FRSF - INVESTIGACIÓN Y PRODUCCIÓN CIENTÍFICA

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Encontrará los objetos que son resultados de las investigaciones

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Start date: 2020

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Now showing 1 - 10 of 307
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    SIMAE v1.0.0 : Sistema de Marcado Estructural de Código Fuente
    (2024-10-07) Assenza, Tomás; Fontana, Valentín; Ballardini, César; Golobisky, María Fernanda; Marchetti, Pablo Andrés
    SIMAE es una herramienta de accesibilidad desarrollada en el marco de proyectos de I+D del Departamento Ingeniería en Sistemas de Información de la Universidad Tecnológica Nacional - Facultad Regional Santa Fe. Su objetivo principal es promover la inclusión de las personas con discapacidad visual en los procesos de enseñanza/aprendizaje y en el ejercicio profesional vinculado a la producción de software. La herramienta brinda asistencia contextual en la tarea de programación a desarrolladores ciegos o con baja visión mediante el marcado de las estructuras contenidas en el código fuente, facilitando la lectura y navegación del código al utilizar lectores de pantalla. SIMAE v1.0.0 ofrece distintos modos de uso: por un lado, mediante una aplicación standalone que incluye tanto una interfaz gráfica (GUI) como una interfaz de línea de comandos (CLI); y por otro, mediante una extensión (plugin) para el entorno de desarrollo Visual Studio Code. En la versión standalone, el marcado se realiza insertando comentarios en el código que indican las líneas de comienzo y finalización de las distintas estructuras sintácticas, de acuerdo al lenguaje de programación utilizado. En cambio, la extensión para Visual Studio Code no modifica el código fuente, sino que presenta indicaciones contextuales (hints) directamente en el editor y permite navegar entre marcas mediante atajos de teclado. Esta es la modalidad más recomendada en la versión 1.0.0. SIMAE v1.0.0 soporta los lenguajes de programación C++, C#, Java y Python, y permite aplicar las marcas ya sea en español o en inglés. La aplicación standalone requiere un entorno de ejecución Java y es compatible con los sistemas operativos Windows, Linux y macOS. En particular, cuenta con un instalador directo para usuarios de Windows. La extensión para Visual Studio Code se encuentra disponible en el Marketplace oficial de dicha herramienta. Para más información puede consultar el sitio web: https://simae.info Requerimientos: Aplicación standalone: - Sistema operativo: Windows, Linux, macOS - Java Development Kit (JDK) 11 o superior - Instalador disponible para Windows Plugin para Visual Studio Code: - Visual Studio Code (compatible con Windows, Linux, macOS) Requiere lector de pantalla compatible con el sistema operativo. Licencia: MIT
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    Economical assessment of the benefits of the supply chain management : a forestry industry example
    (Industrial & Engineering Chemistry Research, 2022-08-24) Vanzetti , Nicolás; Corsano, Gabriela; Montagna, Jorge Marcelo
    Nowadays, companies collaborate in a supply chain (SC), achieving superior results. Nevertheless, these benefits are not usually equally distributed among SC members. However, previous approaches generally address the profits of the entire system as a performance measure. In this way, a counterpoint arises between the optimality of the overall results and the benefits perceived by each of the participants. In this work, the differences between the global results and the individual benefits of each of the SC members are assessed to weigh the true impact of the integrated operation of the SC. A mixed integer linear programming model is presented to evaluate the SC performance for the forest industry, considering the strongly integrated and competitive operations among its members. Through examples, differences between integration and individual concerns are assessed, and an approach based on goal programming is proposed to effectively manage them. Conclusions can be easily extended to other contexts
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    A mathematical modeling for simultaneous routing and scheduling of logging trucks in the forest supply chain
    (Forest Policy and Economics, 2022-01-12) Melchiori, Luciana; Nasini, Graciela; Montagna, Jorge Marcelo; Corsano, Gabriela
    Transportation cost in the forest industry highly impacts on the overall costs of the supply chain, and therefore it must be optimized for improving profitability. Considering the problem characteristics, the decisions related to the transport problem, such as allocation, routing, and scheduling, are usually decoupled, resorting to different decomposition strategies. As a result, suboptimal and underperforming solutions are obtained. In this article, decisions about raw material allocation, routing and scheduling are simultaneously solved through a mixed integer linear programming model. The proposed model involves an arc-based formulation for routing and a time grid discretization, including the definition of loading and unloading shifts for scheduling. This leads to detailed transportation planning for a homogeneous logging truck fleet that must fulfill the demand of varied raw material at minimum cost. Examples and performance tests are provided to assess the capabilities of the proposed exact approach.
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    Resources synchronization in a full truckload pickup and delivery problem : an exact approach
    (Computers and Operations Research, 2022-12-05) Melchiori , Luciana; Nasini, Graciela; Montagna, Jorge Marcelo; Corsano, Gabriela
    In this work, the Unpaired Full Truckload Pickup and Delivery Problem with Resource Synchronization is modeled and solved, where routes must be determined to transport commodities from pickup to delivery locations by a set of vehicles, subject to timing and resource synchronization constraints, to satisfy demands at minimum cost. Unlike previous works, the use of multiple resources for loading and unloading tasks at each location are considered and appropriately managed through a representation using discrete shifts. An integer linear programming model is proposed to simultaneously solve allocation, routing and resources synchronization optimization problems. In order to improve the model performance for large size instances, diverse reformulations, including additional inequalities and symmetric-breaking constraints, are implemented and tested. Moreover, a heuristic procedure is proposed to provide good initial feasible solutions. The capabilities of the proposed approach are assessed through several examples
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    Efficient mixed-integer linear programming model for integrated management of ready-mixed concrete production and distribution
    (Automation in Construction, 2025-02-14) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    The ready-mixed concrete industry plays a key role in the construction sector. Tight integration between different actors is required for developing a successful project. In this context, this paper presents a contribution to optimal daily planning of production and distribution operations in the concrete industry to meet the requirements of construction sites. Customized products must be produced and delivered satisfying the specific time windows proposed by customers. To solve this problem, traditional models often resort to approaches based on decomposition techniques or approximate methods, which may provide poor quality solutions that deviate significantly from optimal planning. In contrast, this article presents an integrated and exact approach to solve the problems of ready-mixed concrete batching, production and distribution, reaching the optimal global solution in good computational times. Several examples are solved to assess the capability and performance of the proposed formulation and its applicability to a real case in this industry.
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    MILP model for simultaneous batching, production and distribution operations in single-stage multiproduct batch plants
    (International Journal of Industrial Engineering Computations, 2025-04-08) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    Traditionally, the short-term production and distribution activities have been addressed with a decoupled and sequential methodology. Although this approach simplifies the problem, there are several environments where it generates inefficiencies or is simply not applicable. Consequently, the integration of both problems is very valuable in a variety of industrial applications, especially in industries where final products must be delivered to customers shortly after production. This paper presents a mixed-integer linear optimization model that simultaneously solves the production and distribution scheduling in a single-stage multi-product batch facility with multiple nonidentical units operating in parallel, where transportation operations are carried out with a heterogeneous fleet of vehicles. As operations are performed in a batch environment, the production and distribution problems also integrate decisions related to the number and size of batches required to meet the demand for multiple products. The capabilities of the proposed approach are illustrated through several cases of study. Finally, these examples are solved with a two-stage approach and the superiority of the solutions using the integrated approach is demonstrated.
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    A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
    (Computers & Chemical Engineering, 2024-06-02) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    At operational level, production and distribution integration is very valuable in real-word applications, especially in industries where products must be delivered shortly after production, as in the case of perishable or customized products. Given that the involved decisions belong to different departments and considering their high combinatory, they are usually decoupled. Although this sequential approach simplifies decision making, it can lead to suboptimal solutions for the integrated problem. This paper presents a novel mixed-integer linear programming (MILP) model to simultaneously manage batching, production, and distribution decisions. An efficient strategy is proposed, where feasible routes that vehicles can travel are generated beforehand, which greatly simplify the formulation. Thus, infeasible routes are not considered (reduction of the search space) and several important decisions are made simultaneously when selecting a route (allocation and sequencing of the customers). The performance of this approach is superior to previous ones, especially in large problems.
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    Evaluación de la implementación de cuestionarios semanales en la modalidad cuatrimestral del Seminario de Ingreso de Matemática
    (IPECYT, 2024) Verrengia, María de los Milagros; Pereira, Sebastián; Casco, Eva
    El cambio de hábitos de estudios de los alumnos de escuela secundaria a la Universidad suele ser un proceso de adaptación complejo. Con el objetivo de acompañar a los alumnos en la transición, se implementaron cuestionarios semanales para promover un mejor desempeño académico. En este trabajo se desarrollarán las estrategias implementadas con los estudiantes en el Seminario de Ingreso de Matemática de la Facultad Regional Santa Fe. De los resultados obtenidos, se observa un impacto significativo con respecto al año anterior.
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    Sistema de Marcado de Estructuras de Código Fuente para programadores con discapacidad visual : mejoras de interfaz e integración con herramientas de desarrollo
    (JIT, 2023-09-21) Assenza, Tomás; Fontana, Valentín
    Al realizar tareas de programación se aprovechan distintas utilidades que permiten al desarrollador posicionarse en el código y mejorar su edición para obtener un programa funcional como respuesta a un problema. Estas herramientas están provistas en los entornos integrados de desarrollo (IDEs), que conforman soluciones completas para generar software. Los programadores con discapacidad visual se enfrentan con la problemática de que la mayor parte de la información que brindan estos entornos proviene de pistas visuales a las cuales no pueden acceder. En este trabajo se extiende un sistema de marcado estructural de código fuente (SIMAE) para asistir a estos desarrolladores en la navegación y posicionamiento del código, introduciendo marcas a modo de comentarios que les permiten saber dónde inicia y finaliza cada estructura de código. Se presentan mejoras en las interfaces de usuario y la integración de la herramienta en distintos IDEs de amplio uso en la industria.
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    Integración en Visual Studio Code de una herramienta de asistencia contextual mediante el marcado de estructuras de código para programadores con discapacidad visual
    (11º CoNaIISI, 2023) Fontana, Valentín; Assenza, Tomás; Ballardini, César; Golobisky, María Fernanda; Marchetti, Pablo Andrés
    La herramienta SIMAE (Sistema de Marcado Estructural de Código Fuente) aborda la necesidad de brindar asistencia contextual a los programadores con discapacidad visual en la tarea de escribir sus programas. Los programadores utilizan, en general, Entornos Integrados de Desarrollo (IDE) para desarrollar sus aplicaciones, pero las pistas provistas por estos suelen estar mayormente orientadas a lo visual. Dependiendo del lenguaje de programación y del editor de código utilizado, los programadores ciegos encuentran limitaciones de accesibilidad para navegar estructuras de código complejas. SIMAE resuelve este desafío marcando las estructuras presentes en el código con comentarios que información que es transferida a los lectores de pantalla para ayudar a los programadores a navegar, comprender y editar los programas. En este trabajo, se amplía el alcance de la herramienta mediante el desarrollo de una extensión para Visual Studio Code y la incorporación del soporte para el lenguaje C#. Este plugin reemplaza la forma tradicional de realizar el marcado, proporcionando información mediante pistas (hints) sin tener que haciendo más práctico el uso de la herramienta. SIMAE ha recibido evaluaciones positivas de estudiantes con discapacidad visual y ya está disponible públicamente para la comunidad.