International Journal of Supply Chain Management
Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)

Bayesian Group Chain Sampling Plan Based on Beta Binomial Distribution Through Quality Region

Waqar Hafeez (Unknown)
Nazrina Aziz (Unknown)

Article Info

Publish Date
29 Dec 2019

Abstract

In this article, we introduced Bayesian Group Chain Sampling Plan (BGChSP) using different combination of parameters. In acceptance sampling plan, the random fluctuations can be describe in the selection of distribution Bayesian approach which is based on prior process history. We apply beta distribution as a suitable prior distribution. By considering consumer’s and producer’s risks, we consider Probabilistic and Indifference Quality Regions for the specified AQL and LQL. For the selection of parameters in BGChSP, Maximum Allowable Percent Defectives (MAPD) is also considered.

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Journal Info
International Journal of Supply Chain Management
Website

Abbrev

IJSCM

Publisher

ExcelingTech

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...