Container Flow Generation for Maritime Container Terminals

Quay partitioning problem

“…Hence, this section will be devoted to container terminal design literature, without claiming to be an exhaustive review of the matter. The review by Kastner et al (2022) can be a starting point for further studies on container terminal planning. The literature referred to in this section is outlined in Table 1.…”

“…Let us return to terminal design, also called terminal layout. Kastner et al (2022) review and systematize 29 container terminal design studies regarding equipment choice, layout design for the seaside, storage, hinterland areas, and evaluation methods. They determine a typical sequence of design decisions from the equipment to the layout.…”

“…Still, the number of ships and their types, arrival frequencies, and the number of containers they will load/unload are necessary for dimensioning the terminal. Second, evaluating the efficiency of a given terminal layout, for a given traffic model, is already Kastner et al (2022) Review of container terminal design studies, regarding equipment choice, layout design for seaside, storage, hinterland areas, and evaluation methods, SL seaside scheduling Meisel (2010, 2015) BAP, QCAP literature reviews, TL, OL Rodrigues and Agra (2022) Review and taxonomy for BAP with uncertainty, TL, OL Imai et al (2014) Berth schedule templates in time × space, TL, obj: cost and flow time Bouzekri et al (2021) Laycan allocation problem -assigning berthing time windows to new vessels to charter, +BAP, +QCAP, TL, OL, obj: cost, alternatively, flow time Nam et al (2002) Evaluation by simulation of four scenarios of sharing berths and quay cranes between four terminal operators of a quay, TL, OL, multicriteria Chen et al (2021) Evaluation by simulation of two alternative bulk and container terminal locations, SL, obj:(average waiting time)/(average service time) Rodrigues and Agra (2023) Distributionally robust optimization for QCSP, obj: makespan yard (storage) layout Petering (2009) Evaluation by simulation of storage block width impact on quay crane rate and terminal performance, SL, obj: gross crane rate (lifts/hour) Wiese et al (2011) Storage block width and length bi-criteria optimization by mathematical programming, SL, obj: cost, alternatively, makespan Gupta et al (2017) Integrated queuing network model for container unloading process with ALVs, SL, obj: expected time to unload a container Alcalde et al (2015) A probabilistic model to predict storage space requirements, SL, obj: cost Lee et al (2018) Deterministic performance analysis of single-/double-lane storage blocks, SL, bi-obj: container throughput and number of equipment units Zhou et al (2016) Two-stage stochastic programming model for storage blocks layout, with terminal operations simulations providing container transfer timing, SL, obj: investment, and operational costs Tan et al (2022) PSO algorithm planning transition from diesel to green yard cranes, SL, obj: combined cost…”

“…According to Gharehgozli et al (2020) and Kastner et al (2022), terminal design decomposes into berth layout for the seaside part, yard and traffic course layout for the yard part, and gate and rail area layout for the landside part. Even though the landside issues should not be overlooked as fluid traffic to and from the hinterland is essential for the terminal competitiveness, while multimodality is a way to limit greenhouse gas emissions, they are usually dealt with at the port authority level, not at the terminal level.…”

“…The review by Kastner et al. (2022) can be a starting point for further studies on container terminal planning. The literature referred to in this section is outlined in Table 1.…”