| Summary: | 碩士 === 元智大學 === 工業工程與管理學系 === 101 === Failure mode and effect analysis (FMEA) is typically used as a problem prevention tool, aiming to improve or consolidate the basic customer requirements to avoid negative satisfaction, especially at design or manufacturing stage. Major benefits of implementing FMEA are improving the product/process quality and reliability and satisfying the customers. However, under abnormal production situations where several possible causes are equally likely, a high quality decision supporting model will enable engineers to efficiently and effectively respond to the occurrences and take accurate actions, with the purpose that the production line will be back to normal condition immediately. This research presents a hybrid approach that integrates FMEA and multiple criteria decision making techniques such as analytic network process (ANP) and simple multi-attribute rating technique (SMART) to resolve these dilemmas. ANP is capable of taking into account the interdependencies among various failure modes and effects, whereas SMART is a useful simple technique in integrating experts’ evaluation and making a good decision immediately. The SMART will not consider the interdependencies among the attributes and/or alternatives.
Either ANP or SMART approach will use the same attribute weights of the ANP structure established based on FMEA data and experts’ opinions. The software SUPER DECISIONS is applied to determine the attribute weights, as well as the importance ranking of the alternatives based on the ANP structure. The importance levels of these alternatives are also evaluated by the SMART technique using experts’ rating scores. The numerical results indicate that the ranking of the alternatives are the same for the two methods. This implies that the experts very much agree with each other regarding the importance ranking of the alternatives. Finally, the conclusions drawn in this research are more reliable and suitable than those in FMEA, since more experts are involved.
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