New group chain acceptance sampling plans (NGChSP-1) using minimum angle method for generalized exponential distribution
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, th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/17184/1/22.pdf http://journalarticle.ukm.my/17184/ https://www.ukm.my/jsm/malay_journals/jilid50bil4_2021/KandunganJilid50Bil4_2021.html |
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| Institution: | Universiti Kebangsaan Malaysia |
| Language: | English |
| Summary: | 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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