Constraint-Informed Information Systems in Space Management Utilization
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/19081 |
Resumo: | Declarative techniques such as Constraint Programming can be very effective in modeling and assisting management decisions. We present a method for managing university classrooms which extends the previous design of a Constraint-Informed Information System to generate the timetables while dealing with spatial resource optimization issues. We seek to maximize space utilization along two dimensions: classroom use and occupancy rates. While we want to maximize the room use rate, we still need to satisfy the soft constraints which model students’ and lecturers’ preferences. We present a constraint logic programming-based local search method which relies on an evaluation function that combines room utilization and timetable soft preferences. Based on this, we developed a tool which we applied to the improvement of classroom allocation in a University. Comparing the results to the current timetables obtained without optimizing space utilization, the initial versions of our tool manages to reach a 30% improvement in space utilization, while preserving the quality of the timetable, both for students and lecturers. |
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Constraint-Informed Information Systems in Space Management Utilizationconstraint-informed information systemsoptimizationconstraint logic programmingDeclarative techniques such as Constraint Programming can be very effective in modeling and assisting management decisions. We present a method for managing university classrooms which extends the previous design of a Constraint-Informed Information System to generate the timetables while dealing with spatial resource optimization issues. We seek to maximize space utilization along two dimensions: classroom use and occupancy rates. While we want to maximize the room use rate, we still need to satisfy the soft constraints which model students’ and lecturers’ preferences. We present a constraint logic programming-based local search method which relies on an evaluation function that combines room utilization and timetable soft preferences. Based on this, we developed a tool which we applied to the improvement of classroom allocation in a University. Comparing the results to the current timetables obtained without optimizing space utilization, the initial versions of our tool manages to reach a 30% improvement in space utilization, while preserving the quality of the timetable, both for students and lecturers.Coimbra Business School2016-11-15T17:25:13Z2016-11-152016-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/19081http://hdl.handle.net/10174/19081engipr@uevora.ptquaresma@uevora.ptdaniel.diaz@univ-paris1.frspa@uevora.pt282Rodrigues, IreneQuaresma, RuiDiaz, DanielAbreu, Salvadorinfo: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:RCAAP2024-01-03T19:07:46Zoai:dspace.uevora.pt:10174/19081Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:10:45.626399Repositório 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 |
Constraint-Informed Information Systems in Space Management Utilization |
title |
Constraint-Informed Information Systems in Space Management Utilization |
spellingShingle |
Constraint-Informed Information Systems in Space Management Utilization Rodrigues, Irene constraint-informed information systems optimization constraint logic programming |
title_short |
Constraint-Informed Information Systems in Space Management Utilization |
title_full |
Constraint-Informed Information Systems in Space Management Utilization |
title_fullStr |
Constraint-Informed Information Systems in Space Management Utilization |
title_full_unstemmed |
Constraint-Informed Information Systems in Space Management Utilization |
title_sort |
Constraint-Informed Information Systems in Space Management Utilization |
author |
Rodrigues, Irene |
author_facet |
Rodrigues, Irene Quaresma, Rui Diaz, Daniel Abreu, Salvador |
author_role |
author |
author2 |
Quaresma, Rui Diaz, Daniel Abreu, Salvador |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Rodrigues, Irene Quaresma, Rui Diaz, Daniel Abreu, Salvador |
dc.subject.por.fl_str_mv |
constraint-informed information systems optimization constraint logic programming |
topic |
constraint-informed information systems optimization constraint logic programming |
description |
Declarative techniques such as Constraint Programming can be very effective in modeling and assisting management decisions. We present a method for managing university classrooms which extends the previous design of a Constraint-Informed Information System to generate the timetables while dealing with spatial resource optimization issues. We seek to maximize space utilization along two dimensions: classroom use and occupancy rates. While we want to maximize the room use rate, we still need to satisfy the soft constraints which model students’ and lecturers’ preferences. We present a constraint logic programming-based local search method which relies on an evaluation function that combines room utilization and timetable soft preferences. Based on this, we developed a tool which we applied to the improvement of classroom allocation in a University. Comparing the results to the current timetables obtained without optimizing space utilization, the initial versions of our tool manages to reach a 30% improvement in space utilization, while preserving the quality of the timetable, both for students and lecturers. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11-15T17:25:13Z 2016-11-15 2016-07-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/19081 http://hdl.handle.net/10174/19081 |
url |
http://hdl.handle.net/10174/19081 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ipr@uevora.pt quaresma@uevora.pt daniel.diaz@univ-paris1.fr spa@uevora.pt 282 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Coimbra Business School |
publisher.none.fl_str_mv |
Coimbra Business School |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136589458178048 |