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
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 34031-34044 ◽  
Author(s):  
G. Srinivasa Rao ◽  
Muhammad Ali Raza ◽  
Muhammad Aslam ◽  
Ali Hussein AL-Marshadi ◽  
Chi-Hyuck Jun

2013 ◽  
Vol 37 (24) ◽  
pp. 10027-10035 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun

Mathematics ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 631 ◽  
Author(s):  
Aslam ◽  
Albassam

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.


2014 ◽  
Vol 43 (1) ◽  
pp. 20130009 ◽  
Author(s):  
Muhammad Aslam ◽  
Saminathan Balamurali ◽  
Muhammad Azam ◽  
G. Sirnvasa Rao ◽  
Chi-Hyuck Jun

Sign in / Sign up

Export Citation Format

Share Document