Aykroyd, RG orcid.org/0000-0003-3700-0816, Leiva, V and Ruggeri, F (2019) Recent developments of control charts and identification of big data sources and future trends of current research. Technological Forecasting and Social Change, 144. pp. 221-232. ISSN 0040-1625
Abstract
Control charts are one of the principal tools to monitor dynamic processes with the aim of rapid identification of changes in the behaviour of these processes. Such changes are usually associated with a move from an in-control condition to an out-of-control condition. The paper briefly reviews the historical origins and includes examples of recent developments, focussing on their use in fields different from the industrial applications in which they were initially derived and often employed. It also focusses on cases which depart from the commonly used Gaussian assumption and then considers potential effects of the big data revolution on future uses. A bibliometric analysis is also presented to identify distinct groups of research themes, including emerging and underdeveloped areas, which are hence potential topics for future research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, Elsevier. This is an author produced version of an article published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Bibliometric analysis; Big data; Co-word analysis; Non-normality; R software; Statistical process control; Text-mining |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jan 2019 12:10 |
Last Modified: | 05 Oct 2020 00:40 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.techfore.2019.01.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140651 |