A multi-agent framework for container booking and slot allocation in maritime shipping

References

• Ali, Syed Imran, Abdilahi Ali, Muhanad AlKilabi, and Michael Christie. 2021. “Optimal Supply Chain Design with Product Family: A Cloud-Based Framework with Real-Time Data Consideration.” Computers and Operations Research 126: 105112. doi:10.1016/j.cor.2020.105112.
   Web of Science ®Google Scholar
• Chang, Chia-hui, Lawrence W. Lan, and Mee Lee. 2014. “An Integrated Container Management Model for Optimizing Slot Allocation Plan and Empty Container Repositioning.” Maritime Economics & Logistics 17 (3): 315–340. doi:10.1057/MEL.2014.23.
   Web of Science ®Google Scholar
• Chao, Pei Chi, and Hung Min Sun. 2013. “Multi-Agent-Based Cloud Utilization for the IT Office-Aid Asset Distribution Chain: An Empirical Case Study.” Information Sciences 245: 255–275. doi:10.1016/j.ins.2013.05.006.
   Web of Science ®Google Scholar
• “Container Shipping – Statistics & Facts | Statista”. 2021. Accessed August 16. https://www.statista.com/topics/1367/container-shipping/.
   Google Scholar
• Du, Wenzeng, Genke Yang, Changchun Pan, and Peifeng Xi. 2019. “A Heterogeneous Multi-Agent System Model with Navigational Feedback for Load Demand Management of a Zonal Medium Voltage Dc Shipboard Power System.” IEEE Access 7: 148073–148083. doi:10.1109/ACCESS.2019.2946644.
   Web of Science ®Google Scholar
• García Coria, José A., José A. Castellanos-Garzón, and Juan M. Corchado. 2014. “Intelligent Business Processes Composition Based on Multi-Agent Systems.” Expert Systems with Applications 41 (4 PART 1): 1189–1205. doi:10.1016/j.eswa.2013.08.003.
   Web of Science ®Google Scholar
• Guo, Z. X., W. K. Wong, and Chunxiang Guo. 2014. “A Cloud-Based Intelligent Decision-Making System for Order Tracking and Allocation in Apparel Manufacturing.” International Journal of Production Research 52 (4): 1100–1115. doi:10.1080/00207543.2013.838650.
   Web of Science ®Google Scholar
• Kumar, Vikas, and Nishikant Mishra. 2011. “A Multi-Agent Self Correcting Architecture for Distributed Manufacturing Supply Chain.” IEEE Systems Journal 5 (1): 6–15. doi:10.1109/JSYST.2010.2100195.
   Web of Science ®Google Scholar
• Kumari, Sushma, Akshit Singh, Nishikant Mishra, and Jose Arturo Garza-Reyes. 2015. “A Multi-Agent Architecture for Outsourcing SMEs Manufacturing Supply Chain.” Robotics and Computer-Integrated Manufacturing 36: 36–44. doi:10.1016/j.rcim.2014.12.009.
   Web of Science ®Google Scholar
• Li, Xinyu, Chaoyong Zhang, Liang Gao, Weidong Li, and Xinyu Shao. 2010. “An Agent-Based Approach for Integrated Process Planning and Scheduling.” Expert Systems with Applications 37 (2): 1256–1264. doi:10.1016/j.eswa.2009.06.014.
   Web of Science ®Google Scholar
• Liu, Yongkui, Lihui Wang, Xi Vincent Wang, Xun Xu, and Lin Zhang. 2019. “Scheduling in Cloud Manufacturing: State-of-the-Art and Research Challenges.” International Journal of Production Research 57 (15–16): 4854–4879. doi:10.1080/00207543.2018.1449978.
   Web of Science ®Google Scholar
• Liu, Di, and Hualong Yang. 2015. “Joint Slot Allocation and Dynamic Pricing of Container Sea–Rail Multimodal Transportation.” Journal of Traffic and Transportation Engineering (English Edition) 2 (3): 198–208. doi:10.1016/J.JTTE.2015.03.008.
   Google Scholar
• Manuel Maqueira, Juan, José Moyano-Fuentes, and Sebastián Bruque. 2019. “Drivers and Consequences of an Innovative Technology Assimilation in the Supply Chain: Cloud Computing and Supply Chain Integration.” International Journal of Production Research 57 (7): 2083–2103. doi:10.1080/00207543.2018.1530473.
   Web of Science ®Google Scholar
• Maragos, Spyridon A. 1994. “Yield Management for the Maritime Industry”.
   Google Scholar
• Mishra, N., V. Kumar, and F. T. S. Chan. 2012. “A Multi-Agent Architecture for Reverse Logistics in a Green Supply Chain.” International Journal of Production Research 50 (9): 2396–2406. doi:10.1080/00207543.2011.581003.
   Web of Science ®Google Scholar
• Mishra, Nishikant, Akshit Singh, Sushma Kumari, Kannan Govindan, and Syed Imran Ali. 2016. “Cloud-Based Multi-Agent Architecture for Effective Planning and Scheduling of Distributed Manufacturing.” International Journal of Production Research 54 (23): 7115–7128. doi:10.1080/00207543.2016.1165359.
   Web of Science ®Google Scholar
• Moyaux, Thierry, Brahim Chaib-draa, and Sophie D’Amours. 2006. “Supply Chain Management and Multiagent Systems: An Overview.” Multiagent Based Supply Chain Management, 1–27. doi:10.1007/978-3-540-33876-5_1.
   Google Scholar
• Oliveira, Marcos Paulo Valadares de, and Robert Handfield. 2019. “Analytical Foundations for Development of Real-Time Supply Chain Capabilities.” International Journal of Production Research 57 (5): 1571–1589. doi:10.1080/00207543.2018.1493240.
   Web of Science ®Google Scholar
• Orji, Ifeyinwa Juliet, Simonov Kusi-Sarpong, Shuangfa Huang, and Diego Vazquez-Brust. 2020. “Evaluating the Factors That Influence Blockchain Adoption in the Freight Logistics Industry.” Transportation Research Part E: Logistics and Transportation Review 141 (June 2019): 102025. doi:10.1016/j.tre.2020.102025.
   Web of Science ®Google Scholar
• Parthibaraj, Calwin S, P. L. K. Palaniappan, and Angappa Gunasekaran. 2017. “Multi-Agent System with Iterative Auction Mechanism for Master Bay Plan Problem in Marine Logistics.” Maritime Policy & Management 44 (6): 705–726. doi:10.1080/03088839.2017.1324219.
   Web of Science ®Google Scholar
• Sanchez-Gonzalez, Pedro Luis, David Díaz-Gutiérrez, Teresa J. Leo, and Luis R. Núñez-Rivas. 2019. “Toward Digitalization of Maritime Transport?” Sensors (Switzerland) 19 (4): 926. doi:10.3390/s19040926.
   PubMed Web of Science ®Google Scholar
• Tan, Zhijia, Wan Li, Xiaoning Zhang, and Hai Yang. 2015. “Service Charge and Capacity Selection of an Inland River Port with Location-Dependent Shipping Cost and Service Congestion.” Transportation Research Part E: Logistics and Transportation Review 76 (April): 13–33. doi:10.1016/J.TRE.2015.01.009.
   Google Scholar
• “Top 100”. 2021. Accessed August 15. https://alphaliner.axsmarine.com/PublicTop100/.
   Google Scholar
• UNCTAD. 2019. “Review of Maritime Transport 2019”.
   Google Scholar
• Wang, Tingsong, and Man Li. 2019. “Dynamic Pricing Model for Container Slot Allocation Considering Port Congestion.” Smart Innovation, Systems and Technologies 149: 243–250. doi:10.1007/978-981-13-8683-1_25.
   Google Scholar
• Wang, Tingsong, Qiang Meng, Shuaian Wang, and Xiaobo Qu. 2021. “A Two-Stage Stochastic Nonlinear Integer-Programming Model for Slot Allocation of a Liner Container Shipping Service.” Transportation Research Part B: Methodological 150 (March 2020): 143–160. doi:10.1016/j.trb.2021.04.016.
   Google Scholar
• Wang, Tingsong, Xuecheng Tian, and Yadong Wang. 2020. “Container Slot Allocation and Dynamic Pricing of Time-Sensitive Cargoes Considering Port Congestion and Uncertain Demand.” Transportation Research Part E: Logistics and Transportation Review 144 (October): 102149. doi:10.1016/j.tre.2020.102149.
   Google Scholar
• Wang, Tingsong, Zheng Xing, Hongtao Hu, and Xiaobo Qu. 2019. “Overbooking and Delivery-Delay-Allowed Strategies for Container Slot Allocation.” Transportation Research Part E: Logistics and Transportation Review 122 (February): 433–447. doi:10.1016/J.TRE.2018.12.019.
   Google Scholar
• “WTO | Trade Statistics – World Trade Statistical Review 2019”. 2021. Accessed August 14. https://www.wto.org/english/res_e/statis_e/wts2019_e/wts19_toc_e.htm.
   Google Scholar
• Yang, Chung Shan. 2019. “Maritime Shipping Digitalization: Blockchain-Based Technology Applications, Future Improvements, and Intention to Use.” Transportation Research Part E: Logistics and Transportation Review 131 (July): 108–117. doi:10.1016/j.tre.2019.09.020.
   Google Scholar
• Yu, Yang, Ray Qing Cao, and Dara Schniederjans. 2017a. “Cloud Computing and Its Impact on Service Level: A Multi-Agent Simulation Model.” International Journal of Production Research 55 (15): 4341–4353. doi:10.1080/00207543.2016.1251624.
   Web of Science ®Google Scholar
• Yu, Chunxia, T. N. Wong, and Zhi Li. 2017b. “A Hybrid Multi-Agent Negotiation Protocol Supporting Supplier Selection for Multiple Products with Synergy Effect.” International Journal of Production Research 55 (1): 18–37. doi:10.1080/00207543.2016.1189105.
   Web of Science ®Google Scholar
• Zeng, Fangli, Hing Kai Chan, and Kulwant Pawar. 2020. “The Adoption of Open Platform for Container Bookings in the Maritime Supply Chain.” Transportation Research Part E: Logistics and Transportation Review 141 (July). doi:10.1016/j.tre.2020.102019.
   PubMedGoogle Scholar
• Zeng, Fangli, Hing Kai Chan, and Kulwant Pawar. 2021. “The Effects of Inter- and Intraorganizational Factors on the Adoption of Electronic Booking Systems in the Maritime Supply Chain.” International Journal of Production Economics 236 (April): 108119. doi:10.1016/j.ijpe.2021.108119.
   Google Scholar
• Zurheide, Sebastian, and Kathrin Fischer. 2015. “Revenue Management Methods for the Liner Shipping Industry.” Flexible Services and Manufacturing Journal 27 (2–3): 200–223. doi:10.1007/s10696-014-9192-0.
   Web of Science ®Google Scholar