Multi-objective optimization of the integrated problem of location assignment and straddle carrier scheduling in maritime container terminal at import

Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim

“…Msakni et al [11] proposed a mixed-integer programming model and a method based on a binary search to determine the optimal loading and unloading schedule for berthed ships. Dkhil et al [12] developed an integrated model to minimise total operating costs considering the storage location and vehicle scheduling problems during the unloading process and used a tabu search as the solution method. Dik and Kozan [13] proposed a flexible neighbourhood search strategy based on the tabu search (TS) algorithm framework to study the quay crane scheduling problem and eliminated the influence of fixed jobs on the generated scheduling by dynamically changing TS flexible jobs.…”

Scheduling of container-handling equipment during the loading process at an automated container terminal

“…Two efficient solution methods, based on Benders' decomposition, were developed for model implementation. Dkhil et al (2017) developed an integrated model that took account of storage location and vehicle scheduling problems during the unloading process, whose objective was to minimise the total operation costs; a tabu search was used as the solution method. X.…”

A Job Sequencing Problem of an Overhead Shuttle Crane in a Rail-Based Automated Container Terminal

“…He et al [25] focus on the trade-off between equipment efficiency and energy consumption by integrating the management of the QC, transporter, and yard crane. Due to the direct relationship between the storage location and the routing path of a straddle carrier, Dkhil et al [26] study an integrated space allocation and vehicle dispatching problem. Kress et al [27] present a partitioning min-max weighted matching problem to model the temporary storage allocation problem and the job-toequipment assignment problem.…”