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Engineering-to-order manufacturing

dc.contributor.authorFortes, C. S.
dc.contributor.authorTenera, A. B.
dc.contributor.authorCunha, P. F.
dc.contributor.authorTeixeira, J. P.
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblProduction Engineering Institute
dc.date.accessioned2024-03-26T00:04:46Z
dc.date.available2024-03-26T00:04:46Z
dc.date.issued2023-06
dc.descriptionPublisher Copyright: © 2023 Production Engineering Institute. All rights reserved.
dc.description.abstractEngineer-to-Order (ETO) manufacturing companies involve customised production products based on specific customer requirements, and face a significant challenge. Some of those challenges are related with this type of company’s activities in production scheduling, planning and control, efficiency improvement and lead time reduction. The present study was conducted with a systematic literature review and a survey from ETO firms to identify the most frequent and critical problems. Among the most critical issues identified is the difficulty in optimising production performance (P3), with a GCI value of 16, implying that both time and cost share the same critical level. An analysis using a proposed Criticality Matrix was then performed enabling companies to prioritise decision-making and resource allocation. The results highlight the importance of adopting mass customisation strategies, innovative approaches and workflow optimisation. Continuous monitoring and analysis of criticality levels can also help ETO companies identify emerging issues and improve informed decisions. Effective communication and collaboration among stakeholders were also identified as vital. Future research could be done expanding further the study sample and developing decision-support tools for ETO manufacturing companies. This study contributes to the field by providing a new criticality matrix for ETO companies to understand better and address their production challenges, aiding in decision-making and resource allocation.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent12
dc.format.extent1161169
dc.identifier.doi10.14743/apem2023.2.466
dc.identifier.issn1854-6250
dc.identifier.otherPURE: 85912699
dc.identifier.otherPURE UUID: 86ff4a27-039c-4878-b983-cf9436427aec
dc.identifier.otherScopus: 85175576913
dc.identifier.otherWOS: 001123969800005
dc.identifier.urihttp://hdl.handle.net/10362/165437
dc.identifier.urlhttps://www.scopus.com/pages/publications/85175576913
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCommunication and collaboration
dc.subjectCritical factors
dc.subjectDecision-making
dc.subjectEngineer-to-order
dc.subjectLiterature review
dc.subjectProduction planning and control
dc.subjectProduction scheduling
dc.subjectResource allocation
dc.subjectWorkflow optimisation
dc.subjectNuclear and High Energy Physics
dc.subjectMechanical Engineering
dc.subjectManagement Science and Operations Research
dc.subjectIndustrial and Manufacturing Engineering
dc.subjectManagement of Technology and Innovation
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.titleEngineering-to-order manufacturingen
dc.title.subtitleA criticality analysis of key challenges and solutions based on literature reviewen
dc.typereview
degois.publication.firstPage187
degois.publication.issue2
degois.publication.lastPage198
degois.publication.titleAdvances in Production Engineering And Management
degois.publication.volume18
dspace.entity.typePublication
rcaap.rightsopenAccess

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