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. A sampling plan is a pilot tool for a supply and demand chain quality checkstrategy. These plans proved to be economically viable for the qualityinspection processes but the uncertainty in the plan parameters challenged thereliability of the application of traditional acceptance sampling plans. Thisstudy proposes a generalized fuzzy multiple deferred state (GFMDS) samplingplan for attributes that consider the ambiguity in determining the exact valueof the percentage of defectives in a batch. The performance measures have beenderived and the plan is designed in terms of a minimum average sample number. Acomparison study is done over the existing fuzzy acceptance sampling plans forattributes and a pertinent observation is made regarding the efficiency of theGFMDS scheme. The effect of inspection errors on the sampling procedure isanalyzed and the drop in the acceptance criteria of the plan is observedcorresponding to the intensified inspection errors. Several numerical examplesare presented to validate the results

Design of generalized fuzzy multiple deferred state (GFMDS) sampling plan for attributes