Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant

Durand, Guillermo AndrésIcon ; Moreno, Marta SusanaIcon ; Mele, Fernando DanielIcon ; Montagna, Jorge MarceloIcon ; Bandoni, Jose AlbertoIcon
Fecha de publicación: 10/2013
Editorial: Universidade Federal de Santa Catarina
Revista: Iberoamerican Journal of Industrial Engineering
ISSN: 2175-8018
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingeniería Química; Matemática Pura

Resumen

This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic MixedInteger Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILPproblem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems.
Palabras clave: Uncertainty , Two-Stage Stochastic Programming , Simulation-Based Optimization
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 576.9Kb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/77394
URL: http://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3044
Colecciones
Articulos(CCT - NOA SUR)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - NOA SUR
Articulos(INGAR)
Articulos de INST.DE DESARROLLO Y DISEÑO (I)
Articulos(PLAPIQUI)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Citación
Durand, Guillermo Andrés; Moreno, Marta Susana; Mele, Fernando Daniel; Montagna, Jorge Marcelo; Bandoni, Jose Alberto; Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultanenous design and planning of a multiproduct batch plant; Universidade Federal de Santa Catarina; Iberoamerican Journal of Industrial Engineering; 5; 10; 10-2013; 43-54
Compartir

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES