Designing an economic rectifying sampling plan in the presence of two markets
DOI10.1080/03610926.2017.1317807zbMath1390.62342OpenAlexW2606213288MaRDI QIDQ4639114
Mohammad Saber Fallah Nezhad, Tahereh Jafari Nodoushan
Publication date: 2 May 2018
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1317807
process meansampling planconsumer riskproducer riskinspection erroreconomic designrectifying inspectionTaguchi loss function
Applications of statistics in engineering and industry; control charts (62P30) Reliability, availability, maintenance, inspection in operations research (90B25)
Cites Work
- Determining the optimum process mean based on quadratic quality loss function and rectifying inspection plan
- Design of economically optimal acceptance sampling plans with inspection error
- Economic manufacturing quantity, optimum process mean, and economic specification limits setting under the rectifying inspection plan
- An optimization model for designing Acceptance Sampling Plan Based on Cumulative Count of Conforming Run Length Using Minimum Angle Method
- An optimization model for economic design of sampling plans based on conforming run length considering outgoing quality
- A process targeting model for a product with two dependent quality characteristics using 100% inspection
- Process-targeting model for a product with two dependent quality characteristics using acceptance sampling plans
- Rectifying Inspection of Lots
- Bayesian Variables Acceptance-Sampling Plans: Quadratic Loss Function and Step-Loss Function
- A Review of Acceptance Sampling Schemes with Emphasis on the Economic Aspect
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