A decision support system framework for machine selection

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dc.contributor.authorNyanga, Lungileen_ZA
dc.contributor.authorVan der Merwe, Andre Francoisen_ZA
dc.contributor.authorMatope, Stephenen_ZA
dc.contributor.authorDewa, Mncedisi Trinityen_ZA
dc.date.accessioned2017-11-29T12:56:54Z
dc.date.available2017-11-29T12:56:54Z
dc.date.issued2014
dc.descriptionCITATION: Nyanga, L., et al. 2014. A decision support system framework for machine selection. In SAIIE26 Proceedings, 14–16 July 2014, Muldersdrift, South Africa.
dc.descriptionThe original publication is available at http://conferences.sun.ac.za/index.php/saiie
dc.description.abstractENGLISH ABSTRACT: Selecting the right machinery to machine a part is a multi criteria decision making problem which is crucial in production planning. The process becomes more complex and tedious when one has to choose from a variety of machines available in an online registry. This paper investigates this decision making process with the objective to increase machineutilisation for small, medium and micro enterprises. A real time information based decision support system is necessary to assist the decision maker. A decision support system framework for machine selection for a manufacturing agent is proposed based on the Analytical Hierarchy Process (AHP). A human expect uploads parameters for a part that has to be machines. Based on these parameters, suitable machines are sought for from an online machine registry and ranked according to their capability to produce the desired part.en_ZA
dc.description.urihttp://conferences.sun.ac.za/index.php/saiie/SAIIE26/paper/view/1146
dc.description.versionPublisher's version
dc.format.extent12 pagesen_ZA
dc.identifier.citationNyanga, L., et al. 2014. A decision support system framework for machine selection. In SAIIE26 Proceedings, 14–16 July 2014, Muldersdrift, South Africa
dc.identifier.urihttp://hdl.handle.net/10019.1/102517
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institute for Industrial Engineering
dc.rights.holderAuthors retain copyright
dc.subjectProduction planningen_ZA
dc.subjectDecision support systemsen_ZA
dc.subjectManufacturing capacityen_ZA
dc.subjectAnalytical Hierarchy Processen_ZA
dc.titleA decision support system framework for machine selectionen_ZA
dc.typeConference Paperen_ZA
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