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An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme
- Source :
- Computers & Industrial Engineering, Computers & Industrial Engineering, Elsevier, 2018, 126, pp.705-728. ⟨10.1016/j.cie.2018.10.008⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- Sometimes the quality of a process is best expressed by a relationship between response variables and explanatory variables. Checking over the time the stability of such functional relationships using statistical methods is called “profile monitoring”. Since 2007, when a detailed review paper in the field of profile monitoring was presented, an increasing number of papers have been published in this area. In this paper, we present a conceptual classification scheme and classify the papers in this area since 2008 up to 2018. The relevant papers are categorized and analyzed under different metrics and directions for future studies are recommended.
- Subjects :
- Scheme (programming language)
0209 industrial biotechnology
Information retrieval
General Computer Science
Process (engineering)
Computer science
media_common.quotation_subject
General Engineering
Stability (learning theory)
Classification scheme
02 engineering and technology
01 natural sciences
Field (computer science)
[STAT]Statistics [stat]
010104 statistics & probability
020901 industrial engineering & automation
Quality (business)
0101 mathematics
computer
ComputingMilieux_MISCELLANEOUS
computer.programming_language
media_common
Subjects
Details
- Language :
- English
- ISSN :
- 03608352
- Database :
- OpenAIRE
- Journal :
- Computers & Industrial Engineering, Computers & Industrial Engineering, Elsevier, 2018, 126, pp.705-728. ⟨10.1016/j.cie.2018.10.008⟩
- Accession number :
- edsair.doi.dedup.....dc2ead0c3fda7275d8316c97ec833fca
- Full Text :
- https://doi.org/10.1016/j.cie.2018.10.008⟩