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Quality quandaries : Forecasting with seasonal time series models

Bisgaard, Søren (author)
Isenberg School of Management, University of Massachusetts Amherst, Eugene M. Isenberg School of Management, University of Massachusetts Amherst
Kulahci, Murat (author)
Department of Informatics and Mathematical Modelling, Technical University of Denmark
Isenberg School of Management, University of Massachusetts Amherst, Eugene M Isenberg School of Management, University of Massachusetts Amherst Department of Informatics and Mathematical Modelling, Technical University of Denmark (creator_code:org_t)
Informa UK Limited, 2008
2008
English.
In: Quality Engineering. - : Informa UK Limited. - 0898-2112 .- 1532-4222. ; 20:2, s. 250-260
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Forecasting is increasingly a part of the standard list among quality engineers specifically the domain of Six Sigma and quality engineering that deals with operational problems in manufacturing and service organizations. One of the most versatile approaches is the so-called Box-Jenkins approach using regular and seasonal integrated autoregressive moving average. The international airline data has been used with a seasonal autoregressive integrated moving average time series model to demonstrate how seasonal ARIMA models can be used to model cyclic data and how the model can be used for short term forecasting.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)

Keyword

Kvalitetsteknik
Quality Technology and Management

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Bisgaard, Søren
Kulahci, Murat
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ENGINEERING AND TECHNOLOGY
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Luleå University of Technology

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