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126 records from EconBiz based on author Name
1. Demurrage and detention : from operational challenges towards solutions
abstractReduced free time and increased fees for demurrage and detention create organizational challenges with respect to intermodal transport. As a result, actors within the maritime supply chains are confronted with greater complexity and higher risk of costs; and, therefore, often fall back on transportation by truck to and from the hinterland. That is why the present research examines the impact of this evolution on the bottom line of the involved actors from a maritime supply chain perspective. The research approach consists of reviewing the relevant literature, analyzing the available sector data obtained through interviews and professional experience, and validating the proposed solutions. Starting from the research results, the problem-solving discussions resulted in the following top three as feasible solutions: digitalization, extra 'free time' for hinterland locations, and more attention during the negotiation process.
Storms, Katrien; Sys, Christa; Vanelslander, Thierry; Deuren, Ruben van;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 2. Economic assessment of transporting refrigerated cargo between West-Africa and Europe : a chain cost analysis approach
abstractDetermining which ports to call at in a maritime loop is considered as an important determinant factor for shipping companies which impacts not only on efficiency, and productivity but also on transportation costs. The port selection process becomes more challenging and sensitive if the market is for perishable goods such as fruits and vegetables. Specifically, this paper aims to develop an efficient maritime supply chain for reefer cargo. A case study of refrigerated cargo trade between West-Africa and West-Europe is investigated for which the main objective is to minimize the trade route's supply chain costs. To do so, the paper analyzes various scenarios based upon the different types of cargo (transshipment and non-transshipment), commodity types (dry and reefer), and a combination of different (un)loading ports in and the Rotterdam-Gibraltar range. Four African ports, namely Tema (Ghana), Douala (Cameroon), Abidjan (Ivory Coast), and Dakar (Senegal), are considered for the outbound leg (Africa-Europe), while several ports in the E.U. and the U.K. are selected as inbound leg. The analysis is initiated by applying a data-gathering strategy to get the relevant container flow from European ports to West-African ports. Then, a chain cost modelling approach is used to determine what the sailing schedule of the vessel should be. By performing the import/export cargo volume and maritime and supply chain costs are calculated, which can be used by the involved stakeholders to decide which ports are the best to call on a specific route.
Mohseni, Seyed Abolfazl; Sys, Christa; Vanelslander, Thierry; Van Hassel, Edwin;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 3. Automation in cargo loading/unloading processes : do unmanned loading technologies bring benefits when both purchase and operational cost are considered?
abstractThe use of technologies that automate handling goods and loading units in warehouses and depots is not new. Yet, the purchase process of these technologies issues troubles and the estimation of the economic advantages brought by one or another technology to the entire chain of operations in logistics are not always known. Faults or not documented decisions put pressure on managers and prices for services. They can cause a drop in the competitiveness of warehouse operators, particularly in uncertain conditions. Academia documented the cost of warehouse storage well. Yet, little research has looked into the economic justification of implementing automatic systems for loading or unloading activities and the impact on complementary operations. For this reason, a model is needed to calculate the cost of operations when different technical equipment is used. This research further investigates the cost categories that must be considered when purchasing automated loading/unloading technologies. The model includes the purchase and operational loading costs that new technologies generate and the cost of adjacent operations to loading activity. The case study uses forklifts as the reference scenario and provides an overview of the return on investment and a break-even period when other technologies are in use. The calculation model shows that increasing cargo volume leads to a better RoI. The same observation is also made regarding the rise in labour costs. For the latter, using human operators to handle pallets on a one-by-one basis generates an exponential increase in operational cost due to delays and faults. On the other side, the cost of implementing automated loading/unloading technologies and the consideration of technology risk determine the low economic advantages. An in-depth cost and benefit analysis shows in which situation a technology generates greater benefits. Further results of this paper show that better use of trucks' loading capacity can positively impact the financial performance of automated loading technologies, as a higher volume of cargo is moved (at once) without human intervention.
Carlan, Valentin; Ceulemans, David; Van Hassel, Edwin; Derammelaere, Stijn; Vanelslander, Thierry;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 4. Designing a survey framework to collect port stakeholders' insight regarding AI implementation : results from the Flemish context
abstractToday, several research/initiatives exist in AI technology at the port operation. They mainly focus on solution development in a particular port and shipping industry domain. This scattered implementation leads to an unstructured overview of the port sector regarding AI innovation in use. Equally, this study aims to structure this overview for aligning stakeholders and AI providers toward implementation. In doing so, the first step would be collecting the port stakeholders' insight regarding AI implementation. This study develops a structured framework to collect the port stakeholders' insight through both desk and empirical research. Besides, an online survey is built based on the framework and sent to a target group of port stakeholders to collect their insight. The survey results show that a huge effort is needed to establish a structure for data exchange to increase the quality of data. Additionally, by highlighting the importance of data from specific stakeholders, developers can effectively convey the value proposition to these stakeholders. They can emphasize how utilizing this vital data can result in operational enhancements, cost reductions, improved decision-making, and competitive advantages. As an implication, alignment between port stakeholders and AI providers enhances the maturity level of the market in AI solutions by fostering collaboration, addressing industry-specific challenges, tailoring solutions, and garnering support for implementation.
Farzadmehr, Mehran; Carlan, Valentin; Vanelslander, Thierry;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 5. Contemporary challenges and AI solutions in port operations : applying Gale-Shapley algorithm to find best matches
abstractArtificial intelligence (AI) developments enable human capability to deliver the same outcome at a lower cost. This research performs a high-level matching between AI solutions and challenges within the port area by developing a novel academic approach. This way, the matching is carried out more structured than when one (manager, developer, challenge owner, etc.) fulfils it based on their opinion without following any structured approach. Therefore, the study defines first a comprehensive typology of port stakeholders' challenges, which can be solved via AI solutions. This typology presents challenges, including their main issues, widespread impact, and potential solutions. A state-of-the-art review of AI solutions that can address these challenges is carried out in parallel. Secondly, this review clearly distinguishes between AI solutions based on their technology and functionality. Thirdly, this research selects an appropriate AI solution for addressing each identified challenge in the port operation by upgrading the Gale-Shapley algorithm. Finally, it shows that the most critical presented AI solutions in this study use various machine learning (ML) techniques. Besides, concerning the AI solution's reusability feature and the result of high-level matching, this research shows that the implementation phase effort can be drastically reduced by using the recently developed matching algorithm.
Farzadmehr, Mehran; Carlan, Valentin; Vanelslander, Thierry;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 6. Synchromodal transport vs. conventional hinterland transport : a stakeholder theory analysis
Ceulemans, Emma; Cardenas, Ivan; Van Hassel, Edwin; Vanelslander, Thierry;2025
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link
7. Innovation and labor in the port industry : a comparison between Genoa and Antwerp
Bottalico, Andrea; Vanelslander, Thierry; Verhoeven, Patrick;2022
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link
Citations: 2 (based on OpenCitations)
8. A qualitative assessment tool for innovative waste logistics scenarios : a case study for Flanders
abstractWith new, innovative logistics tools and frameworks coming to the market rather quickly, developing a decision support framework to assess its value before carrying out extensive, quantitative economic assessment studies and large-scale implementation is necessary. This paper focuses on developing a qualitative decision support framework-aiding the deployment of successful tools in the logistics landscape and avoiding high sunk costs without added value. Resulting in a qualitative tool based on a literature review and industry expert interviews. The derived parameter impact model assesses the importance of different parameters, allowing to find opportunities without the need for extensive information and/or investments. Therefore, the parameter impact model was applied to three different cases of waste logistics located in Flanders: (1) the use of telemetry (i.e., the use of sensors to identify the filling rate of waste collection points remotely), (2) small waste compactors on the business side, and (3) inland waterways to transport waste to treatment centers. The qualitative results can vary depending on the specific case, establishing the fundament for future innovations.
Willems, Jeffrey; Pauwels, Tom; Van Hassel, Edwin; Vanelslander, Thierry; Sel, Steve;2022
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link 9. Assessing Inland Waterway Transport (IWT) container logistics on the Rhine Alpine corridor : a discrete event simulation approach
Shobayo, Peter; Bedoya-Maya, Felipe; Van Hassel, Edwin; Vanelslander, Thierry; Christopoulou, Eva; Majoor, Ivo;2024
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link
10. Container barge (un)reliability in seaports : a company case study at the port of Antwerp
Oganesian, Virzhiniia; Sys, Christa; Vanelslander, Thierry; Van Hassel, Edwin;2021
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link