Berth Scheduling Problem Considering Traffic Limitations in the Navigation Channel

Xu, Youpeng; Xue, Kelei; Du, Yanliang

doi:10.3390/su10124795

Cited by 10 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To address the complexity of the scheduling process, a number of optimization algorithms have been applied in different scheduling fields [17,18]. For instance, Xu et al [19] applied a hybrid simulated annealing algorithm for a large-scale problem in berth scheduling by considering traffic limitations in navigation channels. Xu et al [20] developed the modified heuristic algorithms to enhance repair sequence scheduling methods for post-disaster critical infrastructure systems.…”

Section: Integrated Model For Scheduling Planningmentioning

confidence: 99%

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

et al. 2019

View full text Add to dashboard Cite

Renovation construction is employed for maintaining the long-term performance of buildings. For the occupants, the building users, renovation contributes to the acceptable levels of convenience and quality of the buildings. However, if the operation continues during the renovation for an area containing several buildings, such as a university campus, the impacts on the occupants are unavoidable. The complicated schedule plan is needed due to the various types of buildings and types of renovation under limited resources. The goal of this study is to build a model that can help the planners to make the renovation schedule plan. Taking a university campus as an example, the occupants’ convenience rate and the long-term quality of the building are analyzed in this paper. Based on the key attributes of building renovation, this study proposes a model integrating the genetic algorithm and simulation to provide the optimal schedule plan to the planners. The model is demonstrated by an application case of a university campus of 11 buildings remaining in operation. It helps the university maintain a good level of long-term performance of buildings.

show abstract

Section: Integrated Model For Scheduling Planningmentioning

confidence: 99%

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Xu et al. developed a hybrid SA‐based heuristic method to deal with the BAP while considering traffic limitations in the navigation channel [73]. The primary aim of this work is to propose cost‐efficient berth allocation while enhancing the performance of MCT.…”

Section: Current Literature On Stand‐alone Bapmentioning

confidence: 99%

A survey on computational intelligence approaches for intelligent marine terminal operations

Aslam,

Michaelides,

Herodotou

2024

IET Intelligent Trans Sys

View full text Add to dashboard Cite

Marine container terminals (MCTs) play a crucial role in intelligent maritime transportation (IMT) systems. Since the number of containers handled by MCTs has been increasing over the years, there is a need for developing effective and efficient approaches to enhance the productivity of IMT systems. The berth allocation problem (BAP) and the quay crane allocation problem (QCAP) are two well‐known optimization problems in seaside operations of MCTs. The primary aim is to minimize the vessel service cost and maximize the performance of MCTs by optimally allocating berths and quay cranes to arriving vessels subject to practical constraints. This study presents an in‐depth review of computational intelligence (CI) approaches developed to enhance the performance of MCTs. First, an introduction to MCTs and their key operations is presented, primarily focusing on seaside operations. A detailed overview of recent CI methods and solutions developed for the BAP is presented, considering various berthing layouts. Subsequently, a review of solutions related to the QCAP is presented. The datasets used in the current literature are also discussed, enabling future researchers to identify appropriate datasets to use in their work. Eventually, a detailed discussion is presented to highlight key opportunities along with foreseeable future challenges in the area.

show abstract

“…Xu et al [16] propose a novel berth scheduling problem that considers traffic limitations in port navigation channels. To optimally utilize the berth and improve the quality for customers, an MILP model is formulated under the one-way traffic rule in the navigation channel.…”

Section: Berth Allocation Problemmentioning

confidence: 99%

Mathematical Programming Formulations for the Berth Allocation Problems in Container Seaport Terminals

Aljuaid,

Koubâa,

Ammar

et al. 2024

Logistics

View full text Add to dashboard Cite

Background: Improving the performance of marine terminals is one of the major concerns of both researchers and decision-makers in the maritime transportation sector. The problem of container storage planning and the berth allocation problem (BAP) are the two mainstays of optimizing port operations. Methods: In this work, we address these two issues, proposing two mathematical models that operate sequentially and are applicable to both static and dynamic cases. The first developed model is a mixed-integer linear problem model aimed at minimizing vessel traffic time in the port. The second model developed is a multi-objective optimization model based on goal programming (GP) to minimize both container transfer time and the number of storage areas (minimizing container dispersion). Results: The robustness of the proposed models has been proven through a benchmark with tests using data from the literature and real port data, based on the IBM ILOG CPLEX 12.5 solver. Conclusions: The two developed mathematical models allowed the both minimization of the transfer time and the number of used storage areas, whatever the number of operations handling companies (OHCs) operating in the seaport and for both static and dynamic cases. We propose, as prospects for this work, the development of a heuristic model to deal with the major instances relating to the case of large ports.

show abstract

Berth Scheduling Problem Considering Traffic Limitations in the Navigation Channel

Cited by 10 publications

References 43 publications

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

A survey on computational intelligence approaches for intelligent marine terminal operations

Mathematical Programming Formulations for the Berth Allocation Problems in Container Seaport Terminals

Contact Info

Product

Resources

About