Industrial statistics deals with the assurance and improvement of quality inindustrial (production-) processes and products.
Quality Assurance
One of the most important considerations regarding a production process is the assurance of a stable and steady quality of the process output, i.e., the process is under control. Otherwise, if the process shows erratic and undesired behavior, it is out of control. An underlying random variable Y measuring the quality of the process, is often assumed to have a distribution P θ , with θ being a parameter(-vector), possibly mean and variance θ = (μ, σ 2).
Acceptance Sampling
Acceptance sampling aims at accepting or rejecting a lot of products by inspecting only a small proportion of the items (Kenett and Zacks 1998). Items are chosen according to an acceptance sampling scheme and rated as either conforming or nonconforming to given quality specifications. An important characterization of an acceptance sampling plan is given by the operating...
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Fang K-T, Li R, Sudjianto A (2006) Design and modeling for computer experiments. Computer Science and Data Analysis Series. Chapman and Hall/CRC, Boca Raton, FL
Kenett R, Zacks S (1998) Modern industrial statistics. Duxbury, Pacific Grove, CA
Kotz A, Lovelace C (1998) Process capability indices in theory and practice. Arnold, London
Montgomery D (2009) Statistical quality control: a modern introduction. Wiley series in probability and statistics. Wiley, Hoboken, NJ
Montgomery D, Woodall W (2008) An overview of six sigma. Int Stat Rev 76(3):329–346
Myers R, Montgomery D, Andersion-Cook C (2009) Response surface methodology – process and product optimization using designed experiments. Wiley series in probability and statistics. Wiley, Hoboken, NJ
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© 2011 Springer-Verlag Berlin Heidelberg
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Gather, U., Kuhnt, S., Mühlenstädt, T. (2011). Industrial Statistics. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_301
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DOI: https://doi.org/10.1007/978-3-642-04898-2_301
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