, X. Yan, and K. Liu. 2016a. “Maritime transportation risk assessment of Tianjin Port with Bayesian belief networks.” Risk Anal. 36 (6): 1171–1187. https://doi.org/10.1111/risa.12519.
Zhang, X., J. Lin, Z. Guo, and T. Liu. 2016b. “Vessel transportation scheduling optimization based on channel–berth coordination.” Ocean Eng. 112 (Jan): 145–152. https://doi.org/10.1016/j.oceaneng.2015.12.011.
Zhang, Y., N. Zhao, and L. Shi. 2008. “A decomposition-heuristic-rule-enabled decision-making system for dynamic quay crane allocation and scheduling.” Int. J. Comput. Appl. Technol. 32 (4): 265–271. https://doi.org/10.1504/IJCAT.2008.021381.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10Issue 3September 2024

History

Received: Nov 22, 2023
Accepted: Feb 28, 2024
Published online: Jun 17, 2024
Published in print: Sep 1, 2024
Discussion open until: Nov 17, 2024

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Ph.D. Candidate, Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, No. 1178 Heping Ave., Wuchang District, Wuhan 430063, China; Associate Professor, College of Maritime, Beibu Gulf Univ., No. 12, Binhai Ave., Qinzhou 535011, China. ORCID: https://orcid.org/0000-0003-4168-2549. Email: [email protected]
Associate Professor, State Key Laboratory of Maritime Technology and Safety, Wuhan Univ. of Technology, No. 1178 Heping Ave., Wuchang District, Wuhan 430063, China (corresponding author). ORCID: https://orcid.org/0000-0003-2703-6663. Email: [email protected]
Asistant Professor, State Key Laboratory of Maritime Technology and Safety, Wuhan Univ. of Technology, No. 1178 Heping Ave., Wuchang District, Wuhan 430063, China. ORCID: https://orcid.org/0000-0002-4898-5203. Email: [email protected]
Engineer, Beibu Gulf Port Co., Ltd., No. 12, Tiqiang Rd., Liangqing District, Nanning 530201, China. Email: [email protected]
Yougui Yang [email protected]
Senior Engineer, Beibu Gulf Port Qinzhou Terminal Co., Ltd., No. 11 Legou West St., Qinzhou Port District, Qinzhou 535008, China. Email: [email protected]

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