Airport management is frequently faced with a problem of assigning flights to available stands and parking positions in the most economical way that would comply with airline policies and suffer minimum changes due to any operational disruptions. This work presents a novel approach to the most common airport problem – efficient stand assignment. The described algorithm combines benefits of data-mining and metaheuristic approaches and generates qualitative solutions, aware of delay trends and airport performance perturbations. The presented work provides promising solutions from the starting moments of computation, in addition, it delivers to the airport stakeholders delay-aware stand assignment, and facilitates the estimation of risk and consequences of any operational disruptions on the slot adherence.
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Airport management is often challenged by the task of managing aircraft parking positions most efficiently while complying with environmental regulations and capacity restrictions. Frequently this task is additionally affected by various perturbations, affecting punctuality of airport operations. This paper presents an innovative approach for obtaining an efficient stand assignment considering the stochastic nature of the airport environment and emissions reduction target of the modern air transportation industry. Furthermore, the presented methodology demonstrates how the same procedure of creating a stand assignment can help to identify an emissions mitigation potential. This paper illustrates the application of the presented methodology combined with simulation and demonstrates the impact of the application of Bayesian modeling and metaheuristic optimization for reduction of taxi-related emissions.
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Modern airport management is challenged by the task of operating aircraft parking positions most efficiently while complying with environmental policies, restrictions, schedule disruptions, and capacity limitations. This study proposes a novel framework for the stand allocation problem that uses a divide-and-conquer approach in combination with Bayesian modelling, simulation, and optimisation to produce less-pollutant solutions under realistic conditions. The framework presents three innovative aspects. First, inputs from the stochastic analysis module are used in a multivariate optimisation for generating variability-robust solutions. Second, a combination of optimisation and simulation is used to finely explore the impact of realistic uncertainty uncaptured by the framework. Lastly, the framework considers the role of human beings as the final control of operational conditions. A case study is presented as a proof of concept and demonstrates results achievable and benefits of the framework proposed. The experimental results demonstrate that the framework generates less-pollutant solutions under realistic conditions.
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Assigning gates to flights considering physical, operational, and temporal constraints is known as the Gate Assignment Problem. This article proposes the novelty of coupling a commercial stand and gate allocation software with an off-the-grid optimization algorithm. The software provides the assignment costs, verifies constraints and restrictions of an airport, and provides an initial allocation solution. The gate assignment problem was solved using a genetic algorithm. To improve the robustness of the allocation results, delays and early arrivals are predicted using a random forest regressor, a machine learning technique and in turn they are considered by the optimization algorithm. Weather data and schedules were obtained from Zurich International Airport. Results showed that the combination of the techniques result in more efficient and robust solutions with higher degree of applicability than the one possible with the sole use of them independently.
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Airport management is regularly challenged by the task of assigning flights to existing parking positions in the most efficient way while complying with existing policies, restrictions and capacity limitations. However, such process is frequently disrupted by various events, affecting punctuality of airline operations. This paper describes an innovative approach for obtaining an efficient stand assignment considering the stochastic nature of airport environment. Furthermore, the presented methodology combines benefits of Bayesian modelling and metaheuristics for generating solutions that are more robust to airport flight schedule perturbations. In addition, this paper illustrates that the application of the presented methodology combined with simulation provides a valuable tool for assessing the robustness of the developed stand assignment to flight delays.
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Peer reviewed paper op SEFI Engineering Education congress 2009 In engineering programs an important part of the learning process takes place in practical assignments like capstone projects, internships and co-op assignments in industry. The assignments are very divers. Students have different roles, work in different environments and the learning outcomes are not uniform. So how can the individual learning outcomes or growth competencies of the assignments be determined? To cope with this question the authors developed and implemented a method to monitor and assess the individual learning outcomes of the assignments. The method can be used to match a student to his next assignment in such a way that he can build his individual learning track. The method defines three aspects of an assignment: the role of the engineer (i.e. project leader, designer, researcher), the domain(s) of the assignment (i.e. user interface, software engineering) and a general results matrix that describes results and the level required to produce them. To manage the process learning outcomes are defined as products so project management methods can be used to plan, monitor and assess learning outcomes. Key aspects of the method are: 1. A general results matrix for engineering assignments 2. Learning outcomes that are defined as results in the matrix and these results can be assessed. 3. The results have levels so the learning outcomes can grow during the programme. 4. The method can be used to match, monitor and assess students on one assignment. 5. The method can be used to match, monitor and assess students for the entire programme. 6. The tools that are developed are based on an industry standard for project management.
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Fashion design has rapidly become a digital process where textiles are simulated as soft, conformable materials on a digital body. The embodied experience and physical interaction with the textile have been replaced by screen-based media, resulting in a gap in understanding between physical and digital textile material. Consequently, understanding digitized textile properties and characteristics has become challenging for practitioners. This research investigates fashion designers’ implicit understanding when selecting textiles, specifically how interactions with physical textiles influence design considerations. Twenty digital fashion designers interacted with ten physical textile materials via tangible and scientific drape measurements, reflecting upon their design considerations. In digital environments, a tangible understanding of material properties is vital, and scientific drape measurements add significant understanding to digital design. The research advances our understanding of integrating digital tools in textile and soft material practices, where a postphenomenological approach is employed to help formulate the design considerations in selecting materials.
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Abstract Educational escape rooms (EERs) are live-action, team-based games used to teach content-related and generic knowledge and skills. Instead of students just playing the EER, we believed that giving them the opportunity to create their own EERs would augment the learning efects of this teaching method. We report on the feasibility, evaluation, and lessons learned of our assignment on an opioid epidemic-based EER. This original teaching method appealed to most students, but the workload was evaluated to be too high. Our lessons learned include the need for sufcient (extrinsic) motivation, careful explanation of the assignment, and small group sizes.
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At the end of January 2015 I was given a research assignment formulated and sponsored by two professors of professorships (hereafter lectoraten) associated with the Academy for Social Studies (SASS), and the manager of Professionals and Bedrijven (hereafter P&B). At a later stage, the research was expanded by the sponsorship of the educational managers of the bachelor and master studies of SPH and MWD. It is a complex assignment with several research perspectives and aims. The main goal was to find out how to make better use of the products of the lectoraten for educational purposes. This umbrella goal included many subordinate aims. One aim concerned identifying the products and prioritizing them according to the educational demands of clients in the field and of teachers of the SASS educational programmes. Another aim was to demonstrate which skills the teachers who develop educational materials need to have and to identify steps necessary to adapt the products. Yet another aim consisted of finding better ways for knowledge to circulate between the lectoraten and the teaching staff of SASS. Finally advising the staff of P & B on marketing and communications in relation to the products of the lectoraten was aimed at. Overview of the reportAs stated, there are multiple assignment-givers (hereafter sponsors). In the first section the general societal context which triggered the assignment has been sketched but contextual aspects related to each of the sponsors have also been identified (in Appendix 1). The individual contexts of sponsors were important because, although they agreed on the broad aims of the assignment, they naturally have specific expectations of the results based on their particular situations. After the background sketch, seven sub-tasks given by the sponsors have been turned into subordinate - research and consultation questions. The second section describes the methods used and measures taken to obtain findings. This includes an identification of the inventory structure, actors involved both intramurally and extramurally (the stakeholders). Next, a Delphi method for developing a profile of learner needs and a list of topics of products is described.In the third section, findings are set out in relation to the 7 sub-research and consultation questions. Some discussion and concluding remarks are given for most of the seven questions. The findings are written in English but most of the quotations from respondents have not been translated so they appear in Dutch. Section four summarises these findings in a compact manner since there were conclusions throughout the findings. Section five offers recommendations in Dutch. Attention is given to the different emphases of the sponsors in the details of recommendations. Please note that many end notes and appendices are offered for further reading since some of the approaches mentioned in the text may be unfamiliar to some readers. A word about terms Both Dutch and English employ a variety of terms to identify the provision (aanbod) of learning for adults in working environments and to identify the learning activities or programmes. This can be confusing but is, unfortunately, unavoidable. In Dutch, the terms ‘deskundigheidsbevordering, nascholing, bijscholing’ and ‘trainingsaanbod’ or occasionally ‘professionalisering’ are all used to indicate what in English is called ‘professional development’ (often abbreviated to PD) or ‘staff development’ or, recently, ‘professionalisation’ The typical Dutch use of the term ‘training’ for almost all stypes of learning activities has a somewhat more restricted meaning in English. Educational activities are often referred to as ‘learning trajectories’; ‘ learning opportunities’ or ‘interventions’ as well as, less commonly, ‘training sessions’ or ‘workshops’. All of the English terms are employed throughout this report. The most commonly used are ‘professionalisation’ or ‘PD’ for the provision and ‘interventions’ to indicate specific educational programmes or activities.
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This case study describes a special edition of the European Project Semester at the course Sustainable Packaging Design and Innovation at the Faculty of Industrial Design Engineering at The Hague University of Applied Sciences (Fall Semester 2017). In this special edition, unique cooperation took place between 12 parties. The parties were three research institutes, six universities, and three companies. Some parties have developed an educational module focused upon sustainable and circular packaging design, including the use of a dedicated tool for life cycle assessment. This module was embedded in the regular EPS. At The Hague University of Applied Sciences, an international class of 16 students worked in four teams on a real-life design assignment. They were offered a wide range of lectures, workshops, pitches, and presentations. The chapter concludes with a review of the followed processes and organizational, managerial, and practical concerns. Although run as a unique edition, all parties discuss to continue this cooperation.
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