A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology

The selection of advanced manufacturing technologies (AMTs) is an essential yet complex decision that requires careful consideration various performance criteria. In real-world applications, there are cases observations difficult to measure precisely, represented as linguistic terms, or the data need be estimated. Since growth engineering sciences has been key reason for increased utilization AMTs, this paper develops a fuzzy network envelopment analysis (DEA) AMT alternatives considering multiple decision-makers (DMs) and weight restrictions when input output numbers. By viewing DMs one, provided by each DM can then taken into account in evaluating overall performances alternatives. solution process, we obtain efficiency scores alternative at same time, relationship which former weighted average latter also derived. final evaluation results AMTs numbers, ranking procedure employed determine most preferred one. An example used illustrate applicability proposed methodology.