Selection of Generalized Two Plan System Using Minimum Angle Method

2014 ◽  
Vol 3 (1) ◽  
pp. 65-72 ◽  
Author(s):  
KK Suresh ◽  
KX Vinitha
Keyword(s):  
Minimum Angle ◽  
Angle Method ◽  
Selection Of

Selection of single sampling variables plans based on the minimum angle

1997 ◽  
Vol 24 (2) ◽  
pp. 207-218 ◽  
Author(s):  
V. Soundararajan ◽  
A. L. Christina
Keyword(s):  
Minimum Angle ◽  
Selection Of

scholarly journals New Group Chain Acceptance Sampling Plans (NGChSP-1) using Minimum Angle Method for Generalized Exponential Distribution

2021 ◽  
Vol 50 (4) ◽  
pp. 1121-1129
Author(s):  
Mohd Azri Pawan Teh ◽  
Nazrina Aziz ◽  
Zakiyah Zain
Keyword(s):  
Exponential Distribution ◽  
Optimal Number ◽  
Design Parameters ◽  
Acceptance Sampling ◽  
Generalized Exponential Distribution ◽  
Acceptance Criteria ◽  
Sampling Plans ◽  
Acceptance Sampling Plans ◽  
Minimum Angle ◽  
Angle Method

The established group chain acceptance sampling plans (GChSP-1) functions with five acceptance criteria, while the modified group of chain acceptance sampling plans (MGChSP-1) operates with three acceptance criteria. Since the acceptance criteria affect the performances of the sampling plans, therefore, this article suggests a balanced approach by introducing a new group of chain acceptance sampling plans (NGChSP-1), where it functions with four acceptance criteria. The NGChSP-1 is developed by using minimum angle method which caters for producer’s and consumer’s risks. The generalized exponential distribution is selected as the lifetime distribution and the simulation for the NGChSP-1 is conducted at various values of design parameters using the Scilab programming. The finding shows that the optimal number of groups and the corresponding smallest theta for NGChSP-1 are smaller compared to those for the GChSP-1. For illustration purposes, the NGChSP-1 is then applied to real data of air conditioning equipment.

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