11 research outputs found

    Modelling the supply chain impact of a digital terminal appointment systems parameters and user behaviours. A discrete event simulation approach

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    This research-in-progress paper is part of an ongoing investigation that explores the role of information and digital systems for understanding congestion challenges and management approaches in bulk cargo marine terminals and supply chains. This paper contributes to the broader investigation by developing a discrete-event simulation model to improve understanding of the impact of driver behaviors and scheduling parameters in the use of a digital terminal appointment system on truck flows in the supply chain and turnaround times at the terminal. The data supporting the simulation model was collected from an RFID-enabled weigh-bridge system of an Australian terminal operator and GPS units mounted on trucks. Simulation results indicate that even low levels of system use can reduce truck turnaround times and reduce service time uncertainty. Interestingly, the truck turnaround time benefits resulting from the use of the appointment system are particularly significant when the terminal operates at high capacity

    Studies on the impact of road freight transport and alternative modes in Australia: a literature study

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    The freight sector in Australia has been growing at an ever-increasing rate due to domestic and international demand for goods, commodities, and resources. Increased volume of traffic comes with increased greenhouse gas. Greenhouse gas impacts climate change and air pollution, increasing the risk of public health and safety. The European Union used Marco Polo to shift transit freight from road to sea, rail, and inland waterways to reduce the number of trucks on the road to lessen congestion, less pollution, and more reliable and efficient transport of goods. Fuel Tax Credit was similarly introduced in Australia to address some of these issues. It is now time to analyse the impact of these schemes. This paper is a systematic literature review using the Mixed Method Appraisal Tool and Critical Appraisal Skills Programme. Findings include using alternative modes of transport for long distances reduces carbon dioxide and the likelihood of using renewable fuels like electric and hydrogen fuel for trucks. However, research was limited on renewable fuels

    A Systematic Literature Review Looking at Digitizing Container Harbors

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    This article presents a systematic literature on the use of information technology within the field of maritime shipping. First, the review scope, the search terms, the data sources, the search process, the inclusion and exclusion criteria, and the data extraction and analysis procedures are presented. The findings show that RFID is still reported to be in its infancy. Truck appointment system might only work in certain situations as truck drivers might not have a choice of when to pick up its container. There is no centralization of the operation. Creating a digital dashboard to display potential wait-time based on past days truck companies can better plan their day if they have the chance to do so. The benefits of such system are to offer real-time information to its users. Digitalization also allows for predictive analytics to take place this takes the process to another level.publishedVersio

    Business process management systems in port processes: A systematic literature review

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    Business Process Management Systems (BPMS) represent a technology that automates business processes, connecting users to their tasks. There are many business processes within the port activity that can be improved through the use of more efficient technologies and BPMS in particular, which can help to coordinate and automate critical processes such as cargo manifests, customs declaration the management of scales, or dangerous goods, traditionally supported by EDI technologies. These technologies could be integrated with BPMS, modernizing port logistics management. The aim of this work is to demonstrate, through a systematic analysis of the literature, the state of the art in BPMS research in the port industry. For this, a systematic review of the literature of the last ten years was carried out. The works generated by the search were subsequently analysed and filtered. After the investigation, it is discovered that the relationship between BPMS and the port sector is practically non-existent which represents an important gap to be covered and a future line of research.INDESS. Universidad de Cádi

    Business process management systems in port processes: a systematic literature review

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    Business Process Management Systems (BPMS) represent a technology that automates business processes, connecting users to their tasks. There are many business processes within the port activity that can be improved through the use of more efficient technologies and BPMS in particular, which can help to coordinate and automate critical processes such as cargo manifests, customs declaration the management of scales, or dangerous goods, traditionally supported by EDI technologies. These technologies could be integrated with BPMS, modernizing port logistics management. The aim of this work is to demonstrate, through a systematic analysis of the literature, the state of the art in BPMS research in the port industry. For this, a systematic review of the literature of the last ten years was carried out. The works generated by the search were subsequently analysed and filtered. After the investigation, it is discovered that the relationship between BPMS and the port sector is practically non-existent which represents an important gap to be covered and a future line of research

    Access management for road hauliers and rail operators in intermodal freight terminals

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    A pivotal element in the transport industry, intermodal freight transport, is rather complex due to the numerous transport modes and actors involved. Terminal operators in intermodal freight transport face major challenges to provide seamless flows of containers via their terminals. Seamless flows are achievable by bridging gaps between large-scale transport operators (e.g. shipping lines) and small-scale transport operators (e.g. road hauliers and rail operators). Effective access processes can not only bridge those gaps but also contribute to decreasing turnaround times for trucks and trains. By applying the access processes, small-scale transport operators can receive access to specific resources in terminals. An effective access process can be achieved when transport resources (e.g. trucks and truck drivers) can be managed together with terminal resources (e.g. straddle carriers and straddle carrier drivers). In this thesis, such management is termed access management, defined as managing the process by which actors access resources at terminals. Guided by that concept, the thesis seeks to increase the understanding of how access management for road hauliers and rail operators in intermodal freight terminals can contribute to decreasing turnaround times for trucks and trains.The thesis is a compilation of five papers reporting studies that involved literature reviews, interviews, focus groups, participant observations and time measurements. Whereas the literature reviews focused on the topics of access management and information exchange, the collected data were analysed by implementing several analytical frameworks developed for the thesis. The results of using those frameworks clarified how effective access to resources at intermodal freight terminals can be managed, especially by explaining four dynamics: (1) how different information services can contribute to decreasing turnaround times for trucks and trains, (2) how those services can affect activity performance and resource utilisation, (3) how the required and most relevant attributes of information can be exchanged in real time among actors involved and (4) how and when such attributes need to be automatically collected and exchanged. Following from those results, the chief finding is that terminal operators can effectively manage transport and terminal processes, as well as decrease turnaround for trucks and trains, by using access management services that allow exchanging information in real time. From the empirical findings of the studies conducted, six propositions are formulated and justified

    New Models for Truck Appointment Problem and Extensions

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    The problematic issues surrounding gate congestion at marine container terminals have been well documented. Random truck arrivals at maritime container terminals are one of the primary reasons for gate congestion. Gate congestion negatively affects the terminal’s and drayage firms’ productivity and the surrounding communities in terms of air pollution and noise. To alleviate gate congestion, more and more terminals in the U.S. are utilizing a truck appointment system (TAS). The first study proposes a novel approach for designing a Truck Appointment System (TAS) intended to serve both the marine container terminal operator and drayage operators. The aim of the proposed TAS is to minimize the impact to both terminal and drayage operations. In regard to terminal operations, the TAS seeks to distribute the truck arrivals evenly throughout the day to avoid gate and yard congestion. In regard to drayage operations, the TAS explicitly considers the drayage truck tours and seeks to provide appointment times such that trucks do not have to deviate greatly from their original schedule. The proposed TAS is formulated as a mixed integer nonlinear program (MINLP) and the model is solved using the Lingo commercial software. Experimental results indicate that the proposed TAS reduces the drayage operation cost by 11.5% compared to a TAS where its aim is only to minimize gate queuing time by making truck arrivals uniform throughout the day. The second study proposes a novel approach to modeling the TAS to better capture the multi-player game (i.e., interplay) between the terminal and drayage firms regarding appointments. A multi-player bi-level programming model is proposed with the terminal functions as the leader at the upper-level and the drayage firms function as followers at the lower-level. The objective of the leader (the terminal) is to minimize the gate waiting cost of trucks by spreading out the truck arrivals, and the objective of the followers (drayage firms) is to minimize their own drayage cost. To make the model tractable, the bi-level model is transformed to a single-level problem by replacing the lower-level problem with its equivalent Karush–Kuhn–Tucker (KKT) conditions. For comparison purposes, a single-player version of the TAS model is also developed. Experimental results indicate that the proposed multi-player model yields a lower gate waiting cost compared to the single-player model and that it yields higher cost savings for the drayage firms as the number of appointments per truck increases. Moreover, the solution of the of multi-player model is less sensitive to objective function coefficients across problem sizes compared to the single-player model. Lastly, the third study develops a truck appointment system (TAS) considering variability in turn time at the container terminals. The consideration of this operational characteristic is crucial for optimal drayage scheduling. The TAS is formulated as a stochastic model and solved using the Sample Average Approximation (SAA) algorithm. Using turn time distributions obtained from actual data from a U.S. port, a series of experiments is designed to evaluate the effectiveness of the proposed stochastic TAS model compared to the deterministic version where an average turn time is used instead of a distribution. Numerical experiment results demonstrate the benefit of the stochastic TAS model given its lower drayage cost error by 3.9% compared to the deterministic TAS model. This result implies that the schedules produced by the stochastic TAS model are more robust and are able to accommodate a wider range of turn time scenarios. Another key takeaway from the experiment results is that the stochastic TAS model is more beneficial to utilize when the ratio of quotas to requested appointments is lower. Thus, in practice, when this ratio is more likely to be on the lower end, drayage companies would benefit more if the appointment schedule adopts the stochastic approach described in this paper

    Exploring congestion impact beyond the bulk cargo terminal gate

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    Bulk cargo terminal congestion management, approaches have tended to bealmost exclusively focused on the sea side of bulk terminals. To-date there hasbeen very limited work on land-side approaches to mitigate congestion in bulkterminals. This research aims to address these gaps by considering the effectivenessof multiple congestion management methods across a range of throughputscenarios. This paper develops a discrete event simulation model based on datacollected from an Australian bulk wood chip export maritime terminal and analysesthe effect of infrastructure and process improvements on gate congestionand hinterland logistics chains. The improvements include: variations of terminalconfigurations, a terminal appointment system and gate automation technology.This paper argues that traditional efficiency and utilization measures fail to capturethe impact of these alternatives over the whole hinterland logistics chain.Results indicate that the gate automation technology and the introduction ofan appointment system can reduce average turnaround times by approximately20%. Interestingly additional unloading capacity has a relatively small influence(<10%) on the average turnaround time under the initial truck arrival frequency.Significantly, findings highlight how the range of alternatives that improve efficiencyand utilization can be impaired when organizations do not plan andnegotiate impacts with other terminal users along the hinterland logistics chain.The impact of these alternatives needs to be evaluated in the broader hinterlandperspective to enhance stakeholder ’buy-in’ and resilience over time of solutionsimplemented
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