MPM 11-01-2017_CF1.25.17.pdf (1.35 MB)
Multi-agent system with iterative auction mechanism for master bay plan problem in marine logistics
journal contribution
posted on 2023-06-09, 05:23 authored by Calwin S Parthibaraj, P L K Palaniappan, Gunasekaran Angappa, Nachiappan SubramanianNachiappan SubramanianThe 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.
History
Publication status
- Published
File Version
- Accepted version
Journal
Maritime Policy and ManagementISSN
0308-8839Publisher
Taylor & FrancisExternal DOI
Issue
6Volume
44Page range
705-726Department affiliated with
- Business and Management Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-03-06First Open Access (FOA) Date
2018-11-16First Compliant Deposit (FCD) Date
2017-03-05Usage metrics
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