Article

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

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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 NPhard. 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.

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Ketersediaan

Informasi Detail

Judul Seri

Maritime Policy & Management The flagship journal of international shipping and port research

No. Panggil

ATC LO PAR m

Penerbit

United Kingdom : Routledge., 2017

Deskripsi Fisik

23 p.

Bahasa

English

ISBN/ISSN

1464-5254

Klasifikasi

LO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

2017

Subjek

Master bay plan problem (MBPP)
multi-agent system (MAS)
information exchange system (IES)
iterative combinatorial auction (ICA)

Info Detail Spesifik

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Pernyataan Tanggungjawab

Calwin S. Parthibaraj

Versi lain/terkait

Lampiran Berkas

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