Publicação
Sustainable production planning optimization using integer programming
| Resumo: | This paper presents how integer linear programming can be used to optimize and develop a sustainable production plan for a medium-sized cold stamping company. The objective is to develop a model to minimize the total production cost, which includes the manufacturing process cost, inventory holding cost, and unproductive machine cost. The model takes into account weekly demands, inventory levels, and idle machine time during a planning horizon of one month. The output is a plan containing all products that have to be manufactured, their weekly optimal quantities, and a prediction of the final inventory level. By minimizing the total production cost, the model ensures that the company is consuming only the necessary amount of resources. The mathematical model is related to the real-world constraints that are part of the company’s production scenario, reflecting both direct and indirect impacts of resource usage. This model enables to simulate three scenarios, and their results indicate that the total production cost is minimum when a company produces in volumes slightly greater than the demand. By better allocating resources, the company can contribute to sustainability in the context of responsible production. |
|---|---|
| Autores principais: | Zanella, Fernando |
| Outros Autores: | Vaz, Clara B. |
| Assunto: | Integer programming Production planning Sustainability |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173220100079616 |
|---|---|
| author | Zanella, Fernando |
| author2 | Vaz, Clara B. |
| author2_role | author |
| author_facet | Zanella, Fernando Vaz, Clara B. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Zanella, Fernando\"},{\"Person.name\":\"Vaz, Clara B.\",\"Person.identifier.orcid\":\"0000-0001-9862-6068\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Zanella, Fernando Vaz, Clara B. |
| datacite.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-03-01T15:09:16Z |
| datacite.date.embargoed.fl_str_mv | 2023-03-01T15:09:16Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Integer programming Production planning Sustainability |
| datacite.titles.title.fl_str_mv | Sustainable production planning optimization using integer programming |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Zanella, Fernando Vaz, Clara B. |
| dc.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-03-01T15:09:16Z |
| dc.date.embargoed.fl_str_mv | 2023-03-01T15:09:16Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/27380 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Integer programming Production planning Sustainability |
| dc.title.fl_str_mv | Sustainable production planning optimization using integer programming |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | This paper presents how integer linear programming can be used to optimize and develop a sustainable production plan for a medium-sized cold stamping company. The objective is to develop a model to minimize the total production cost, which includes the manufacturing process cost, inventory holding cost, and unproductive machine cost. The model takes into account weekly demands, inventory levels, and idle machine time during a planning horizon of one month. The output is a plan containing all products that have to be manufactured, their weekly optimal quantities, and a prediction of the final inventory level. By minimizing the total production cost, the model ensures that the company is consuming only the necessary amount of resources. The mathematical model is related to the real-world constraints that are part of the company’s production scenario, reflecting both direct and indirect impacts of resource usage. This model enables to simulate three scenarios, and their results indicate that the total production cost is minimum when a company produces in volumes slightly greater than the demand. By better allocating resources, the company can contribute to sustainability in the context of responsible production. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/27431331-8fbe-49f0-a286-59cde6f418b9/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
| id | ipb_226094ee08bc0cb4e2f23e78cbaa5ca3 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/27380 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/27380 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Zanella, Fernando Vaz, Clara B. Vaz, Clara B. https://www.ciencia-id.pt/9611-3386-E516 9611-3386-E516 http://orcid.org/0000-0001-9862-6068 0000-0001-9862-6068 |
| publishDate | 2022 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engpt_PTThis paper presents how integer linear programming can be used to optimize and develop a sustainable production plan for a medium-sized cold stamping company. The objective is to develop a model to minimize the total production cost, which includes the manufacturing process cost, inventory holding cost, and unproductive machine cost. The model takes into account weekly demands, inventory levels, and idle machine time during a planning horizon of one month. The output is a plan containing all products that have to be manufactured, their weekly optimal quantities, and a prediction of the final inventory level. By minimizing the total production cost, the model ensures that the company is consuming only the necessary amount of resources. The mathematical model is related to the real-world constraints that are part of the company’s production scenario, reflecting both direct and indirect impacts of resource usage. This model enables to simulate three scenarios, and their results indicate that the total production cost is minimum when a company produces in volumes slightly greater than the demand. By better allocating resources, the company can contribute to sustainability in the context of responsible production.application/pdfpt_PTSustainable production planning optimization using integer programmingZanella, FernandoPersonalVaz, Clara B.DSpacehttp://dspace.org/items/34bc350c-28d9-4b06-9874-b2b0dba58d1dDSpacehttp://dspace.org/items/34bc350c-28d9-4b06-9874-b2b0dba58d1dVazClara B.Ciência IDhttps://www.ciencia-id.pt9611-3386-E516ORCIDhttp://orcid.org0000-0001-9862-6068Researcher IDhttps://www.researcherid.comF-1519-2016Scopus Author IDhttps://www.scopus.com56352045500HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2023-03-01T15:09:16Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/27380http://purl.org/coar/access_right/c_abf2open accessInteger programmingProduction planningSustainability18584485 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/27431331-8fbe-49f0-a286-59cde6f418b9/downloadCongress of Smart Cities ICSC-CITIES 2022191204Equador |
| spellingShingle | Sustainable production planning optimization using integer programming Zanella, Fernando Integer programming Production planning Sustainability |
| status | SINGLETON |
| subject.fl_str_mv | Integer programming Production planning Sustainability |
| title | Sustainable production planning optimization using integer programming |
| title_full | Sustainable production planning optimization using integer programming |
| title_fullStr | Sustainable production planning optimization using integer programming |
| title_full_unstemmed | Sustainable production planning optimization using integer programming |
| title_short | Sustainable production planning optimization using integer programming |
| title_sort | Sustainable production planning optimization using integer programming |
| topic | Integer programming Production planning Sustainability |
| topic_facet | Integer programming Production planning Sustainability |
| url | http://hdl.handle.net/10198/27380 |
| visible | 1 |