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dc.contributor.authorIc, Yusuf Tansel
dc.contributor.authorYurdakul, Mustafa
dc.date.accessioned2021-08-17T11:16:29Z
dc.date.available2021-08-17T11:16:29Z
dc.date.issued2020
dc.identifier.isbn978-3-030-20494-5; 978-3-030-20493-8en_US
dc.identifier.issn2194-5357en_US
dc.identifier.urihttp://hdl.handle.net/11727/6270
dc.description.abstractMachine tools are widely used in manufacturing sectors; such as automotive industry, metal cutting industry, aerospace industry etc. Purchase of a machine tool is a long-term capital investment decision and requires a high initial investment cost. Machine tool producers offer a wide-ranging types and models of machine tools. On the other hand, expectations and requirements of the manufacturing companies differ depending on the parts produced and their strategic objectives. High stiffness, rigidity, metal cutting performance, surface finish and low tolerance range are common expectations from machine tools. This paper aims to develop a technical evaluation model to help manufacturing companies in their machine tool purchasing decisions. In the proposed model, first components used in machine tools are analyzed and based on this analysis a technical evaluation model is developed. The application of the developed model is illustrated by making a selection among nine different machine tool alternatives.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1007/978-3-030-20494-5_26en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTechnical evaluationen_US
dc.subjectMachine toolsen_US
dc.subjectMachine tool selectionen_US
dc.subjectModelen_US
dc.subjectMachine tool performance criteriaen_US
dc.subjectMachine tool componentsen_US
dc.titleA Component Based Model Developed for Machine Tool Selection Decisionsen_US
dc.typeProceedings Paperen_US
dc.relation.journalADVANCES IN MANUFACTURING, PRODUCTION MANAGEMENT AND PROCESS CONTROLen_US
dc.identifier.volume971en_US
dc.identifier.startpage279en_US
dc.identifier.endpage288en_US
dc.identifier.wos000507458100026en_US
dc.contributor.researcherIDAAI-1081-2020en_US


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