Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Quality quandaries: Using a time series model for process adjustment and control
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 1, p. 134-141Article in journal (Refereed) Published
Abstract [en]

The behavior of a chemical manufacturing process can be characterized with a time series model. A time series model can control and adjust the manufacturing process. Time series control of a process is about the prediction that the process will deviate excessively from the target in the next time period and make the predicted difference to make compensatory adjustment in the opposite direction. A detailed example on how a nonstationary time series model can be be used to develop two types of charts has been provided, one for periodic adjustments of the process counteracting the naturally occurring common cause variability and one more traditional control chart based on the residuals to look for special causes. The nonstationary time series model requires the acknowledgment that processes are inherently nonstationary and work from that more realistic assumption rather than the traditional Shewhart model of a fixed error distribution around a constant mean. The process, once too far off from a given target, will be adjusted by bringing its level back to target while the data coming from the process continues to conform to the assumed nonstationary time series model.

Place, publisher, year, edition, pages
2008. Vol. 20, no 1, p. 134-141
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-15500DOI: 10.1080/08982110701771042Local ID: f0641831-14dc-49ed-9f7a-ebea4f7a09b9OAI: oai:DiVA.org:ltu-15500DiVA, id: diva2:988474
Note
Upprättat; 2008; 20150529 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Kulahci, Murat

Search in DiVA

By author/editor
Kulahci, Murat
In the same journal
Quality Engineering
Reliability and Maintenance

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 55 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf