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.
The Hospitality, Tourism, Innovation & Technology Experts Network (HTIT-EN) is a pivotal initiative aimed at unlocking societal impact potential. The Dutch hospitality and tourism sector, which employs over half a million individuals and annually hosts more than 40 million guests, ranks as the Netherlands’ 8th largest economic sector. However, this sector faces numerous challenges, including the uncertain impact of emerging technologies and issues such as unethical behavior, workforce attrition, and staff shortages, which have been exacerbated by the COVID-19 pandemic. The advent of emerging technologies like service robots, immersive experiences, and artificial intelligence has brought the sector to a critical juncture. These innovations pose significant disruptions, challenging the traditional concept of hospitality and questioning the positive societal impact in terms of ethical considerations, inclusivity, affordability, and data privacy.Strategically positioned to address these challenges, HTIT-EN focuses on leveraging emerging technologies to create impactful scenarios and shape the future of hospitality and tourism. Our motivation stems from the sector’s societal importance and its continuous influence on our daily lives. By harnessing technology and innovation, we aim to tackle industry-specific issues and extend the positive societal impact to related human-centered service industries.The overarching mission of HTIT-EN is to empower the Dutch Hospitality and Tourism sector to serve as a driving force for technology-enabled societal impact. The primary objective is to align research activities and promote collaboration. Key objectives include bringing together leading professors specializing in technology-driven impact within the hospitality and tourism sector, initiating research projects in line with a shared research agenda and in collaboration with local and international industry partners, and collaboratively developing expertise in emerging technologies that empower the role of hospitality and tourism as catalysts for societal impact. This endeavor contributes to the development and acceleration of the Knowledge and Innovation Agenda (KIA) ‘Key technologies’ & ‘Digitalization’. The aim is to foster an excellent reputation for Dutch hospitality and tourism as a global leader in technology-driven societal impact.We have strong support from CELTH, the Centre of Expertise within the domain of leisure, tourism and hospitality for the overall ambitions of the research project.Societal issueThe HTIT-EN project bridges societal importance and cross-cutting issues in the tourism and hospitality sectors. It’s fueled by the ambition to leverage emerging technologies to tackle industry-specific challenges, including knowledge and skills gaps, labor shortages and replacements, and evolving consumer expectations.Benefit to societyThe platform brings together professors and researchers from MBO, HBO and WO knowledge institutes as well as diverse set of professional partners to stimulate collaboration, align research lines and establish joint a joint research agenda on how technology-driven impact may become a catalyst within hospitality and tourism.
De horeca-sector en het toerisme worden zwaar getroffen door de huidige crisis. Omzetschade is historisch groot; tegelijkertijd zijn er vanuit de praktijk veel vragen over hoe nieuwe werkwijzen moeten worden ontwikkeld en toegepast. Voor onze sector voorziet onderzoek in het kader van de Impuls-regeling daarom onmiskenbaar in een grote maatschappelijke behoefte. Hotelschool The Hague (HTH) zet strategisch in op het behoud en de versterking van praktijkgericht onderzoek en op het onderzoekend vermogen van haar studenten. Onderzoekend vermogen is, voor toekomstige afstudeerders in een snel veranderende arbeidsmarkt, door de HTH gedefinieerd als cruciale kernvaardigheid. In dit kader zijn recent de onderwijs- en onderzoeksprogramma’s van de HTH hervormd rond de principes van Design Oriented Research. Door de COVID-19 crisis is de continuïteit van het praktijkgericht onderzoek van de HTH, misschien nog wel meer dan bij brede hogescholen onder druk komen te staan. Met het hier voorgestelde Impuls 2020 bestedingsplan wil HTH de onderzoeksfunctie van haar praktische outlets — haar schoolrestaurants en -hotels— verder versterken zodat deze kunnen worden ingericht en gebruikt als ‘test-beds’ of HTH Labs. De schoolrestaurants en -hotels worden hiermee een faciliteit voor experimenteel, praktijkgericht onderzoek waar in commerciële bedrijven vaak geen mogelijkheid voor is. Dit Impuls 2020 voorstel behelst de visievorming voor de HTH Labs en de netwerkvorming met andere kennisinstellingen en met bedrijven als beoogde afnemers van de kennis die in de Labs ontwikkeld zal worden. Het voorstel voorziet tevens in de uitvoering van 3 pilotstudies die de mogelijkheden van de HTH Labs inzichtelijk maken voor het bedrijfsleven. De Impuls financiering zal uiteindelijk resulteren in een operationele onderzoeksfaciliteit in de schoolrestaurants en -hotels van de HTH, en in drie onderzoeksrapporten met bijbehorende disseminatie-activiteiten.
Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes. At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain. The consortium for this project consists of Breda University of Applied Sciences (BUas), Logistics Community Brabant (LCB), Transport en Logistiek Nederland (TLN), Logistiek Digitaal, Kennis Transport, Smink and Devoteam. Together, the partners will develop a tool to benchmark SMEs’ progress towards developing data analytic capability that enhances the reliability of their supply chain. Interviews will be conducted with various actors of the supply chain to identify the enablers and inhibitors of using data analytics across the supply chain. Finally, the findings will be used to conduct action research with the two SMEs partners, Kennis and Smink to identify which technological tools and processes companies need to adopt to develop the use of data analytics to enhance their resilience in case of disruptions.
