Fuzzy Sampling Strategy Based on IPD
V. Jemmy Joyce1, K. Rebbeca Jebaseeli Edna2, Evanzlin P.3, Bazil Wilfred C.4
1,2,3,4Assistant Professor, Karunya Institute of Technology and Sciences, Coimbatore, India
Emails: jemmy@karunya.edu; edna@karunya.edu; evenzalin@karunya.edu; wilfbaz@karunya.edu
Abstract
If a production process modification is implemented with the intention of enhancing product quality, IPD models a suitable probability distribution for the number of sample defects. If a manufacturing process intervention is done with the purpose of increasing product quality, IPD models a suitable probability distribution for the sample's total number of defects. When the production process with the interference parameter is considered, fuzzy sampling plans based on IPD are found to be more effective than the current strategy. The Intervened Poisson distribution is used to develop single sampling strategy for such lots when there is ambiguity regarding the percentage of defective items. With fuzzy probability, the plan's operating characteristic curve is obtained. The mean of outgoing quality is derived using fuzzy parameters.
Keywords: Fuzzy OC; FAOQ; fuzzy probability; fuzzy Poisson distribution; Fuzzy OC band; fuzzyIPD(fIPD)