2006
DOI: 10.1007/s00170-006-0714-0
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Development of a machine tool selection system using AHP

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Cited by 69 publications
(32 citation statements)
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“…Amin [22] developed the fuzzy approach and multi-criteria decision making (MCDM) based on data envelope analysis (DEA) as common methods to select manufacturing technologies. Çimren [23] developed a decision support system to determine cost analysis using analytical hierarchical process (AHP) for selection of machine tools. Chang [24] developed a framework to assist the evaluation and selection of the most precise manufacturing technology using AHP.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Amin [22] developed the fuzzy approach and multi-criteria decision making (MCDM) based on data envelope analysis (DEA) as common methods to select manufacturing technologies. Çimren [23] developed a decision support system to determine cost analysis using analytical hierarchical process (AHP) for selection of machine tools. Chang [24] developed a framework to assist the evaluation and selection of the most precise manufacturing technology using AHP.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, one of the alternatives in machine tool named MX-50HB was ranked in the first place if cost analysis is the most prior for all the criteria. However, once the most prior criteria changed to reliability, machine tool named V-40 became the first among alternatives [16]. Thus, it is possible to make the final decision if the priority among cost and reliability could be identified clearly.…”
Section: Application Of Analytic Hierarchy Processmentioning
confidence: 99%
“…Chang et al [4] have discussed and developed a manufacturing quality yield model for forecasting silicon wafer slicing based on the AHP framework. Çimren et al [5] have proposed a decision support system for MTS problem using AHP. As can be observed from the literature, AHP's systematic decision making way for MCDM problems was widely utilized in the current MTS literature.…”
Section: Introductionmentioning
confidence: 99%