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Multi-agent system with iterative auction mechanism for master bay plan problem in marine logistics

Author

Listed:
  • Calwin S. Parthibaraj
  • PL.K. Palaniappan
  • Angappa Gunasekaran
  • Nachiappan Subramanian

Abstract

The support of containerization to trade development demands an efficient solution method for the container loading problem in order to reduce shipment and handling time. Hence, the stowage planning of containers is critical to provide speedy delivery of resources from the area of supply to the area of demand. Moreover, information on container terminal activities, structure of ship, and characteristics of containers is distributed among stowage planners. This information imposes constraints, and so the master bay plan problem (MBPP) becomes NP-hard. Therefore, a multi-agent systems (MAS) methodology is designed to effectively communicate the information and solve the MBPP sustainably. In the designed MAS methodology, an information exchange system (IES) is created for stowage planners to bid for ship slots in each experimental iterative combinatorial auction (ICA) market. The winner in the ICA experiments is provided with the ship slots, and the entire bay plan is prepared. Further, the ship-turnaround time is validated using the data obtained from the benchmark problem.

Suggested Citation

  • Calwin S. Parthibaraj & PL.K. Palaniappan & Angappa Gunasekaran & Nachiappan Subramanian, 2017. "Multi-agent system with iterative auction mechanism for master bay plan problem in marine logistics," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 705-726, August.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:6:p:705-726
    DOI: 10.1080/03088839.2017.1324219
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    References listed on IDEAS

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    1. Shankar Vinay Arul & Angappa Gunasekaran & SP. Nachiappan & V. Naganathan, 2007. "A design of experiment based procedure for real-time forecasting," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 2(1), pages 61-78.
    2. Yavuz Keceli, 2016. "A simulation model for gate operations in multi-purpose cargo terminals," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(8), pages 945-958, November.
    3. Imai, Akio & Sasaki, Kazuya & Nishimura, Etsuko & Papadimitriou, Stratos, 2006. "Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks," European Journal of Operational Research, Elsevier, vol. 171(2), pages 373-389, June.
    4. Vic Justice & Prashant Bhaskar & Hilary Pateman & Peter Cain & Stephen Cahoon, 2016. "US container port resilience in a complex and dynamic world," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(2), pages 179-191, February.
    5. Marlow, Peter & Nair, Rawindaran, 2006. "Liner shipping and information exchange--a European perspective," Marine Policy, Elsevier, vol. 30(6), pages 681-688, November.
    6. Kuancheng Huang & Suprayogi & Ariantini, 2016. "A continuous berth template design model with multiple wharfs," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(6), pages 763-775, August.
    7. Steve Yau-Wah Lam & Tsz Leung Yip, 2008. "The role of geomatics engineering in establishing the marine information system for maritime management," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(1), pages 53-60, February.
    8. Yun, Won Young & Choi, Yong Seok, 1999. "A simulation model for container-terminal operation analysis using an object-oriented approach," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 221-230, March.
    9. Chin-Shan Lu & Po-Lin Lai & Yi-Pin Chiang, 2016. "Container terminal employees’ perceptions of the effects of sustainable supply chain management on sustainability performance," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(5), pages 597-613, July.
    10. Woo, Youn Ju & Kim, Kap Hwan, 2011. "Estimating the space requirement for outbound container inventories in port container terminals," International Journal of Production Economics, Elsevier, vol. 133(1), pages 293-301, September.
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    Cited by:

    1. Hyunwoo Park & Christian C. Blanco & Elliot Bendoly, 2022. "Vessel sharing and its impact on maritime operations and carbon emissions," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2925-2942, July.

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