Optimized np Attribute Control Chart Using Triple Sampling
نویسندگان
چکیده
This paper studies an attribute control chart for monitoring the number of nonconforming items using a triple sampling (TS-np) which has not yet been applied to charts. The design and procedure decision about state process are given. Mathematical expressions average run length (ARL) in-control out-of-control processes sample (ASN) A bi-objective genetic algorithm that seeks minimize ASN probability type 2 error is implemented in order optimize TS-np chart. comparison between TS-np, single np (SS-np), double (DS-np), multiple dependent repetitive (MDSRS) charts carried out terms (ARL1). Tables ARL1 values presented with MDSRS DS-np various scenarios. operation proposed shown through simulated data. Finally, it concluded better performance detecting small moderate shifts rate (p0) compared DS-np.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math10203791