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In Spanish.

Corporate Recruiters and Alumni: Perceptions of Professional Courses

Corporate recruiters and alumni of the School of Hotel and Restaurant Management at Northern Arizona University were asked their perceptions of hospitality professional courses. The study investigates the importance that these groups attribute to 22 professional courses commonly offered in institutions of higher education.

Leadership in the Hospitality Curriculum

Although some universities have introduced leadership courses in their curricula, schools of hotel and restaurant management are not following suit. As the industry's rate of growth and complexity outpaces that of its human resources, the formation of hospitality leaders becomes indispensable.

Web-Based Training for Native American Tribes

The authors describe a project undertaken at the School of Hotel and Restaurant Management at Northern Arizona University in which the internet is used to present Native American tribes in Arizona with customer service training. It discusses why the project was instigated looks at its development and funding, and highlights the educational and technological challenges that had to be overcome. This is the second in a series of articles on the uses of the internet in educating non-university student constituencies interested in hospitality management.'

A study of the impact of field experience in hospitality education

The purpose of this study was to find out the impact of field experience in hospitality education and whether such field experience and others such as semi-practicum, the cooperative, and the work study programs will not play an important role of a closer alliance between the academic and the hospitality industry. II. If it is justifiable to say that it is possible to provide field experience which will enhance the professionally oriented course work, while educators and employers strive to design curriculum that is needed to meet the educational and the industry demands and goals.

SISTEMA DE INFORMACIÓN GEOGRÁFICA PARA LA GESTIÓN DE RECURSOS HÍDRICOS

Este artículo describe la puesta en funcionamiento de una herramienta de información geográfica para la gestión y planificación de recursos hídricos de Cataluña desarrollada mediante plataformas OpenSource. Esta herramienta ha de permitir responder a sucesos extremos como la sequía, facilitando de manera intuitiva y rápida elementos de  evaluación y toma de decisiones. Este Sistema de Información Geográfica (SIG) de gestión de los recursos hídricos se ha  desarrollado para obtener resultados a medida del cliente. Su interfaz ágil y sencilla, su capacidad multiusuario, su alto  rendimiento y escalabilidad y la ausencia de costes de licencia hacen que, con una inversión limitada, se obtenga una amortización muy rápida. Cabe destacar la automatización de procesos sistemáticos, geoprocesos y análisis multicriterio definidos por el cliente, que le permiten ahorrar tiempo y recursos, así como aumentar la productividad.Palabras clave: Sistema de Información Geográfica (SIG), acceso abierto, gestión, agua, automatizaciónAbstractThis article describes the implementation of a geographical information tool developed on an OpenSource platform for the management and planning of water resources in Catalonia. This Geographic Information System (GIS) is designed to deliver fast and intuitive evaluation and decision making criteria in response to extreme events, such as drought. Its strong customization, user friendliness, multiuser capability, performance and scalability, together with its license-free condition, allow for an extremely fast return on investment. The embedded automation of user-defined systemic processes, geo-processes and multi-criteria analyses provide significant time and resource savings and productivity Key Words: Geographic Information System (GIS), Open Source, water supply management, automation

An initial technology roadmap for home automation : home and personal life management

Home Automation (HA) has emerged as a prominent ¯eld for researchers and in- vestors confronting the challenge of penetrating the average home user market with products and services emerging from technology based vision. In spite of many technology contri- butions, there is a latent demand for a®ordable and pragmatic assistive technologies for pro-active handling of complex lifestyle related problems faced by home users. This study has pioneered to develop an Initial Technology Roadmap for HA (ITRHA) that formulates a need based vision of 10-15 years, identifying market, product and technology investment opportunities, focusing on those aspects of HA contributing to e±cient management of home and personal life. The concept of Family Life Cycle is developed to understand the temporal needs of family. In order to formally describe a coherent set of family processes, their relationships, and interaction with external elements, a reference model named Fam- ily System is established that identi¯es External Entities, 7 major Family Processes, and 7 subsystems-Finance, Meals, Health, Education, Career, Housing, and Socialisation. Anal- ysis of these subsystems reveals Soft, Hard and Hybrid processes. Rectifying the lack of formal methods for eliciting future user requirements and reassessing evolving market needs, this study has developed a novel method called Requirement Elicitation of Future Users by Systems Scenario (REFUSS), integrating process modelling, and scenario technique within the framework of roadmapping. The REFUSS is used to systematically derive process au- tomation needs relating the process knowledge to future user characteristics identi¯ed from scenarios created to visualise di®erent futures with richly detailed information on lifestyle trends thus enabling learning about the future requirements. Revealing an addressable market size estimate of billions of dollars per annum this research has developed innovative ideas on software based products including Document Management Systems facilitating automated collection, easy retrieval of all documents, In- formation Management System automating information services and Ubiquitous Intelligent System empowering the highly mobile home users with ambient intelligence. Other product ideas include robotic devices of versatile Kitchen Hand and Cleaner Arm that can be time saving. Materialisation of these products require technology investment initiating further research in areas of data extraction, and information integration as well as manipulation and perception, sensor actuator system, tactile sensing, odour detection, and robotic controller. This study recommends new policies on electronic data delivery from service providers as well as new standards on XML based document structure and format.

Modelling and execution of asset management process via workflow automation

An Asset Management (AM) life-cycle constitutes a set of processes that align with the development, operation and maintenance of assets, in order to meet the desired requirements and objectives of the stake holders of the business. The scope of AM is often broad within an organization due to the interactions between its internal elements such as human resources, finance, technology, engineering operation, information technology and management, as well as external elements such as governance and environment. Due to the complexity of the AM processes, it has been proposed that in order to optimize asset management activities, process modelling initiatives should be adopted. Although organisations adopt AM principles and carry out AM initiatives, most do not document or model their AM processes, let alone enacting their processes (semi-) automatically using a computer-supported system. There is currently a lack of knowledge describing how to model AM processes through a methodical and suitable manner so that the processes are streamlines and optimized and are ready for deployment in a computerised way. This research aims to overcome this deficiency by developing an approach that will aid organisations in constructing AM process models quickly and systematically whilst using the most appropriate techniques, such as workflow technology. Currently, there is a wealth of information within the individual domains of AM and workflow. Both fields are gaining significant popularity in many industries thus fuelling the need for research in exploring the possible benefits of their cross-disciplinary applications. This research is thus inspired to investigate these two domains to exploit the application of workflow to modelling and execution of AM processes. Specifically, it will investigate appropriate methodologies in applying workflow techniques to AM frameworks. One of the benefits of applying workflow models to AM processes is to adapt and enable both ad-hoc and evolutionary changes over time. In addition, this can automate an AM process as well as to support the coordination and collaboration of people that are involved in carrying out the process. A workflow management system (WFMS) can be used to support the design and enactment (i.e. execution) of processes and cope with changes that occur to the process during the enactment. So far few literatures can be found in documenting a systematic approach to modelling the characteristics of AM processes. In order to obtain a workflow model for AM processes commonalities and differences between different AM processes need to be identified. This is the fundamental step in developing a conscientious workflow model for AM processes. Therefore, the first stage of this research focuses on identifying the characteristics of AM processes, especially AM decision making processes. The second stage is to review a number of contemporary workflow techniques and choose a suitable technique for application to AM decision making processes. The third stage is to develop an intermediate ameliorated AM decision process definition that improves the current process description and is ready for modelling using the workflow language selected in the previous stage. All these lead to the fourth stage where a workflow model for an AM decision making process is developed. The process model is then deployed (semi-) automatically in a state-of-the-art WFMS demonstrating the benefits of applying workflow technology to the domain of AM. Given that the information in the AM decision making process is captured at an abstract level within the scope of this work, the deployed process model can be used as an executable guideline for carrying out an AM decision process in practice. Moreover, it can be used as a vanilla system that, once being incorporated with rich information from a specific AM decision making process (e.g. in the case of a building construction or a power plant maintenance), is able to support the automation of such a process in a more elaborated way.

Offering Development in the Restaurant Sector. A Comparison Between Customer Perceptions and Management Beliefs

The present study concentrates on a small – but important – area of marketing: offering development within the service sector, more exactly the restaurant sector. The empirical part of the study has been carried out in the Helsinki metropolitan area using six successful restaurants. First, a conceptual offering development model is developed based on how the management perceives the offering development processes. Second, customer perceptions of offerings and management beliefs about how the customers perceive the offerings are analysed. Finally, an extended offering development model is created based on the management perceptions (the first model) as well as on observed gaps between customer perceptions of offerings and management beliefs about the customer perceptions. The study reveals that customer perceptions and management beliefs are rather similar but also that some differences exist. These differences are taken into account in the extended offering development model (the second model). The empirical data was collected through interviews and surveys. All together 393 customers and 14 managers participated in the study. The study suggests that successful offering development has to be closely connected with the general strategy of the company. A shared vision within the company in combination with a systematic strategic offering development process create a sound basis for the practical development work. The main contribution of the study is the extended offering development model forming a framework for further studies within the area.

Upgrading automation for nuclear fuel in-core management: from the symbolic generation of configurations to the neural adaptation of heuristics

FUELCON is an expert system in nuclear engineering. Its task is optimized refueling-design, which is crucial to keep down operation costs at a plant. FUELCON proposes sets of alternative configurations of fuel-allocation; the fuel is positioned in a grid representing the core of a reactor. The practitioner of in-core fuel management uses FUELCON to generate a reasonably good configuration for the situation at hand. The domain expert, on the other hand, resorts to the system to test heuristics and discover new ones, for the task described above. Expert use involves a manual phase of revising the ruleset, based on performance during previous iterations in the same session. This paper is concerned with a new phase: the design of a neural component to carry out the revision automatically. Such an automated revision considers previous performance of the system and uses it for adaptation and learning better rules. The neural component is based on a particular schema for a symbolic to recurrent-analogue bridge, called NIPPL, and on the reinforcement learning of neural networks for the adaptation.

Introducing Automated Management Through Iteratively Increased Automation and Indicators

Introducing automation into a managed environment includes significant initial overhead and abstraction, creating a disconnect between the administrator and the system. In order to facilitate the transition to automated management, this paper proposes an approach whereby automation increases gradually, gathering data from the task deployment process. This stored data is analysed to determine the task outcome status and can then be used for comparison against future deployments of the same task and alerting the administrator to deviations from the expected outcome. Using a machinelearning
approach, the automation tool can learn from the administrator's reaction to task failures and eventually react to faults autonomously.

Integrative workflow-embedded support for process automation and management

This paper presents the on-going research performed in order to integrate process automation and process management support in the context of media production. This has been addressed on the basis of a holistic approach to software engineering applied to media production modelling to ensure design correctness, completeness and effectiveness. The focus of the research and development has been to enhance the metadata management throughout the process in a similar fashion to that achieved in Decision Support Systems (DSS) to facilitate well-grounded business decisions. The paper sets out the aims and objectives and the methodology deployed. The paper describes the solution in some detail and sets out some preliminary conclusions and the planned future work.

AUTOFLY-Aid: Flight Deck Automation Support with Dynamic 4D Trajectory Management for Responsive and Adaptive Airborne Collision Avoidance

AUTOFLY-Aid Project aims to develop and demonstrate novel automation support algorithms and tools to the flight crew for flight critical collision avoidance using “dynamic 4D trajectory management”. The automation support system is envisioned to improve the primary shortcomings of TCAS, and to aid the pilot through add-on avionics/head-up displays and reality augmentation devices in dynamically evolving collision avoidance scenarios. The main theoretical innovative and novel concepts to be developed by AUTOFLY-Aid project are a) design and development of the mathematical models of the full composite airspace picture from the flight deck’s perspective, as seen/measured/informed by the aircraft flying in SESAR 2020, b) design and development of a dynamic trajectory planning algorithm that can generate at real-time (on the order of seconds) flyable (i.e. dynamically and performance-wise feasible) alternative trajectories across the evolving stochastic composite airspace picture (which includes new conflicts, blunder risks, terrain and weather limitations) and c) development and testing of the Collision Avoidance Automation Support System on a Boeing 737 NG FNPT II Flight Simulator with synthetic vision and reality augmentation while providing the flight crew with quantified and visual understanding of collision risks in terms of time and directions and countermeasures.