✦ LIBER ✦

Knowledge Acquisition from Assembly Operational Data Using Principal Components Analysis and Cluster Analysis

✍ Scribed by P.F. Cunha; Hans-Peter Wiendahl

Publisher: International Academy for Production Engineering
Year: 2005
Tongue: English
Weight: 835 KB
Volume: 54
Category: Article
ISSN: 0007-8506
DOI: 10.1016/s0007-8506(07)60042-0

No coin nor oath required. For personal study only.

✦ Synopsis

Difficulties identified in the use of performance measures to monitor and control manufacturing or assembly system behaviour justify the evaluation method presented in this paper. The ability to improve the effectiveness of both evaluation and decision-making tasks, based on the knowledge acquisition from operational data, is an important requirement for an effective planning and systems operation. The proposed evaluation method is based on the use of multivariate techniques -Principal Components Analysis and Cluster Analysisand will prevent the loss of information in each available set of measures and will promote effective use of data in the analysis of system performance.

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