TY  - JOUR
T1  - An Approach in Finding Number of Optimal Groups for Group Chain Acceptance
Sampling Plans (GChSP) by using Minimum Angle Method
AU - Teh, Mohd Azri Pawan AU - Aziz, Nazrina AU - Zain, Zakiyah 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 12
SP  - 4067
EP  - 4073
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4067.4073
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4067.4073
KW  - producer’s risk
KW  -consumer’s risk
KW  -Group chain acceptance sampling plan
KW  -number of optimal groups
KW  -minimum angle method
KW  -slight issue
AB  - There are several methods used such as minimizing the consumer’s risk and minimum angle method(minimizing consumer’s and producer’s risks simultaneously) when developing a new acceptance sampling plan. For the minimizing consumer’s risk method, researchers have conducted a thorough research and all the
findings using this method are well-discussed. However, for the minimum angle method, there is a slight issue
when researchers discuss their findings which is they do not present the ultimate finding using the proposed
method. That is the number of groups reported in the findings does not reflect the number of optimal groups
associated with the smallest angle. Therefore, this study proposes an approach for finding number of optimal
for Group Chain acceptance Sampling Plan (GChSP) by using minimum angle method. By using this approach,
the number optimal of groups is obtained when the angle has the smallest value. The smallest angle is crucial,
since, it discriminates a good lot and a bad lot better. Apart from that, it resembles the ideal Operating
Characteristic (OC) curve.
ER  -