Integrated versus hierarchical approach to aggregate production planning and master production scheduling

Detalhes bibliográficos
Autor(a) principal: Vogel,T
Data de Publicação: 2017
Outros Autores: Bernardo Almada-Lobo, Almeder,C
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/123456789/5724
http://dx.doi.org/10.1007/s00291-016-0450-2
Resumo: The hierarchical planning concept is commonly used for production planning. Dividing the planning process into subprocesses which are solved separately in the order of the hierarchy decreases the complexity and fits the common organizational structure. However, interaction between planning levels is crucial to avoid infeasibility and inconsistency of plans. Furthermore, optimizing subproblems often leads to suboptimal results for the overall problem. The alternative, a monolithic model integrating all planning levels, has been rejected in the literature because of several reasons. In this study, we show that some of them do not hold for an integrated production planning model combining the planning tasks usually attributed to aggregate production planning and master production scheduling. Therefore, we develop a hierarchical and an integrated model considering both levels, aggregate production planning and master production scheduling. Computational tests show that it is possible to solve the integrated model and that it outperforms the hierarchical approach for all instances. Moreover, an indication is given why and when integration is beneficial.
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spelling Integrated versus hierarchical approach to aggregate production planning and master production schedulingThe hierarchical planning concept is commonly used for production planning. Dividing the planning process into subprocesses which are solved separately in the order of the hierarchy decreases the complexity and fits the common organizational structure. However, interaction between planning levels is crucial to avoid infeasibility and inconsistency of plans. Furthermore, optimizing subproblems often leads to suboptimal results for the overall problem. The alternative, a monolithic model integrating all planning levels, has been rejected in the literature because of several reasons. In this study, we show that some of them do not hold for an integrated production planning model combining the planning tasks usually attributed to aggregate production planning and master production scheduling. Therefore, we develop a hierarchical and an integrated model considering both levels, aggregate production planning and master production scheduling. Computational tests show that it is possible to solve the integrated model and that it outperforms the hierarchical approach for all instances. Moreover, an indication is given why and when integration is beneficial.2018-01-08T11:42:02Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5724http://dx.doi.org/10.1007/s00291-016-0450-2engVogel,TBernardo Almada-LoboAlmeder,Cinfo: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:RCAAP2023-05-15T10:20:13Zoai:repositorio.inesctec.pt:123456789/5724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:49.336493Repositório 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 Integrated versus hierarchical approach to aggregate production planning and master production scheduling
title Integrated versus hierarchical approach to aggregate production planning and master production scheduling
spellingShingle Integrated versus hierarchical approach to aggregate production planning and master production scheduling
Vogel,T
title_short Integrated versus hierarchical approach to aggregate production planning and master production scheduling
title_full Integrated versus hierarchical approach to aggregate production planning and master production scheduling
title_fullStr Integrated versus hierarchical approach to aggregate production planning and master production scheduling
title_full_unstemmed Integrated versus hierarchical approach to aggregate production planning and master production scheduling
title_sort Integrated versus hierarchical approach to aggregate production planning and master production scheduling
author Vogel,T
author_facet Vogel,T
Bernardo Almada-Lobo
Almeder,C
author_role author
author2 Bernardo Almada-Lobo
Almeder,C
author2_role author
author
dc.contributor.author.fl_str_mv Vogel,T
Bernardo Almada-Lobo
Almeder,C
description The hierarchical planning concept is commonly used for production planning. Dividing the planning process into subprocesses which are solved separately in the order of the hierarchy decreases the complexity and fits the common organizational structure. However, interaction between planning levels is crucial to avoid infeasibility and inconsistency of plans. Furthermore, optimizing subproblems often leads to suboptimal results for the overall problem. The alternative, a monolithic model integrating all planning levels, has been rejected in the literature because of several reasons. In this study, we show that some of them do not hold for an integrated production planning model combining the planning tasks usually attributed to aggregate production planning and master production scheduling. Therefore, we develop a hierarchical and an integrated model considering both levels, aggregate production planning and master production scheduling. Computational tests show that it is possible to solve the integrated model and that it outperforms the hierarchical approach for all instances. Moreover, an indication is given why and when integration is beneficial.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2018-01-08T11:42:02Z
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http://dx.doi.org/10.1007/s00291-016-0450-2
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http://dx.doi.org/10.1007/s00291-016-0450-2
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