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dc.contributor.authorAyağ, Zeki
dc.contributor.authorÖzdemir, Rifat Gürcan
dc.date.accessioned2016-04-22T14:12:58Z
dc.date.available2016-04-22T14:12:58Z
dc.date.issued2007
dc.identifier.issn1064-1246
dc.identifier.urihttp://hdl.handle.net/11413/1122
dc.description.abstractIn mass production, assembly-line balancing (ALB) problem has been a critical and repetitive issue for companies for long time. On the other hand, equipment selection for stations has also been another important problem at the design stage of an assembly-line system. In this paper, both problems are handled simultaneously. Therefore first, goal programming (GP) method, a well-suited technique is used to develop a preemptive formulation to joint both of the problems, when the nature of the problem consists of several conflicting objectives, and some mathematical constraints on solutions. Second, an AHP method based on fuzzy scales which is incorporated with the GP is also used due to the fact that it takes both qualitative and quantitative judgments of decision-maker(s) into consideration to rank the equipment alternatives for stations by weight. The fuzzy AHP as one of the most commonly used multiple-criteria decision making (MCDM) methods has been effectively used for more than decade in both academic research and practice, and takes the vagueness and uncertainty on judgments of decision-maker(s) into consideration due to the fact that the crisp pairwise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). In short, in this study, a combined fuzzy AHP-GP approach is proposed to evaluating assembly-line design alternatives with equipment selection. An integer GP formulation is constructed, which also uses the fuzzy AHP scores of equipment alternatives, and employs them as one of the goals. Then, the mathematical model is solved to find out the ultimate alternative in terms of the minimized equipment cost and the maximized preference measures of decision-maker(s). The proposed approach is also illustrated on a sample case study.tr_TR
dc.language.isoen_UStr_TR
dc.publisherIOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDStr_TR
dc.relationJOURNAL OF INTELLIGENT & FUZZY SYSTEMStr_TR
dc.subjectAnalytic Hierarchy Processtr_TR
dc.subjectDecision Making Approachtr_TR
dc.subjectExtent Analysis Methodtr_TR
dc.subjectBalancing Problemtr_TR
dc.subjectSystemtr_TR
dc.subjectDesigntr_TR
dc.subjectEnvironmenttr_TR
dc.subjectAlgorithmstr_TR
dc.subjectLocationtr_TR
dc.subjectSolvetr_TR
dc.subjectAnalitik Hiyerarşi Süreçtr_TR
dc.subjectKarar Verme Yaklaşımıtr_TR
dc.subjectÖlçüde Analiz Yöntemitr_TR
dc.subjectDengeleme Problemitr_TR
dc.subjectSistemtr_TR
dc.subjectDizayntr_TR
dc.subjectÇevretr_TR
dc.subjectAlgoritmalartr_TR
dc.subjectYertr_TR
dc.subjectÇözmektr_TR
dc.titleA Combined Fuzzy AHP-goal Programming Approach to Assembly-Line Selectiontr_TR
dc.typeArticletr_TR
dc.contributor.authorIDTR141173tr_TR
dc.contributor.authorIDTR8785tr_TR


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