Decision support for vehicle configuration determination in Inter Terminal Transport system design

Nieuwkoop, F.; Corman, Francesco; Negenborn, Rudy R.; Duinkerken, Mark B.; Schuylenburg, M. van; Lodewijks, Gabriël

doi:10.1109/icnsc.2014.6819696

Cited by 12 publications

(7 citation statements)

References 12 publications

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“…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

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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.

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Section: Introductionmentioning

confidence: 99%

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

2017

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“…If a container is delivered too late it is counted as non-performance. This method of registering non-performance is conform to the method used by Tierney et al (Tierney, Voss, and Stahlbock 2013) and Nieuwkoop (Nieuwkoop, Corman, Negenborn, Duinkerken, van Schuylenburg, and Lodewijks 2014). Non-performance is the key performance indicator of the ITT system and will show the percentage of containers that has not been delivered in time.…”

Section: Performance Indicatorsmentioning

confidence: 99%

“…A future research direction envisaged by that paper is to analyze the outputs by means of a discrete event simulation tool, so to consider a more comprehensive set of realistic performance indicators. A similar approach was further used to study the interplay of operations costs and vehicle costs in supporting the design of an ITT system (Nieuwkoop, Corman, Negenborn, Duinkerken, van Schuylenburg, and Lodewijks 2014). Other ways of determining container operations include heuristics and simulation approaches.…”

Section: Literaturementioning

confidence: 99%

“…Furthermore, three expected transport demand scenarios (with high, medium and low growth) for 2030 as defined by Gerritse (Gerritse 2014) are used. The number of ITT vehicles that are used for the various configurations is based on the outcome of the integer programming model proposed in Nieuwkoop (Nieuwkoop, Corman, Negenborn, Duinkerken, van Schuylenburg, and Lodewijks 2014). According to this model these configurations should make sure that more than 99% of the containers are delivered in time.…”

Section: Case Definitionmentioning

confidence: 99%

“…Within this project, a common dataset for the study of the Maasvlakte terminals is developed by Duinkerken and Negenborn and the expected transport demand scenarios for 2030 have been defined by Gerritse (Gerritse 2014). An integer programming model has been proposed by Nieuwkoop (Nieuwkoop, Corman, Negenborn, Duinkerken, van Schuylenburg, and Lodewijks 2014) to find rough estimations of the optimal transport configurations for the given transport demand scenarios.…”

Section: Project Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

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

Schroer

Corman

Duinkerken

et al. 2014

Proceedings of the Winter Simulation Conference 2014

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In this paper, various Inter Terminal Transport (ITT) systems for the Port of Rotterdam are evaluated. The Port Authority is investigating possible solutions for the transport of containers between terminals at the existing so-called Maasvlakte 1 and new Maasvlakte 2 areas within the port. A discrete event simulation model is presented that incorporates traffic modeling, which means that delays occurring due to traffic will have an impact on the system's performance. The model is applied to four different ITT vehicle configurations, including Automated Guided Vehicles (AGVs), Automated Lifting Vehicles (ALVs), Multi Trailer Systems (MTSs) and a combination of barges and trucks. Furthermore, three realistic demand scenarios for the year 2030 are used for the analysis.

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Port Equipment and Technology

Negenborn

Schott

Corman

2017

Encyclopedia of Maritime and Offshore Engineering

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The economic relevance of ports is related to the flows of goods they can handle and move, and it is strongly related to economic development. Due to trends in increasing port size, the effect of port size on economies of scale, and the tendency to bundle demand and operations into very large ports, port equipment and its management is becoming crucial for a port's efficiency. This article reviews the equipment and technology used at ports, with a major focus on containerized and dry bulk transport. An outlook over the future of port equipment points out their efficient management, with a clear trend for increasing support from information–communication technology and automation. This happens at the level of individual machines, as well as at the level of stakeholders (community systems). Via the intelligent interaction of technology and equipment in a coherent integrated system, efficient inter‐ and intraterminal operations can be achieved.

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Decision support for vehicle configuration determination in Inter Terminal Transport system design

Cited by 12 publications

References 12 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

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

Port Equipment and Technology

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