A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry

Detalhes bibliográficos
Autor(a) principal: Gonçalo Reis Figueira
Data de Publicação: 2013
Outros Autores: Santos,MO, Bernardo Almada-Lobo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/5693
http://dx.doi.org/10.1016/j.cor.2013.01.015
Resumo: Mathematical formulations for production planning are increasing complexity, in order to improve their realism. In short-term planning, the desirable level of detail is particularly high. Exact solvers fail to generate good quality solutions for those complex models on medium- and large-sized instances within feasible time. Motivated by a real-world case study in the pulp and paper industry, this paper provides an efficient solution method to tackle the short-term production planning and scheduling in an integrated mill. Decisions on the paper machine setup pattern and on the production rate of the pulp digester (which is constrained to a maximum variation) complicate the problem. The approach is built on top of a mixed integer programming (MIP) formulation derived from the multi-stage general lotsizing and scheduling problem. It combines a Variable Neighbourhood Search procedure which manages the setup-related variables, a specific heuristic to determine the digester's production speeds and an exact method to optimize the production and flow movement decisions. Different strategies are explored to speed-up the solution procedure and alternative variants of the algorithm are tested on instances based on real data from the case study. The algorithm is benchmarked against exact procedures.
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spelling A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industryMathematical formulations for production planning are increasing complexity, in order to improve their realism. In short-term planning, the desirable level of detail is particularly high. Exact solvers fail to generate good quality solutions for those complex models on medium- and large-sized instances within feasible time. Motivated by a real-world case study in the pulp and paper industry, this paper provides an efficient solution method to tackle the short-term production planning and scheduling in an integrated mill. Decisions on the paper machine setup pattern and on the production rate of the pulp digester (which is constrained to a maximum variation) complicate the problem. The approach is built on top of a mixed integer programming (MIP) formulation derived from the multi-stage general lotsizing and scheduling problem. It combines a Variable Neighbourhood Search procedure which manages the setup-related variables, a specific heuristic to determine the digester's production speeds and an exact method to optimize the production and flow movement decisions. Different strategies are explored to speed-up the solution procedure and alternative variants of the algorithm are tested on instances based on real data from the case study. The algorithm is benchmarked against exact procedures.2018-01-08T09:43:03Z2013-01-01T00:00:00Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5693http://dx.doi.org/10.1016/j.cor.2013.01.015engGonçalo Reis FigueiraSantos,MOBernardo Almada-Loboinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:26Zoai:repositorio.inesctec.pt:123456789/5693Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:06.178843Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
title A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
spellingShingle A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
Gonçalo Reis Figueira
title_short A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
title_full A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
title_fullStr A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
title_full_unstemmed A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
title_sort A hybrid VNS approach for the short-term production planning and scheduling: A case study in the pulp and paper industry
author Gonçalo Reis Figueira
author_facet Gonçalo Reis Figueira
Santos,MO
Bernardo Almada-Lobo
author_role author
author2 Santos,MO
Bernardo Almada-Lobo
author2_role author
author
dc.contributor.author.fl_str_mv Gonçalo Reis Figueira
Santos,MO
Bernardo Almada-Lobo
description Mathematical formulations for production planning are increasing complexity, in order to improve their realism. In short-term planning, the desirable level of detail is particularly high. Exact solvers fail to generate good quality solutions for those complex models on medium- and large-sized instances within feasible time. Motivated by a real-world case study in the pulp and paper industry, this paper provides an efficient solution method to tackle the short-term production planning and scheduling in an integrated mill. Decisions on the paper machine setup pattern and on the production rate of the pulp digester (which is constrained to a maximum variation) complicate the problem. The approach is built on top of a mixed integer programming (MIP) formulation derived from the multi-stage general lotsizing and scheduling problem. It combines a Variable Neighbourhood Search procedure which manages the setup-related variables, a specific heuristic to determine the digester's production speeds and an exact method to optimize the production and flow movement decisions. Different strategies are explored to speed-up the solution procedure and alternative variants of the algorithm are tested on instances based on real data from the case study. The algorithm is benchmarked against exact procedures.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01T00:00:00Z
2013
2018-01-08T09:43:03Z
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http://dx.doi.org/10.1016/j.cor.2013.01.015
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http://dx.doi.org/10.1016/j.cor.2013.01.015
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