The integrated berth allocation, quay crane assignment and scheduling problem: mathematical formulations and a case study

Kasm, Omar Abou; Diabat, Ali; Cheng, T.C.E.

doi:10.1007/s10479-018-3125-3

Cited by 37 publications

(8 citation statements)

References 23 publications

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“…Some scholars have combined two or more methods when addressing these problems (Iris et al, 2015;Song et al, 2012;Wang et al, 2019). Apart from combining solution methods, some scholars have solved two or more problems simultaneously (Iris et al, 2015;Kasm et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The integrated problem's complexity made them use an integer programming model and set partitioning column reduction to solve it. Kasm et al (2019) were able to concurrently generate prom-ising results for quay crane assignment, berth planning, and scheduling problems in seaports. They used a binary optimisation modelling approach to optimise vessel operation.…”

Section: Literature Reviewmentioning

confidence: 99%

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Adoption of a multi-criteria approach for the selection of operational measures in a maritime environment

Ighravwe¹,

Aikhuele²,

Fayomi³

et al. 2022

10.5267/j.jpm

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In recent times, there have been developments in the maritime industry that underscore the need to optimise operations to yield maximum productivity. Apart from this, stakeholders in this industry have also advocated improvements in seaport operations' critical areas. However, there is no known study in which the relationship between performance criteria and seaport operation measures is investigated. This study proposes a framework for selecting operation measures for the maritime industry. It uses stakeholders' expectations for operational criteria and fuzzy logic to design the framework. Nine criteria were considered in the framework, while Fuzzy VIKOR (VIsekriterijumska optimizacija I KOmpromisno Resenje) and fuzzy Shannon entropy were incorporated into it. The framework's applicability was tested using information that was obtained from Tin can port, Lagos, Nigeria. During this process, hinterland traffic diversion (A1), congestion pricing (A2), off-dock container yards (A3), Fast rail shuttles (A4), expanded rail connections (A5) were considered as alternatives for seaport operational measures. When the developed framework was used to analyse the collected information from Tin Can port, Lagos, Nigeria, the fuzzy VIKOR index ranked the alternatives as A1 » A2 » A3 » A5 » A4. Therefore, this study's insights show that mathematical models can be used to make informed seaports decisions.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Adoption of a multi-criteria approach for the selection of operational measures in a maritime environment

Ighravwe¹,

Aikhuele²,

Fayomi³

et al. 2022

10.5267/j.jpm

View full text Add to dashboard Cite

show abstract

“…Wang [29] et al intended to optimize the total delay time of completing the operation, cost of quay crane, and carbon emission tax. Abou Kasm [30] et al introduced a model to optimize the berth and quay crane scheduling, minimizing the total time consumption of waiting to handling. Tan [31] et al integrated the berth allocation problem and quay crane assignment problem to minimize the time of waiting and delay departure.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

“…Constraint (29) ensures that the total blocks occupied by each vessel in the import empty container storage yard do not exceed the upper and lower limits it can occupy. Constraint (30) ensures that the total blocks occupied by the given vessel in the export heavy container storage yard do not exceed the upper and lower limits it can occupy. Constraint (31) ensures that the total blocks occupied by each vessel in the export empty container storage yard do not exceed the upper and lower limits it can take up.…”

Section: Model Formulation Of Berth and Yard Integrated Scheduling With Synchronous Decision Time Tickmentioning

confidence: 99%

Container Terminal Berth and Yard Collaborative Allocation for Import and Export Synchronous Operations by Computational Logistics

Jiang

Lei

2022

Discrete Dynamics in Nature and Society

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Container terminal operators have practical and clear requirements on improving operational efficiency and service level to address running challenges. The resource allocation and collaborative scheduling of quayside berth and storage yard are vital issues in the optimization of container terminal handling systems (CTHSs). The allocation of berth in quayside and blocks on storage yard directly affects the running efficiency of CTHS. Consequently, we focus on the berth and yard collaborative allocation for import and export synchronous operations (BYCA-IESOs) and propose the BYCA-IESO research model based on synchronous or asynchronous integrated scheduling strategy by computational logistics. The BYCA-IESO model is a mixed integer quadratic programming model to minimize multiple time consumption of calling liners and the total horizontal transferring distances of yard trailers at container terminals. Furthermore, we design other two allocation policies for comparison on the BYCA-IESO, which are both multistage scheduling strategy profiles. CPLEX 20.1.0 is applied to implement and solve the model and tactics of BYCA-IESO. Accordingly, the feasibility, validity, and relative merits of the models and strategies are obtained and verified by analyzing and comparing multiple numerical experimental results.

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“…Cho et al (2020) integrate a filtered beam search (FBS)-based heuristic, a greedy randomized adaptive search procedure (GRASP)-based heuristic, and an iterative approach to solve BACAP in a multi-user container terminal. Other recent work applying advanced heuristics on BACAP include Abou Kasm et al (2020), Agra and Oliviera (2018), Iris et al (2017), Li et al (2019), and Malekahmadi et al (2020). Wang et al (2020) study BACAP with the consideration of carbon emission taxation.…”

Section: Literature Review: An Integrated View On Container Terminal Optimizationmentioning

confidence: 99%

Simulation Model to Determine Ratios between Quay, Yard and Intra-Terminal Transfer Equipment in an Integrated Container Handling System

Sha¹,

Notteboom²,

Zhang³

et al. 2021

Journal of International Logistics and Trade

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This paper presents a generic simulation model to determine the equipment mix (quay, yard and intra-terminal transfer) for a Container Terminal Logistics Operations System (CTLOS). The simulation model for the CTLOS, a typical type of discrete event dynamic system (DEDS), consists of three sub-models: ship queue, loading-unloading operations and yard-gate operations. The simulation model is empirically applied to phase 1 of the Yangshan Deep Water Port in Shanghai. This study considers different scenarios in terms of container throughput levels, equipment utilization rates, and operational bottlenecks, and presents a sensitivity analysis to evaluate and choose reasonable equipment ratio ranges under different operational conditions.

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The integrated berth allocation, quay crane assignment and scheduling problem: mathematical formulations and a case study

Cited by 37 publications

References 23 publications

Adoption of a multi-criteria approach for the selection of operational measures in a maritime environment

Adoption of a multi-criteria approach for the selection of operational measures in a maritime environment

Container Terminal Berth and Yard Collaborative Allocation for Import and Export Synchronous Operations by Computational Logistics

Simulation Model to Determine Ratios between Quay, Yard and Intra-Terminal Transfer Equipment in an Integrated Container Handling System

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