An industrial perspective on implementing on-line applications of multivariate statistics

✍ Scribed by Ivan Miletic; Shannon Quinn; Michael Dudzic; Vit Vaculik; Marc Champagne

• Publisher: Elsevier Science
• Year: 2004
• Tongue: English
• Weight: 541 KB
• Volume: 14
• Category: Article
• ISSN: 0959-1524
• DOI: 10.1016/j.jprocont.2004.02.001

✦ Synopsis

Multivariate statistics (MVS) has enjoyed popularity in the applied science literature over the last decade. It has also been well received by industrial practitioners; however, industrial applications have had mixed results. In this paper, we focus on our experiences in developing multivariate statistical systems for industrial use. From these experiences, we identify a methodology for developing useful, long-standing industrial applications. We highlight features we feel are important in the successful development of on-line MVS applications, both technical and non-technical. Specifically, we focus on on-line systems for manufacturing environments. Many of the applications discussed grew out of industry-university collaborations. To end the paper, we recommend topics open for further academic research with an industrial focus.