Improving Port Terminal Operations through Information Sharing

Olesen, Peter Bjerg; Dukovska‐Popovska, Iskra; Hvolby, Hans‐Henrik

doi:10.1007/978-3-642-40361-3_84

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…The third most important functionality in a TOS is the development of loading lists for terminal operators with information about the cargo to be loaded/unloaded, including information about its location. In line with this, Olesen et al (2013) highlighted in their study that a lack of information is the main reason for not making a good plan and that waiting time reduction, storage improvements, and reworking activities cannot be done efficiently without having all the necessary information on time [69].…”

Section: Discussionmentioning

confidence: 89%

Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)

Hervás-Peralta¹,

Poveda-Reyes²,

Molero³

et al. 2019

Sustainability

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Maritime transport in the European Union has increased in the last years, triggering congestion in many of the most important sea and river ports. A lot of works have highlighted how the connection between these ports and dry ports can contribute to reducing port congestion and emission of greenhouse gases (GHGs). This work aims to improve the knowledge about the functionalities of Terminal Operating Systems (TOSs) managing container terminals of sea, river, and dry ports, with the aim of improving their performance and contributing to reducing congestion and GHG emissions to achieve a higher sustainability. The contribution and novelty of this paper in the field of container-terminals logistics research is the use of the Analytic Hierarchy Process (AHP) to identify and hierarchize TOS functionalities. The robustness of the model was checked by applying a sensitivity analysis. One hundred and seven functionalities were grouped into six main clusters: Warehouse, Maritime Operations, Gate, Master Data, Communications, and ERP (Enterprise Resource Planning) Dashboard. The results show that time tracking of vessels, space optimization, development of loading and unloading lists, and optimization of container locations are the most important functionalities of a TOS. This work is addressed to developers, sellers, managers, and users of TOSs and researchers working on container-terminal performance.

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Section: Discussionmentioning

confidence: 89%

Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)

Hervás-Peralta¹,

Poveda-Reyes²,

Molero³

et al. 2019

Sustainability

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“…Compared to other solutions, our workflow does not use gear/logbook data and spatially explicit catch information from Regional Fisheries Management Organizations (RFMO) (Palmer and Wigley, 2009;Lee et al, 2010;Gerritsen and Lordan, 2011;Olesen et al, 2012;Muench et al, 2018;Roberson et al, 2019;Burns et al, 2023). This information would likely increase our workflow accuracy in identifying unreported fishing activity hotspots.…”

Section: Discussionmentioning

confidence: 99%

“…Integrating vessel-transmitted data with gear, logbook, and port information can enhance the precision of fishing activity detection (Kia et al, 2000;Davis, 2001;Palmer and Wigley, 2009;Lee et al, 2010;Gerritsen and Lordan, 2011;Olesen et al, 2012;Shaw et al, 2017;Muench et al, 2018;Roberson et al, 2019). However, integration is rarely possible for extensive data collections containing anonymous data or involving vessels coming from far ports and different nations.…”

Section: Introductionmentioning

confidence: 99%

Estimating hidden fishing activity hotspots from vessel transmitted data

Coro,

Sana,

Ferrà

et al. 2023

Front. Sustain. Food Syst.

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Monitoring fishery activity is essential for resource planning and guaranteeing fisheries sustainability. Large fishing vessels constantly and continuously communicate their positions via Automatic Identification System (AIS) or Vessel Monitoring Systems (VMSs). These systems can use radio or Global Positioning System (GPS) devices to transmit data. Processing and integrating these big data with other fisheries data allows for exploring the relations between socio-economic and ecosystem assets in marine areas, which is fundamental in fishery monitoring. In this context, estimating actual fishing activity from time series of AIS and VMS data would enhance the correct identification of fishing activity patterns and help assess regulations' effectiveness. However, these data might contain gaps because of technical issues such as limited coverage of the terrestrial receivers or saturated transmission bands. Other sources of data gaps are adverse meteorological conditions and voluntary switch-offs. Gaps may also include hidden (unreported) fishing activity whose quantification would improve actual fishing activity estimation. This paper presents a workflow for AIS/VMS big-data analysis that estimates potential unreported fishing activity hotspots in a marine area. The workflow uses a statistical spatial analysis over vessel speeds and coordinates and a multi-source data integration approach that can work on multiple areas and multiple analysis scales. Specifically, it (i) estimates fishing activity locations and rebuilds data gaps, (ii) estimates the potential unreported fishing hour distribution and the unreported-over-total ratio of fishing hours at a 0.01° spatial resolution, (iii) identifies potential unreported fishing activity hotspots, (iv) extracts the stocks involved in these hotspots (using global-scale repositories of stock and species observation data) and raises an alert about their possible endangered, threatened, and protected (ETP) status. The workflow is also a free-to-use Web Service running on an open science-compliant cloud computing platform with a Web Processing Service (WPS) standard interface, allowing efficient big data processing. As a study case, we focussed on the Adriatic Sea. We reconstructed the monthly reported and potential unreported trawling activity in 2019, using terrestrial AIS data with a 5-min sampling period, containing ~50 million records transmitted by ~1,600 vessels. The results highlight that the unreported fishing activity hotspots especially impacted Italian coasts and some forbidden and protected areas. The potential unreported activity involved 33 stocks, four of which were ETP species in the basin. The extracted information agreed with expert studies, and the estimated trawling patterns agreed with those produced by the Global Fishing Watch.

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“…Authors of the reference [40], based on the reliable literature basis, are pointing out that ports develop in an evolutionary rather than a revolutionary way and that the political dimension can also play an important role in port evolutionary paths. Reference [41] examines a group of models from the port development literature and proposes an approach for modelling the strategic development of a port's collaboration with local operators and the local hinterland. By the reference [42] are considered some basic perspectives for the development of the ports respecting necessity of their adaptation to actual port development trends.…”

Section: Introductionmentioning

confidence: 99%

Prioritizing Port`s Development Directions By Analytic Hierarchy Process Method

Delovic

2023

J Civ Eng Res Technol

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Ports are no longer the simple maritime services providers of the past. They are multimodal transport and logistics centres and hubs for sustainable industry and clean energy. The transition to sustainable ports, digital nodes, and energy hubs requires the radical system-led changes in the ports based on new knowledge and innovation. After a theoretical analysis of port development trends and management models used in the port development process, in this paper is proposed an approach for selecting port development priorities for the future ten years period, based on Analytic Hierarchy Process (AHP) method. Three potential development scenarios are analyzed and evaluated based on following three selection criteria: level of revenue/profit, level of productivity, contribution to safety/security/ environmental protection in the port. AHP Hierarchy framework used was a three level model: “level 0” – goal; “level 1” – criterion; “level 2” – choice. Results of research shown that the optimal development senario is “Scenario 1”, which includes: optimizing utilization rate of existing capacity; optimizing port safety and security; optimizing environmental protection in the port; investing in keeping existing capacity unchanged, with priority investments in building new objects of port superstructure and improvements in cargo handling technologies, in accordance with concrete customer demands; introducing elements of circular economy; Results of the research can be used for prioritizing port development actions and can be taken as a realiable bases of the author`s further reaserches in this domain. Object of the research is the Port of Bar (Montenegro).

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Improving Port Terminal Operations through Information Sharing

Cited by 5 publications

References 12 publications

Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)

Improving the Performance of Dry and Maritime Ports by Increasing Knowledge about the Most Relevant Functionalities of the Terminal Operating System (TOS)

Estimating hidden fishing activity hotspots from vessel transmitted data

Prioritizing Port`s Development Directions By Analytic Hierarchy Process Method

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