A New Approach in the Economic Design of Acceptance Sampling Plans Based on Process Yield Index and Taguchi Loss Function

2021 ◽  
pp. 107155
Author(s):  
Atefe Banihashemi ◽  
Mohammad Saber Fallahnezhad ◽  
Amirhossein Amiri
Keyword(s):  
Loss Function ◽  
Economic Design ◽  
Acceptance Sampling ◽  
Process Yield ◽  
Sampling Plans ◽  
New Approach ◽  
Taguchi Loss Function ◽  
Acceptance Sampling Plans

An Economic Design of Rectifying Double Acceptance Sampling Plans via Maxima Nomination Sampling

2017 ◽  
Vol 32 (2) ◽  
Author(s):  
Mansooreh Razmkhah ◽  
Bahram Sadeghpour Gildeh ◽  
Jafar Ahmadi
Keyword(s):  
Loss Function ◽  
High Performance ◽  
High Sensitivity ◽  
Simple Random Sampling ◽  
Quality Characteristics ◽  
Total Loss ◽  
Acceptance Sampling ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
The One

AbstractIn industry when a lot of items is sent for inspection, double acceptance sampling plans (DASP) are considered as a way to decide on acceptance or rejection of the lot. If the lot contains items with high sensitivity, then the measuring of quality characteristics is destructive or costly. So we are looking for a method to decide that it has high performance. Using the ranked set sampling (RSS) method will make it stricter and more accurate whether or not to accept a lot. Moreover, it is affordable and will not burden extra costs on the buyer or the producer. In this paper, by using a special type of RSS, with the name of maxima nomination sampling (MNS), we design a DASP with regards to the total loss function. The results indicate that the total loss function, which is acquired by the MNS method, has lower values than the one using the simple random sampling (SRS) method.

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