Suchergebnisse

International audience ; Human behavior can be influenced by social interactions. The study of how human behavior change has applications in different fields such as marketing, military, psychology, robotics, human-machine interface, anthropology, computational sciences, economics or epidemiology. Applying Modeling and Simulation to study human behavior is encouraged to avoid the long waiting times that takes natural observations of desired events. In our study, we provide a model for human social interaction and influence during a product launch using the Cell-DEVS formalism, the CD++ simulator, Agent-Based Modeling and Bounded Confidence Models. We studied how the size of the market, attributes of an individual and number of people that a human interacts with can affect human behavior.

En el presente trabajo se realizará la simulación el efecto de la interdependencia y el contagio en las decisiones de compra y venta de los inversionistasen un mercado financiero de tipo Black-Schole,donde existen dos activos financieros: acciones (activo riesgoso) y bonos (activo libre de riesgo); y dos estados del inversionista: amante y averso al riesgo; bajo distintas probabilidades de contagio. Este fenómeno económico-financiero podría ser modelado por un sistema de ecuaciones estocásticas; sin embargo, no todas las ecuaciones estocásticas tienen una solución cerrada por lo que se opta por realizar simulaciones computacionales para analizar su comportamiento numérico, en este sentido, se realizará una simulación computacional mediante los autómatas celulares.

11 28 6 1 ; SWORD ; [EN] We present a literature review about organizational resilience, with the goal of identifying how organizational resilience is conceptualized and assessed. The two research questions that drive the review are: (1) how is organizational resilience conceptualized? and (2) how is organizational resilience assessed? We answer the first question by analysing organizational resilience definitions and the attributes or characteristics that contribute to develop resilient organizations. We answer the second question by reviewing articles that focus on tools or methods to measure organizational resilience. Although there are three different ways to define organizational resilience, we found common ideas in the definitions. We also found that organizational resilience is considered a property, ability or capability that can be improved over time. However, we did not find consensus about the elements that contribute to improving the level of organizational resilience and how to assess it. Based on the results of the review, we propose a conceptualization of organizational resilience that integrates the three views found in the literature. We also propose a four-level Maturity Model for Organizational Resilience – MMOR. Using this model, the organization can be in one of the following levels based on its ability and capacity to handle disruptive events: fragile, robust, resilient or antifragile. This research is partially supported by University of Valladolid, Banco Santander and NSERC Ruiz-Martin, C.; López-Paredes, A.; Wainer, G. (2018). What we know and do not know about organizational resilience. International Journal of Production Management and Engineering. 6(1):11-28. doi:10.4995/ijpme.2018.7898

This paper proposes a computational process development capable of filling the electric power sector shortage regarding voltage non-conformities identification in electric distribution power grid accounting for loads dynamic behavior at medium and low voltages. Actual distribution power grid data are used, with georeferencing to signal voltage transgressions locations, generate a report with voltage transgression indices and financial reimbursement values provided by legislation. The methodology compares regulatory requirements and makes available in software some possible actions in an attempt to adjust voltage levels, avoiding inconvenience and penalties for energy utilities providers. The method involves a data extractor construction for electricity provider company's databases, computer simulations and comparison of obtained results with values established in electricity quality control standards. Thus, finding non-conformity locations and determining network adjustments to correct tension indexes in permanent regulation. The proposal features a reduction in electricity utilities operating costs, increasing efficiency in operation and energy quality available to consumers.