Variation Source Identification in Manufacturing Processes Based on Relational Measurements of Key Product Characteristics  

Oleh:

Loose, Jean-Philippe ; Zhou, Shiyu ; Ceglarek, Dariusz

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 130 no. 3 (Jun. 2008), page 031007.
Topik: Relational Dimension Measurements; Quality Control; Variation Source Identification

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.11 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Variation source identification for manufacturing processes is critical for product dimensional quality improvement, and various techniques have been developed in recent years. Most existing variation source identification techniques are based on a linear fault-quality model, in which the relationships between process faults and product dimensional quality measuremnets are linear. In practice, many dimensional measurements are actually nonlinearly related to the process faults: For example, relational dimension measurements such as the relative distance between features are used to monitor composite tolerances. This paper presents a variation source identification methodology, the joint probability density of the measurements is determined as a function of the process parameters; then, series of statistical comparisons are performed to differentiate and identify the variation source. A case study is also presented to illustrate the effectiveness of the methodology.

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