The planning and design of an inland container terminal is a complex task due to many interrelated design parameters and interdependent stakeholders. Design tools may support the optimization of technical, economic and logistical values, but this optimization is strongly inhibited by conflicting interests, political and environmental boundaries and strategic stakeholder behavior. The main research question in this contribution is: how can visualization-simulation tools be used in an early stage of complex inter-organizational decision-making on infrastructures in such a way that it enhances the quality and progress of this decision-making? A collaborative design environment was developed for the early phase of inter-organizational decision-making. In the gaming-simulation 'containers a drift', a number of public and private stakeholders try to reach initial agreement on an inland container terminal. A team of process-managers facilitate a collaborative design process and set up a number of ground rules for negotiation. A visualization-simulation tool is used to explore the various technical, economic, political and spatial issues. While negotiating on issues such as location and size of the terminal, small groups of stakeholders interactively draw several terminal layouts. Logistical and economic data, e.g., on ships, containers and costs are entered in a database. The terminal's performance and its dynamic behavior is simulated and assessed. The game was played in three sessions with a total number of 77 students. The evaluation results indicate that the various tools are easy to work with, greatly contribute to the quality and process of negotiation and generate mutual understanding.
In this paper we propose a novel approach for validating a simulation model for a passengers' airport terminal. The validation approach is based on a "historical data" and "model-to-model" validation approach, and the novelty is represented by the fact that the model used as comparison uses historical data from different data sources and technologies. The proposed validation approach , which is presented as part of the IMHOTEP project, implements various data fusion and data analytics methods to generate the passenger "Activity-Travel-Diary", which is the model that is then compared with the results from the simulation model. The data used for developing the "Activity-Travel-Diary" comes from different sources and technologies such as: passengers data (personal mobile phone, apps), airport data (airport Wi-Fi, GPS, scanning facilities), and flight Information (flight schedules, gate allocation etc.). The simulation model is based on an agent-based simulation paradigm and includes all the passengers flows and operations within a terminal airport. The proposed validation approach is implemented in a real-life case study, Palma de Mallorca Airport, and preliminary results of the validation (calibration) process of the simulation model are presented.
Airport operations are undergoing significant change, having to meet pandemic requirements in addition to intrinsic security requirements. Although air traffic has declined massively, airports are still the critical hubs of the air transport network. The new restrictions due to the COVID-19 pandemic pose new challenges for airport operators in redesigning airport terminals and managing passenger flows. To evaluate the impact of COVID-19 restrictions, we implement a reference airport environment. In this Airport in the Lab environment we will demonstrate the operational consequences derived from the new operational requirements. In addition, countermeasures to mitigate any negative impacts of these changes are tested. The results highlight emerging issues that the airport will most likely face and possible solutions. Finally, we could apply the findings and lessons learned from our testing at our reference airport to a real airport.
Het project DALLAS onderzoekt de meerwaarde van intelligente dolly's in de behandeling van container transport, binnen een terminal omgeving. Een dolly is een voertuig dat gebruikt wordt voor koppeling van vrachtwagen en oplegger. Vaak zijn die dolly's conventioneel en dienen ze alleen voor de verbinding. Een intelligente dolly kan zelf aandrijven (per wiel), remmen, en sturen, Daarmee biedt het potentieel voordelen t.a.v. doorlooptijd, kosten, veiligheid, service en duurzaamheid. Het gaat om een eerste fase (voorstudie) als voorbereiding op een vervolgproject waarin een prototype wordt voorzien ter validatie van de praktische haalbaarheid. Het voorstel tot een vervolgproject is resultaat van dit RAAK-KIEM project. Deze fase resulteert in het voorstel tot een vervolgproject DALLAS ll. De analyse zal gericht zijn op verkenning t.a.v. haalbare kostenbesparing, tijdswinst, capaciteitsbenutting en logistieke stroom, flexibiliteit, serviceniveau, naast maatschappelijke incentives als hogere veiligheid en lagere emissies. Gebruik van dolly's voor voertuigcombinaties leidt tot eisen aan de besturing en eigen aandrijving (per wiel, naast intelligente remaansturing) om te komen tot acceptabele (wettelijk bepaalde) manoeuvreerbaarheid en stabiliteit. De performance dient dus beheersbaar te worden beïnvloed. Deze aspecten worden ook in de studie meegenomen. DALLAS benadert de haalbaarheid vanuit een logistieke context en vanuit het technische ontwerp, met steeds aandacht voor performance eisen (KPl's, technische ontwikkelingen, representatieve logistieke gebruikscondities), het ontwerp (dolly, logistieke proces), validatie (vooral in interactie met de markt), en de bijdrage aan het beoogde demonstrator projectvoorstel (DALLAS-Il). Binnen DALLAS zal gebruik worden gemaakt van een testomgeving op schaal, eerder ontwikkeld door de Hogeschool van Arnhem en Nijmegen in nauwe samenwerking met de TU/e, Juist die koppeling van techniek met de logistieke context wordt door het bedrijfsleven gewaardeerd, omdat dat vaak ontbreekt.
Economic and environmental sustainability are the two main drivers behind today’s logistics innovation. On the one hand, Industry 4.0 technologies are leading towards self-organizing logistics by enabling autonomous vehicles, which can significantly make logistics transport efficient. Detailed impact analysis of autonomous vehicles in repetitive, short-distance inter-hub transport in logistics hubs like XL Business park is presently being investigated in KIEM project STEERS. On the other hand, the zero-emission technology (such as battery electric) can complement the autonomous logistics transport in making such a logistics hub climate-neutral. In such a scenario, an automatic vehicle charging environment (i.e., charging infrastructure and energy supply) for autonomous electric vehicles will play a crucial role in maximizing the overall operational efficiency and sustainability by reducing the average idle time of both vehicles and charging infrastructure. The project INGENIOUS explores an innovative idea for presenting a sustainable and environment-friendly solution for meeting the energy demand and supply for autonomous electric vehicles in a logistics hub. It will develop and propose an intelligent charging environment for operating autonomous electric vehicles in XL Business park by considering its real-life settings and operational demand. The project combines the knowledge of education and research institutes (Hogeschool van Arnhem en Nijmegen and The University of Twente), industry partners (HyET Solar Netherlands BV, Distribute, Bolk Container Transport and Combi Terminal Twente), and public institutes (XL Business Park, Port of Twente, Regio Twente and Industriepark Kleefse Waard). The project results will form a sound basis for developing a real-life demonstrator in the XL Business park in the subsequent RAAK Pro SAVED project. A detailed case study for Industriepark Kleefse Waard will also be carried out to showcase the broader applicability of the INGENIOUS concept.
An efficient and sustainable logistics process is essential for logistics companies to remain competitive and to manage the dynamic demands and service requirements. Specifically, the first- and last-mile hub-to-hub (inter) logistics is one of the most difficult operations to manage due to low volumes, repetitive operation and short-distance transport, and relatively high waiting times. With the advancements in Industry 4.0 technologies (Internet of Things, Big Data, Cloud computing, Artificial Intelligence), the consortium partners expect that the intelligent and connected technology is a viable solution to improve operational efficiency, coordination, and sustainability of this inter-hub logistics. Despite the promising potential, the impact of technology on inter- and intra-hub (inside hub) logistics operations (such as transportation, communication, and planning) is not well-established. The focus of STEERS is to explore the real-life challenges associated with the logistics operation in a small-to-medium size logistics hub and investigate the potential of intelligent and connected technology to address such challenges. This project will investigate the requirements for the application of automated vehicles in inter-hub transportation and simultaneously explore the potential of intelligent inter-hub corridors. Additionally, inter-hub communications will also provide the opportunity to explore their potential impact on the planning and coordination of intra-hub activities, with an explicit focus on the changing role of human planners. It combines the knowledge of education and research institutes (Hogeschool van Arnhem en Nijmegen, The University of Twente and Hogeschool Rotterdam), logistics industry partners (Bolk Container Transport and Combi Terminal Twente) and public institutes (XL Business Park, Port of Twente and Regio Twente). The insights obtained in this exploratory study will serve as a foundation for the follow-up RAAK-PRO project, in which real-world demonstrators will be developed and tested inside XL Business Park.
