Publication
A hybrid strategy for oven optimization in aerospace manufacturing: lean principles and mathematical modelling
| datacite.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Pereira, M. Teresa | |
| dc.contributor.author | Pereira, Marisa G. | |
| dc.contributor.author | Ferreira, Fernanda A. | |
| dc.contributor.author | Silva, Francisco G. | |
| dc.contributor.author | Guimarães, André | |
| dc.date.accessioned | 2025-12-09T11:29:22Z | |
| dc.date.available | 2025-12-09T11:29:22Z | |
| dc.date.issued | 2025-10-16 | |
| dc.description.abstract | Adopting the Lean philosophy is essential for reducing costs and increasing productivity in industrial environments, where equipment efficiency plays a pivotal role. This study focuses on optimizing the use of an oven, a critical equipment, in the aircraft parts manufacturing process, in a company producing composite components for aerospace applications. A mathematical model based on the classic two-dimensional knapsack problem was developed to address inefficiencies in space utilization and workflow inconsistencies. The model was implemented to determine the optimal parts’ allocation, maximizing oven occupancy while ensuring efficient workflows. The study introduces a hybrid strategy that combines a structured allocation system with vertical shelving units to streamline part storage and improve the kiln-loading process. Extensive experiments validated the model’s performance, demonstrating its ability to support Lean principles by enhancing productivity and reducing costs in the aeronautical industry. This work underscores the importance of mathematical modelling for optimizing manufacturing processes and meeting the increasing demands of modern production environments. | por |
| dc.identifier.doi | 10.1007/978-3-032-05610-8_37 | |
| dc.identifier.isbn | 9783032056092 | |
| dc.identifier.isbn | 9783032056108 | |
| dc.identifier.issn | 2195-4356 | |
| dc.identifier.issn | 2195-4364 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/31127 | |
| dc.language.iso | eng | |
| dc.peerreviewed | n/a | |
| dc.publisher | Springer | |
| dc.relation | UIDB/50022/2020 | |
| dc.relation.hasversion | https://link.springer.com/chapter/10.1007/978-3-032-05610-8_37 | |
| dc.relation.ispartof | Lecture Notes in Mechanical Engineering | |
| dc.relation.ispartof | Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability | |
| dc.relation.ispartofseries | Lecture Notes in Mechanical Engineering | |
| dc.rights.uri | N/A | |
| dc.subject | Lean manufacturing | |
| dc.subject | Paint oven optimization | |
| dc.subject | Aerospace manufacturing | |
| dc.subject | Mathematical modelling | |
| dc.subject | Knapsack problem | |
| dc.subject | Green strategies | |
| dc.title | A hybrid strategy for oven optimization in aerospace manufacturing: lean principles and mathematical modelling | por |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2025 | |
| oaire.citation.conferencePlace | New York, United States | |
| oaire.citation.endPage | 374 | |
| oaire.citation.startPage | 366 | |
| oaire.citation.title | Flexible automation and intelligent manufacturing: the future of automation and manufacturing: intelligence, agility, and sustainability. FAIM 2025 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Ferreira | |
| person.givenName | Fernanda A. | |
| person.identifier | R-000-4TV | |
| person.identifier.ciencia-id | D116-9419-5778 | |
| person.identifier.orcid | 0000-0002-1335-7821 | |
| person.identifier.rid | N-4563-2013 | |
| person.identifier.scopus-author-id | 24723992800 | |
| relation.isAuthorOfPublication | aaa18584-508e-46b1-9b50-4e174c0e142c | |
| relation.isAuthorOfPublication.latestForDiscovery | aaa18584-508e-46b1-9b50-4e174c0e142c |