Publicaciones en Congresos, Conferencias y Jornadas

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/535

Browse

Author: search.filters.author.Fumero, Yanina

Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Optimal planning and scheduling of multiproduct batch plants operating under production campaign in a multiperiod context
    (2013) Fumero, Yanina; Corsano, Gabriela; Moreno, Marta S.; Montagna, Jorge Marcelo
    A multiperiod optimization model for the simultaneous planning and scheduling of multiproduct batch plants is presented in this work. Decisions about production and storage of different products, as well as production campaign in each period are jointly taken into account. Thus, for each time period, the number and size of batches of each product in the campaign, the assignment of batches to units and their sequencing, and the number of repetitions of the campaign must be determined. Different trade-offs among the various decision variables are evaluated according to seasonal and market fluctuations presented in each period. The proposed modelling framework provides a valuable tool for guiding the decisions in planning and scheduling of multiproduct batch plants.
  • Thumbnail Image
    Item
    Impacto del uso de residuos en el diseño y operación de una cadena de suministros para la producción de etanol
    (2015) Montagna, Jorge Marcelo; Fumero, Yanina; Vanzetti, Nicolás; Corsano, Gabriela
    En este trabajo se desarrolla un modelo multiobjetivo (maximizar ganancias-minimizar impacto ambiental) para el diseño óptimo de una cadena de suministro para la producción de etanol a partir de mieles provenientes de diversas plantas de azúcar. Simultáneamente se obtiene el diseño de cada planta instalada y la programación detallada de su producción, esto último modelado mediante campañas mixtas de producción. El impacto ambiental causado por la producción de etanol es medido a través de los efluentes generados en cada planta. Para minimizar este impacto, se propone producir levaduras de dos tipos. De esta forma, el problema multiobjetivo es resuelto maximizando la función económica para diferentes valores permitidos de efluentes, generando un conjunto de soluciones posibles. A través de un caso de estudio, se muestra la potencialidad del enfoque propuesto, que sirve como herramienta al momento de diseñar una cadena sustentable y permite analizar diferentes escenarios.
  • Thumbnail Image
    Item
    Simultaneous planning and scheduling of multistage multiproduct batch plants with non-identical parallel units and sequence-dependent changeovers
    (2014) Montagna, Jorge Marcelo; Fumero, Yanina; Corsano, Gabriela
    A mixed integer linear programming model for the simultaneous planning and scheduling of multistage multiproduct batch plants in a multiperiod context is presented in this work. The batch plant is composed by a set of stages with parallel units of different sizes. The scheduling decisions are modeled considering mixed product campaign-based operation mode and sequence-dependent changeover times. Thus, for each time period, the number of batches of each product in the campaign, the batch assignment to units in each stage and its sequencing, and the number of repetitions of the campaign are jointly determined. Also, decisions about production and storage of different products, and raw material consumption and storage are taken into account. The approach capabilities are highlighted through an example.
  • Thumbnail Image
    Item
    An MILP model for planning of batch plants operating in a campaign- mode
    (2014) Fumero, Yanina; Corsano, Gabriela; Montagna, Jorge Marcelo
    A mixed integer linear programming for the detailed production planning of multiproduct batch plants is proposed in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. For plants operating in a regular fashion along a time horizon, this operation mode assures a more efficient production management. In addition, sequencedependent changeover times and different unit sizes for parallel units in each stage are considered. Given the plant configuration and unit sizes, the total amount of each product to be produced and the product recipes, the proposed model determines the number of batches that compose the production campaign and their sizes, the assignment and sequencing of batches in each unit, and the timing of batches in each unit in order to minimize the campaign cycle time. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities.