A sequential test and a sequential sampling plan based on the process capability index Cpmk

2021 ◽  
Author(s):  
Michele Scagliarini
Keyword(s):  
Sequential Sampling ◽  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Sequential Test ◽  
Capability Index ◽  
Sequential Sampling Plan

Multiple Dependent State Sampling Plan Based on Process Capability Index

2013 ◽  
Vol 41 (2) ◽  
pp. 20120012 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun
Keyword(s):  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Capability Index ◽  
Dependent State

scholarly journals A mixed repetitive sampling plan based on process capability index

2013 ◽  
Vol 37 (24) ◽  
pp. 10027-10035 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun
Keyword(s):  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Capability Index

scholarly journals Inspection Plan Based on the Process Capability Index Using the Neutrosophic Statistical Method

Mathematics ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 631 ◽  
Author(s):  
Aslam ◽  
Albassam
Keyword(s):  
Production Process ◽  
Statistical Method ◽  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Capability Index ◽  
Variable Sampling ◽  
Classical Statistics ◽  
Neutrosophic Statistics

The Process Capability Index (PCI) has been widely used in industry to advance the quality of a product. Neutrosophic statistics is the more generalized form of classical statistics and is applied when the data from the production process or a product lot is incomplete, incredible, and indeterminate. In this paper, we will originally propose a variable sampling plan for the PCI using neutrosophic statistics. The neutrosophic operating function will be given. The neutrosophic plan parameters will be determined using the neutrosophic optimization solution. A comparison between plans based on neutrosophic statistics and classical statistics is given. The application of the proposed neutrosophic sampling plan will be given using company data.

A new mixed repetitive group sampling plan based on the process capability index for product acceptance

2018 ◽  
Vol 35 (2) ◽  
pp. 463-480 ◽  
Author(s):  
Balamurali Saminathan ◽  
Usha Mahalingam
Keyword(s):  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Optimal Parameters ◽  
Sampling Plans ◽  
Content Type ◽  
Practical Applications ◽  
Capability Index ◽  
Unknown Variance ◽  
Repetitive Group Sampling

Purpose The purpose of this paper is to propose a new mixed repetitive group sampling (RGS) plan based on the process capability index, Cpk, where the quality characteristics of interest follow the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications for both symmetric and asymmetric fraction non-conforming cases. The advantages of this proposed mixed sampling plan are also discussed. The proposed sampling plan is also compared with other existing sampling plans. Design/methodology/approach In order to determine the optimal parameters of the proposed mixed RGS plan based on Cpk, the authors constructed tables for various combinations of acceptable and limiting quality levels (LQLs). For constructing tables, the authors followed the approach of two points on the operating characteristic (OC) curve. The optimal problem is formulated as a non-linear programming where the objective function to be minimized is the average sample number (ASN) and the constraints are related to lot acceptance probabilities at acceptable quality level and LQL under the OC curve. Findings The proposed mixed RGS plan will be a new addition to the literature of acceptance sampling. It is shown that the proposed mixed plan involves minimum ASN with desired protection to both producers and consumers compared to other existing sampling plans. The practical application of the proposed mixed sampling plan is also explained with an illustrative real-time example. Originality/value In this paper, the authors propose a new mixed RGS plan based on the process capability index Cpk, where the quality characteristic of interest follows the normal distribution with unknown mean and unknown variance. Tables are constructed to determine the optimal parameters for practical applications. The proposed mixed sampling plan can be used in all production industries. This kind of mixed RGS plan is not available in the literature.

A New Mixed Variable Lot Size Sampling Plan Based on Process Capability Index

2014 ◽  
Vol 43 (6) ◽  
pp. 20140054 ◽  
Author(s):  
Muhammad Aslam ◽  
S. Balamurali ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun
Keyword(s):  
Process Capability ◽  
Process Capability Index ◽  
Sampling Plan ◽  
Lot Size ◽  
Capability Index ◽  
Mixed Variable
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