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dc.contributor.authorMinguella Canela, Joaquim
dc.contributor.authorBuj Corral, Irene
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.date.accessioned2020-04-20T09:29:30Z
dc.date.available2020-04-20T09:29:30Z
dc.date.issued2019-09-12
dc.identifier.citationMinguella-Canela, J.; Buj-Corral, I. Decision support models for the selection of production strategies in the paradigm of digital manufacturing, based on technologies, costs and productivity levels. A: "New trends in the use of artificial intelligence for the Industry 4.0". London: IntechOpen, 2019, p. 1-25.
dc.identifier.isbn978-1-83880-142-7
dc.identifier.urihttp://hdl.handle.net/2117/183976
dc.description.abstractDigital manufacturing has opened a new window in the way to approach the manufacture of parts. The possible switch from manufacturing and holding physical stock to manoeuvring with a fully-digital one is promising but still has not been undertaken-or only in a small proportion-by the majority of the manufacturing companies. What are the cost and productivity frontiers that halt the transformation taking place so far? When does it make sense, in terms of production volume and costs, to undertake this transformation? What level of savings could be achieved and what investments would be favourable? The base line of the present chapter is to depict quantitative tools to address the potential impact of endeavouring digital transformation in manufacturing environments, considering costing and production variables, as well as technological decision-making parameters. Keeping the modelling of the demand very basic, some exploration on the degree of postponement of the production is discussed. Also, decision support systems (DSSs) for manufacturing selection are reviewed. Finally, a case study serves to apply the mathematical framework presented and to quantify the results in a realistic industrial case. Using this case, the chapter outlines and describes how to apply artificial intelligence (AI) techniques to implement the DSSs.
dc.format.extent25 p.
dc.language.isoeng
dc.publisherIntechOpen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica::Processos de fabricació mecànica
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshArtificial intelligence--Engineering application
dc.subject.lcshEngineering--Data processing
dc.subject.otherProductivity
dc.subject.otherDigital transformation
dc.subject.otherDigital manufacturing
dc.subject.othercosts
dc.subject.otherDecision support systems
dc.subject.otherDecision support models
dc.subject.other3D printing
dc.subject.otherMachining
dc.subject.otherInjection moulding
dc.titleDecision support models for the selection of production strategies in the paradigm of digital manufacturing, based on technologies, costs and productivity levels
dc.typePart of book or chapter of book
dc.subject.lemacIntel·ligència artificial--Aplicacions a l'enginyeria
dc.subject.lemacEnginyeria--Informàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. TECNOFAB - Grup de Recerca en Tecnologies de Fabricació
dc.identifier.doi10.5772/intechopen.89535
dc.relation.publisherversionhttps://www.intechopen.com/books/new-trends-in-the-use-of-artificial-intelligence-for-the-industry-4-0/decision-support-models-for-the-selection-of-production-strategies-in-the-paradigm-of-digital-manufa
dc.rights.accessOpen Access
local.identifier.drac27681555
dc.description.versionPostprint (published version)
local.citation.authorMinguella-Canela, J.; Buj-Corral, I.
local.citation.pubplaceLondon
local.citation.publicationNameNew trends in the use of artificial intelligence for the Industry 4.0
local.citation.startingPage1
local.citation.endingPage25


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain