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Ahp decision matrix weight
Ahp decision matrix weight













Sustainable similarity measures of the reconfigurable machines while the Euclidean distance estimates the distances of the indicators to best and worst sustainable performance in order to identify the sustainability indicators for improvement. The cosine similarity measures of the sustainability indicators were aggregated to estimate the The viable links are fuzzified using the fuzzy trapezoidal set because of the multi-dimensions and units of the sustainability indicators. The chart involves the identification of viable links of the sub-indicators of an indicator and the sub-indicators of other indicators. Peculiar and traditional sustainability indicators and their sub-indicators. An index relating chart approach is proposed for determining the indices of the The methodology entails the application of four peculiar sustainability indicators (Reconfigurability, Manufacturing, Functionality, and Life Cycle Analysis) that are suitable for reconfigurable machines alongside the traditional sustainability indicators (Environmental, Social, and Economic). This paper presents the sustainability assessment for reconfigurable machines based on cosine similarity measures and Euclidean distances. The results of the two methods are presented graphically and the variations in the results obtained are used to judge the suitable method among both processes for the optimal design The decision criteria and evaluation technique used during this concept selection process is novel thus calling for its application in design of engineering components. The weighted decision matrix and analytical hierarchy process was used to compare these concepts. A computer aided design approach of four concepts was developed for a reconfigurable assembly fixture, based on functional requirements, cost, and manufacturability. Concept selection is a time consuming activity in the engineering design process, because it involves decision making and consideration of multiple factors. They are precision components which require an intensive design process due to their usage and interaction with other components in the assembly system. Reconfigurable assembly fixtures are major components of a reconfigurable assembly system.















Ahp decision matrix weight