Article

Capacity Planning for Mega Container Terminals with Multi-Objective and Multi-Fidelity Simulation Optimization

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Container terminals play a signicant role as representative logistics facilities for contemporary trades by handling outbound, inbound, and transshipment containers to and from the sea (shipping liners) and the hinterland (consignees). Capacity planning is a fundamental decision process when constructing, expanding, or renovating a container terminal to meet the demand, and the outcome of this planning is typically represented in terms of congurations of resources (e.g., the numbers of quay cranes, yard cranes, and vehicles) which enables the container ows to satisfy a high service level for vessels (e.g., berth-on-arrivals). This study presents a decision-making process which optimizes the capacity planning of large-scale container terminals. Advanced simulation-based optimization algorithms, such as MO-MO2TOS, MOCBA, and MO-COMPASS, were employed to formulate and solve the large-scale multiobjective problem optimally with multi-delity simulation models. Various simulation results were compared with one another in terms of the capacities over dierent resource congurations so as to understand the eect of various parameter settings on optimal capacity across the algorithms.

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Ketersediaan

Informasi Detail

Judul Seri

IISE Transactions

No. Panggil

ATC LO HAO c

Penerbit

Singapore : Taylor and Francis., 2017

Deskripsi Fisik

24 p.

Bahasa

English

ISBN/ISSN

2472-5862

Klasifikasi

LO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

2017

Subjek

Container terminals
capacity planning
resource conguration
simulation-based optimization
multi-objective multi-delity optimization

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Haobin Li

Versi lain/terkait

Lampiran Berkas

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