Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation

Schroer, Herbert J.L.; Corman, Francesco; Duinkerken, Mark B.; Negenborn, Rudy R.; Lodewijks, Gabriël

doi:10.1109/wsc.2014.7020026

Cited by 15 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent research activities focus on the evaluation of different types of ITT vehicles and vehicle fleet configurations for minimizing delivery delays proposing integer programming (Tierney et al 2014;Nieuwkoop et al 2014) and discrete event simulation (Duinkerken et al 2006;Schroër et al 2014) approaches (for an extensive bibliography and research agenda on ITT-related research, the reader is referred to Heilig and Voß 2016). However, approaches to efficiently coordinate ITT movements for reducing empty vehicle trips, generating unproductive vehicle emissions and traffic load, have not been considered in the literature so far.…”

Section: Introductionmentioning

confidence: 99%

port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization

2017

View full text Add to dashboard Cite

Besides the transport of containers between transshipment areas, an increasing amount of containers needs to be moved to value-added logistics and auxiliary service areas leading to additional container flows within a seaport. Both real-time information exchange and optimization are necessary to efficiently coordinate actors and container movements being involved in respective inter-terminal transport (ITT). However, there is no decision support system facilitating real-time planning and management of ITT taking advantage of modern information technologies and optimization algorithms. In this paper, we formulate the inter-terminal truck routing problem as a novel optimization problem and propose two greedy heuristics and two hybrid simulated annealing algorithms. The computational experiments, conducted using real locations from the Port of Hamburg (Germany), are evaluated extensively. They indicate that the proposed hybrid simulated annealing algorithms are able to report feasible and improved routes within seconds. The optimization component is embedded into a scalable cloud platform that integrates both real-time data from truck drivers using a mobile app and current traffic data. As such, the proposed mobile cloud platform realizes the vision of a decision support system facilitating real-time communication and context-aware ITT planning for reducing costs and the carbon footprint.

show abstract

Section: Introductionmentioning

confidence: 99%

port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization

2017

View full text Add to dashboard Cite

show abstract

“…Various studies have looked into such possibilities (e.g. Duinkerken et al, 2006;Schroër et al, 2014;Spruijt, van Duin and Rieck, 2017). Analytical models that are used in the research on inter-terminal transport most often are mathematical programming models, branch and bound models, queuing models, network models and simulation models that have limited applicability given the dynamic nature of the terminal handling industry and process (Edirisooriya and Bandara, 2017).…”

Section: Inter-terminal Transfersmentioning

confidence: 99%

Container Port Automation

2021

International Transport Forum Policy Papers

View full text Add to dashboard Cite

“…However, from a modelling perspective, a system with a buffer is more challenging as the number of relations increases. Further, it is likely that in the future most automated ports will operate with a buffer zone since it is shown be the most cost-effective alternative (Saanen 2016;Yang et al 2004;Schroër et al 2014). Therefore, a system with a buffer is the most applicable scenario and that is why it is considered in this article.…”

Section: Model Formulationmentioning

confidence: 99%

Coordinated optimization of equipment operations in a container terminal

et al. 2019

View full text Add to dashboard Cite

Increasing international maritime transport drives the need for efficient container terminals. The speed at which containers can be processed through a terminal is an important performance indicator. In particular, the productivity of the quay cranes (QCs) determines the performance of a container terminal; hence QC scheduling has received considerable attention. This article develops a comprehensive model to represent the waterside operations of a container terminal. Waterside operations comprise single and twinlift handling of containers by QCs, automated guided vehicles and yard cranes. In common practice, an uncoordinated scheduling heuristic is used to dispatch the equipment operating on a terminal. Here, uncoordinated means that the different machines that operate in the container terminal seek optimal productivity solely considering their own respective stage. By contrast, our model provides a coordinated schedule in which operations of all terminal equipment can be considered at once to achieve productivity closer to the QC optimal. The model takes the form of a hybrid flow shop (HFS) with novel features for bi-directional flows and job pairing. The former enables jobs to move freely through the HFS in both directions; the latter constrains certain jobs to be performed simultaneously by a single machine. We solve the coordinated model by means of a tailored simulated annealing (SA) algorithm that balances solution quality and computational time. We empirically study time-bounded variants of SA and compare them with a branchand-bound algorithm. We show that our approach can produce coordinated schedules for a terminal with up to eight QCs in near real time.

show abstract

Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation

Cited by 15 publications

References 18 publications

port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization

port-IO: an integrative mobile cloud platform for real-time inter-terminal truck routing optimization

Container Port Automation

Coordinated optimization of equipment operations in a container terminal

Contact Info

Product

Resources

About