Comunicaciones y ponencias de congresos INARBE - INARBE biltzarretako komunikazioak eta txostenak

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Browsing Comunicaciones y ponencias de congresos INARBE - INARBE biltzarretako komunikazioak eta txostenak by Department/Institute "Estatistika, Informatika eta Matematika"

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    PublicationOpen Access
    Agent-based simulation improves e-grocery deliveries using horizontal cooperation
    (IEEE, 2020) Serrano Hernández, Adrián; Faulín Fajardo, Javier; Torre Martínez, Rocío de la; Cadarso, Luis; Estatistika, Informatika eta Matematika; Enpresen Kudeaketa; Institute of Smart Cities - ISC; Institute for Advanced Research in Business and Economics - INARBE; Estadística, Informática y Matemáticas; Gestión de Empresas
    E-commerce has increased tremendously in recent decades because of improvements in the information and telecommunications technology along with changes in societal lifestyles. More recently, e-grocery (groceries purchased online) including fresh vegetables and fruit, is gaining importance as the most-efficient delivery system in terms of cost and time. In this respect, we evaluate the effect of cooperation-based policies on service quality among different supermarkets in Pamplona, Spain. Concerning the methodology, we deploy, firstly, a detailed survey in Pamplona in order to model e-grocery demand patterns. Secondly, we develop an agent-based simulation model for generating scenarios in cooperative and non-cooperative settings, considering the real data obtained from the survey analysis. Thus, a Vehicle Routing Problem is dynamically generated and solved within the simulation framework using a biased-randomization algorithm. Finally, the results show significant reductions in lead times and better customer satisfaction when employing horizontal cooperation in e-grocery distribution.
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    PublicationOpen Access
    La ciudadanía global como reto en la enseñanza-aprendizaje de las universidades: las experiencias de innovación educativa de desarrollo y cooperación internacional, derecho Internacional y matemáticas
    (Universitat Politècnica de València, 2021) Chicharro Lázaro, Alicia; Campión Arrastia, María Jesús; Zuzenbidea; Estatistika, Informatika eta Matematika; Institute for Advanced Research in Business and Economics - INARBE; Institute for Advanced Social Research - ICOMMUNITAS; Derecho; Estadística, Informática y Matemáticas
    Se presentan varias experiencias de innovación educativa en la Universidad Pública de Navarra que tienen como nexo común fundamental la transversalización de los Objetivos de Desarrollo Sostenible en el currículo. Con este objetivo se presenta el curso de extensión universitaria de Desarrollo y Cooperación Internacional, transversal a todas las titulaciones y en el que participan las autoras, así como en las asignaturas que imparten en sus respectivas titulaciones: Derecho Internacional Público y Matemáticas. Se observa cómo dichas asignaturas, a priori dispares a nivel conceptual, pueden ser trabajadas a nivel competencial con un mismo reto común, que es el fomento del ejercicio de una ciudadanía global, activa, solidaria, responsable y comprometida con el desarrollo sostenible. Se describe para cada una de dichas experiencias algunas de las actividades llevadas a cabo con dicho objetivo, contextualizadas en el marco de los ODS. Se analizan las principales conclusiones extraídas de la experiencia, poniendo de relieve el papel fundamental de las universidades como motor de transformación social desde distintas dimensiones.
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    PublicationOpen Access
    Unexpected thresholds from independence of irrelevant alternatives in fuzzy arrow theorems
    (2019) Raventós Pujol, Armajac; Estatistika, Informatika eta Matematika; Institute for Advanced Research in Business and Economics - INARBE; Estadística, Informática y Matemáticas
    It is well known Arrow Theorem and its impact into Social Choice. It states that under an apparently mild set of conditions no rule fusing individual preferences into a social one is possible. In order to solve this situation, a possibility is to skip from dichotomic preferences to fuzzy ones. All conditions imposed to aggregation rules should be adapted to the fuzzy setting and due to the existence of different generalizations for each condition, depending on the chosen combination, a possibility or an impossibility result arises. In addition, in case we find a reasonable fuzzy aggregation rule, in most situations dichotomic decisions have to be taken at the end of the day, so the use of thresholds over fuzzy preferences is compulsory to make any decision. Surprisingly, independence of irrelevant alternatives axioms induce different thresholds which, besides they can be used on discrete and dichotomic decision making, transform fuzzy spaces of preferences and its aggregation functions into discrete ones allowing the application of new techniques to their study.
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    PublicationOpen Access
    Why using topological and analytical methods in aggregation of fuzzy preferences?
    (2020) Campión Arrastia, María Jesús; Induráin Eraso, Esteban; Raventós Pujol, Armajac; Estatistika, Informatika eta Matematika; Institute for Advanced Research in Business and Economics - INARBE; Institute for Advanced Materials and Mathematics - INAMAT2; Estadística, Informática y Matemáticas
    The Arrow’s Impossibility Theorem states that there is no function fusing individual preferences into a social one satisfying certain properties of 'common sense'. On the contrary, in some of the fuzzy extensions of the Arrovian model, possibility arises. We have developed a technique which has been able to prove new impossibility results in the fuzzy approach. In this poster, we will explain the fundaments of this technique and in which models we can apply it. This technique, is based on controlling the aggregation of fuzzy preferences through some aggregation functions of dichotomic preferences. For each fuzzy aggregation function, we get a family of dichotomic aggregation functions. Studying this family, we obtain information about the initial aggregation function. We will discuss why the fuzzy Arrovian models in which we can apply this technique are, in some sense, less fuzzy. Moreover, we will expose why we should use topological and analytical methods in the fuzzy models out of the scope of our technique.