Determining optimal laser-beam cutting equipment investment through a robust optimization modeling approach

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dc.contributor.authorFeller J.
dc.contributor.authorMac Cawley A.F.
dc.contributor.authorRamos-Grez J.A.
dc.contributor.authorFé-Perdomo I.L.
dc.contributor.authorFé-Perdomo I.L.
dc.date.accessioned2024-01-10T14:22:41Z
dc.date.available2024-01-10T14:22:41Z
dc.date.issued2021
dc.description.abstract© 2021 Feller et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.The acquisition of Advanced Manufacturing Technologies (AMT), such as high-power fiber or CO2 laser cutting equipment, generally involves high investment levels. Its payback period is usually more extended, and there is a moderate-to-high risk involved in adopting these technologies. In this work, we present a robust model that optimizes equipment investing decisions, considers the process’s technical constraint and finds an optimal production plan based on the available machinery. We propose a linear investment model based on historical demand information and take physical process parameters for a LASER cutting equipment, such as cutting speed and gas consumption. The model is then transformed into a robust optimization model which considers demand uncertainty. Second, we determine the optimal production plan based on the results of the robust optimization model and assuming that demand follows a normal distribution. As a case study, we decided on the investment and productive plan for a company that offers Laser-Beam Cutting (LBC) services. The case study validates the effectiveness of the proposed model and proves the robustness of the solution. For this specific application of the model, results showed that the optimal robust solution could increase the company’s expected profits by 6.4%.
dc.description.funderAgencia Nacional de Investigaci?n y Desarrollo
dc.description.funderAgencia Nacional de Investigaci?n y Desarrollo-Fondecyt
dc.description.funderFondecyt
dc.fuente.origenScopus
dc.identifier.doi10.1371/journal.pone.0254893
dc.identifier.eissn19326203
dc.identifier.issn19326203
dc.identifier.pubmedidMEDLINE:34297748
dc.identifier.scopusidSCOPUS_ID:85111119662
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0254893
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/79985
dc.identifier.wosidWOS:000678128300049
dc.information.autorucFacultad de Ingeniería; Mac Cawley Vergara, Alejandro Francisco; S/I; 81775
dc.issue.numeroe0254893
dc.language.isoen
dc.nota.accesoSin adjunto
dc.publisherPublic Library of Science
dc.revistaPLoS ONE
dc.rightsregistro bibliográfico
dc.titleDetermining optimal laser-beam cutting equipment investment through a robust optimization modeling approach
dc.typeartículo
dc.volumen16
sipa.codpersvinculados81775
sipa.indexWos
sipa.indexScopus
sipa.indexPubmed
sipa.trazabilidadCarga SIPA;09-01-2024
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