Six Sigma performance for non-normal processes

DOI10.1016/j.ejor.2015.06.036zbMath1346.90266OpenAlexW609972482MaRDI QIDQ320135

Jawad Hassan, Mustapha Nourelfath, Tariq A. Aldowaisan

Publication date: 6 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.06.036

zbMATH Keywords

optimizationproject selectionquality managementnon-normal distributionsSix Sigma

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (6)

Developing a performance index with a Poisson process and an exponential distribution for operations management and continuous improvement ⋮ Performance evaluation of exponential distribution using Six Sigma-based tail probabilities ⋮ A systematic look at the gamma process capability indices ⋮ Using parametric classification trees for model selection with applications to financial risk management ⋮ A note on decision making method for product acceptance based on process capability indices \(C_{\mathrm {pk}}\) and \(C_{\mathrm{pmk}}\) ⋮ Efficient truncated repetitive lot inspection using Poisson defect counts and prior information

Cites Work

• Service level robustness in stochastic production planning under random machine breakdowns
• Capability adjustment for gamma processes with mean shift consideration in implementing six sigma program
• Process capability estimation for non-normal quality charactersitics using Clement, Burr and Box--Cox methods

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