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dc.contributor.authorAyağ, Zeki
dc.contributor.authorÖzdemir, Rifat Gürcan
dc.date.accessioned2016-04-19T12:25:27Z
dc.date.available2016-04-19T12:25:27Z
dc.date.issued2006-04
dc.identifier.urihttp://hdl.handle.net/11413/1002
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 why; fuzzy 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 techniques; fuzzy logic and AHP are come together, referred to as fuzzy AHP. First, the fuzzy AHP technique is used to weight the alternatives under multiple attributes; second 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).tr_TR
dc.language.isoen_UStr_TR
dc.publisherSPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDStr_TR
dc.relationJOURNAL OF INTELLIGENT MANUFACTURINGtr_TR
dc.subjectmachine tool selectiontr_TR
dc.subjectfuzzy logictr_TR
dc.subjectmultiple-criteria decision makingtr_TR
dc.subjectanalytic hierarchy process (AHP)tr_TR
dc.subjectBenefit/Cost (B/C) ratio analysistr_TR
dc.subjectdecision-support systemtr_TR
dc.subjectmanufacturing systemstr_TR
dc.subjectproduct developmenttr_TR
dc.subjectselectiontr_TR
dc.subjectmodeltr_TR
dc.subjectenvironmenttr_TR
dc.subjectdesigntr_TR
dc.subjecttezgah seçimitr_TR
dc.subjectBulanık mantıktr_TR
dc.subjectÇok kriterli karar vermetr_TR
dc.subjectanalitik hiyerarşi süreci (AHP)tr_TR
dc.subjectFayda / Maliyet (F / M) oranı analizitr_TR
dc.subjectkarar destek sistemitr_TR
dc.subjectimalat sistemleritr_TR
dc.subjectürün geliştirmetr_TR
dc.subjectseçimtr_TR
dc.subjectmodeltr_TR
dc.subjectçevretr_TR
dc.subjectdizayntr_TR
dc.titleA fuzzy AHP approach to evaluating machine tool alternativestr_TR
dc.typeArticletr_TR
dc.contributor.authorIDTR8785tr_TR
dc.contributor.authorIDTR141173tr_TR


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