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Quality quandaries: Forecasting with seasonal time series models
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.ORCID iD: 0000-0003-4222-9631
2008 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 20, no 2, p. 250-260Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2008. Vol. 20, no 2, p. 250-260
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-16049DOI: 10.1080/08982110801924624Local ID: fa15257c-31ef-4b65-a18b-0e1fc762aff8OAI: oai:DiVA.org:ltu-16049DiVA, id: diva2:989025
Note
Upprättat; 2008; 20150528 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

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Kulahci, Murat

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