An MILP model for planning of batch plants operating in a campaign- mode

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 alon...

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Autores principales: Fumero, Yanina, Corsano, Gabriela, Montagna, Jorge Marcelo
Formato: Documento de conferencia acceptedVersion docunento de conferencia
Lenguaje:Inglés
Inglés
Publicado: 2018
Materias:
multiproduct batch plants
production campaign
planning
scheduling
MILP model
Acceso en línea:http://hdl.handle.net/20.500.12272/3092
https://doi.org/10.1007/s10479-016-2301-6
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-3092
record_format dspace
spelling I68-R174-20.500.12272-30922023-07-03T18:09:07Z An MILP model for planning of batch plants operating in a campaign- mode Fumero, Yanina Corsano, Gabriela Montagna, Jorge Marcelo multiproduct batch plants production campaign planning scheduling MILP model 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. Fil: CONICET – UTN; INGAR, Instituto de Desarrollo y Diseño; Argentina Peer Reviewed 2018-09-10T13:09:36Z 2018-09-10T13:09:36Z 2014 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion docunento de conferencia Fumero, Y., Corsano, G. & Montagna, J.M. Ann Oper Res (2017) 258: 415. https://doi.org/10.1007/s10479-016-2301-6 0254-5330 http://hdl.handle.net/20.500.12272/3092 https://doi.org/10.1007/s10479-016-2301-6 eng eng PID:25/O152: "Integración de sistemas soporte de decisión para la gestión óptima de la cadena de suministros utilizando sistemas empresariales" C. T. Maravelias. General framework and modeling approach classification for chemical production scheduling. AIChE Journal 2012, 58(6): 1812-1828, 2012. D. Birewar and I. E. Grossmann. Incorporating scheduling in the optimal design of multiproduct batch plants. Computers and Chemical Engineering, 13, 141-161, 1989 V.T. Voudouris, I.E. Grossmann. Mixed-Integer Linear Programming Reformulations for Batch Process Design with Discrete Equipment Sizes. Ind. Eng. Chem. Res. 1992,31, 1315-1325 Y. Fumero, G. Corsano, J. M. Montagna. Scheduling of multistage multiproduct batch plants operating in a campaign-mode. Industrial Engineering and Chemical Research, 5: 3988−4001, 2012. Y. Fumero, G. Corsano, J. M. Montagna. Detailed Design of Multiproduct Batch Plants Considering Prodction Scheduling. Industrial Engineering and Chemical Research, 50 (10), 6146-6160, 2011. info:eu-repo/semantics/openAccess http://creativecommons.org/publicdomain/zero/1.0/ Autorizo la publicación de la obra, desde si aprobación/presentación CC0 1.0 Universal application/pdf
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
Inglés
topic multiproduct batch plants
production campaign
planning
scheduling
MILP model
spellingShingle multiproduct batch plants
production campaign
planning
scheduling
MILP model
Fumero, Yanina
Corsano, Gabriela
Montagna, Jorge Marcelo
An MILP model for planning of batch plants operating in a campaign- mode
topic_facet multiproduct batch plants
production campaign
planning
scheduling
MILP model
description 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.
format Documento de conferencia
acceptedVersion
docunento de conferencia
author Fumero, Yanina
Corsano, Gabriela
Montagna, Jorge Marcelo
author_facet Fumero, Yanina
Corsano, Gabriela
Montagna, Jorge Marcelo
author_sort Fumero, Yanina
title An MILP model for planning of batch plants operating in a campaign- mode
title_short An MILP model for planning of batch plants operating in a campaign- mode
title_full An MILP model for planning of batch plants operating in a campaign- mode
title_fullStr An MILP model for planning of batch plants operating in a campaign- mode
title_full_unstemmed An MILP model for planning of batch plants operating in a campaign- mode
title_sort milp model for planning of batch plants operating in a campaign- mode
publishDate 2018
url http://hdl.handle.net/20.500.12272/3092
https://doi.org/10.1007/s10479-016-2301-6
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