Heuristic/Metaheuristic-Based Simulation Optimization Approaches for Integrated Scheduling of Yard Crane, Yard Truck, and Quay Crane Considering Import and Export Containers

10Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Yard cranes (YCs), yard trucks (YTs), and quay cranes (QCs) are the main material handling equipment (MHE) used to fulfill Yard Storage Plan (YSP) and Vessel Stowage plan (VSP) in a traditional container terminal. However, previous studies have often considered part of these MHE, with either import or export containers being neglected simultaneously. Such studies at most can only achieve local optimality which in a worst-case scenario can cause bottleneck(s) in the downstream operations. In addition, it is noted that the YSP, VSP, and their constraints have been often neglected in previous studies. Such negligence can cause operational problems. To best operate a container terminal, it needs to address the above issues. Our literature review shows that exact methods have difficulty solving a problem of big size to optimality due to NP-hard, thus alternative approaches are still required. Simulation-based optimization approaches are found with the potential to deal with container terminal problems. However, software for the integration of simulation and optimization effectively is found unavailable. In this research, different simulation-based optimization approaches, based on a simulation-based optimization framework (HSBOF), have been developed. These approaches help to schedule YCs, YTs, and QCs in handling both import and export containers for a ship in a traditional container terminal, taking YSP, VSP, and their constraints into consideration. Various heuristics/metaheuristics have been employed in the HSBOF as a sequencing method to arrange alternative operational sequences of containers. The results show that the Simulation(ISFLA) has the best performance.

References Powered by Scopus

Optimization of water distribution network design using the shuffled frog leaping algorithm

1381Citations
N/AReaders
Get full text

Container terminal operation and operations research - A classification and literature review

1113Citations
N/AReaders
Get full text

A survey of berth allocation and quay crane scheduling problems in container terminals

716Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Efficiency and energy consumption of the automated container yard with twin rail-mounted gantry cranes considering crane scheduling strategies and handshake area designs

4Citations
N/AReaders
Get full text

Smart container port development: Recent technologies and research advances

2Citations
N/AReaders
Get full text

Digital Twin Enhanced Reinforcement Learning for Integrated Scheduling in Automated Container Terminals

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hsu, H. P., Chou, C. C., & Wang, C. N. (2022). Heuristic/Metaheuristic-Based Simulation Optimization Approaches for Integrated Scheduling of Yard Crane, Yard Truck, and Quay Crane Considering Import and Export Containers. IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2022.3180752

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 7

70%

Lecturer / Post doc 3

30%

Readers' Discipline

Tooltip

Engineering 6

50%

Business, Management and Accounting 3

25%

Computer Science 2

17%

Mathematics 1

8%

Save time finding and organizing research with Mendeley

Sign up for free