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dc.contributor.authorAyağ, Zeki
dc.contributor.authorÖzdemir, Rifat Gürcan
dc.date.accessioned2019-06-27T08:06:50Z
dc.date.available2019-06-27T08:06:50Z
dc.date.issued2006
dc.identifier.issn0956-5515en_US
dc.identifier.issn1572-8145en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1234
dc.identifier.urihttps://doi.org/10.1007/s10845-005-6635-1
dc.description.abstractSelecting process of a machine tool has been very important issue for companies for years because the improper selection of a machine tool might cause of many problems affecting negatively on productivity precision flexibility and company's responsive manufacturing capabilities. On the other hand selecting the best machine tool from its increasing number of existing alternatives in market are multiple-criteria decision making (MCDM) problem in the presence of many quantitative and qualitative attributes. Therefore in this paper an analytic hierarchy process (AHP) is used for machine tool selection problem due to the fact that it has been widely used in evaluating various kinds of MCDM problems in both academic researches and practices. However due to the vagueness and uncertainty on judgments of the decision-maker(s) the crisp pair wise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). That is whyen_US]
dc.description.abstractfuzzy number logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP. Shortly in this study an intelligent approach is proposed where both techniquesen_US]
dc.description.abstractfuzzy logic and AHP are come together referred to as fuzzy AHP. First the fuzzy AHP technique is used to weight the alternatives under multiple attributesen_US]
dc.description.abstractsecond Benefit/Cost (B/C) ratio analysis is carried out by using both the fuzzy AHP score and procurement cost of each alternative. The alternative with highest B/C ratio is found out and called as the ultimate machine tool among others. In addition a case study is also presented to make this approach more understandable for a decision-maker(s).en_US]
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMachine tool selectionen_US
dc.subjectFuzzy logicen_US
dc.subjectMultiple-criteria decision makingen_US
dc.subjectAnalytic hierarchy process (AHP)en_US
dc.subjectBenefit/Cost (B/C) ratio analysisen_US
dc.titleA fuzzy AHP approach to evaluating machine tool alternativesen_US
dc.typearticleen_US
dc.identifier.startpage179en_US
dc.identifier.endpage190
dc.relation.journalJournal Of Intelligent Manufacturingen_US
dc.identifier.issue2
dc.identifier.volume17en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000236500400001en_US
dc.identifier.doi10.1007/s10845-005-6635-1en_US
dc.identifier.scopus2-s2.0-33645529860en_US
dc.institutionauthorAyağ, Zekien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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