Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant

Detalhes bibliográficos
Autor(a) principal: Duarte, Belmiro P. M.
Data de Publicação: 2008
Outros Autores: Santos, Lino O., Mariano, Jorge S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/3772
https://doi.org/10.1016/j.cor.2008.05.007
Resumo: This paper addresses the optimal design of the grinding section of a ceramic tile plant operating in a cyclic mode with the units (mills) following a batch sequence. The optimal design problem of this single product plant is formulated with a fixed time horizon of one week, corresponding to one cycle of production, and using a discrete-time resource task network (RTN) process representation. The size of the individual units is restricted to discrete values, and the plant operates with a set of limited resources (workforce and equipment). The goal is to determine the optimal number and size of the mills to install in the grinding section, the corresponding production schedule, and shift policy. This problem involves labor/semi-labor intensive (LI/SLI) units with a depreciation cost of the same order as that of the operation cost. The optimal design of the grinding section comprises the trade-off between these two costs. The resulting optimization formulation is of the form of a mixed integer linear programming (MILP) problem, solved using a branch and bound solver (CPLEX 9.0.2). The optimal solution is analyzed for various ceramic tile productions and different shift policies.Scope and Purpose
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spelling Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plantSchedulingResource task networkMixed-integer linear programmingCeramic industryThis paper addresses the optimal design of the grinding section of a ceramic tile plant operating in a cyclic mode with the units (mills) following a batch sequence. The optimal design problem of this single product plant is formulated with a fixed time horizon of one week, corresponding to one cycle of production, and using a discrete-time resource task network (RTN) process representation. The size of the individual units is restricted to discrete values, and the plant operates with a set of limited resources (workforce and equipment). The goal is to determine the optimal number and size of the mills to install in the grinding section, the corresponding production schedule, and shift policy. This problem involves labor/semi-labor intensive (LI/SLI) units with a depreciation cost of the same order as that of the operation cost. The optimal design of the grinding section comprises the trade-off between these two costs. The resulting optimization formulation is of the form of a mixed integer linear programming (MILP) problem, solved using a branch and bound solver (CPLEX 9.0.2). The optimal solution is analyzed for various ceramic tile productions and different shift policies.Scope and Purposehttp://www.sciencedirect.com/science/article/B6VC5-4SJ2WWC-1/1/3b1c46a108097a375d39b9eac02ce5522008-08-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/3772http://hdl.handle.net/10316/3772https://doi.org/10.1016/j.cor.2008.05.007engComputers & Operations Research. In Press, Corrected Proof:Duarte, Belmiro P. M.Santos, Lino O.Mariano, Jorge S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-11-06T16:48:55Zoai:estudogeral.uc.pt:10316/3772Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:59:21.166887Repositório 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 Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
title Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
spellingShingle Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
Duarte, Belmiro P. M.
Scheduling
Resource task network
Mixed-integer linear programming
Ceramic industry
title_short Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
title_full Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
title_fullStr Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
title_full_unstemmed Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
title_sort Optimal sizing, scheduling and shift policy of the grinding section of a ceramic tile plant
author Duarte, Belmiro P. M.
author_facet Duarte, Belmiro P. M.
Santos, Lino O.
Mariano, Jorge S.
author_role author
author2 Santos, Lino O.
Mariano, Jorge S.
author2_role author
author
dc.contributor.author.fl_str_mv Duarte, Belmiro P. M.
Santos, Lino O.
Mariano, Jorge S.
dc.subject.por.fl_str_mv Scheduling
Resource task network
Mixed-integer linear programming
Ceramic industry
topic Scheduling
Resource task network
Mixed-integer linear programming
Ceramic industry
description This paper addresses the optimal design of the grinding section of a ceramic tile plant operating in a cyclic mode with the units (mills) following a batch sequence. The optimal design problem of this single product plant is formulated with a fixed time horizon of one week, corresponding to one cycle of production, and using a discrete-time resource task network (RTN) process representation. The size of the individual units is restricted to discrete values, and the plant operates with a set of limited resources (workforce and equipment). The goal is to determine the optimal number and size of the mills to install in the grinding section, the corresponding production schedule, and shift policy. This problem involves labor/semi-labor intensive (LI/SLI) units with a depreciation cost of the same order as that of the operation cost. The optimal design of the grinding section comprises the trade-off between these two costs. The resulting optimization formulation is of the form of a mixed integer linear programming (MILP) problem, solved using a branch and bound solver (CPLEX 9.0.2). The optimal solution is analyzed for various ceramic tile productions and different shift policies.Scope and Purpose
publishDate 2008
dc.date.none.fl_str_mv 2008-08-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/3772
http://hdl.handle.net/10316/3772
https://doi.org/10.1016/j.cor.2008.05.007
url http://hdl.handle.net/10316/3772
https://doi.org/10.1016/j.cor.2008.05.007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers & Operations Research. In Press, Corrected Proof:
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