Multistate Markov models for systems with dependent units

Lešanovský, Antonín

doi:10.1109/24.9872

Cited by 19 publications

(3 citation statements)

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“…Automotive body and its assembly fixture: (a) body coordinate system; (b) 3-2-1 fixturing principle for rigid part nents and their interactions is known [9][10][11][12]. However, these analysis methods cannot be applied directly to manufacturing-system reliability analysis because product-quality information and the interdependency between part quality and manufacturing-system component reliability are not considered.…”

Section: The Effect Of Fixture Functionality On Product Qualitymentioning

confidence: 98%

“…When the KPC threshold is used for integrated fixture-system reliability analysis (method 1), the same magnitudes of tool wear with different tooling layouts will have different impacts on product quality according to equation (9). For example, if three different positions of the four-way pin P 1 , P 1 , and P 1 are used, as shown in Figure 6, different fixture-system reliability results will be obtained, which are shown in Figures 11(a)-(c) for P 1 , P 1 , and P 1 respectively.…”

Section: Comparison Of the Kpc Thresholds And The Tool-wear Thresholdsmentioning

confidence: 99%

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Quality and reliability information integration for design evaluation of fixture system reliability

Jin

Chen

2001

Quality & Reliability Eng

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SUMMARYQuality and reliability are two important factors in manufacturing-system design. However, the analysis and optimization of manufacturing-system reliability and product quality are normally conducted separately in practice. There is no general framework to integrate these two important factors, quantitatively analyze the interactions between them, and further study their integrated effects on the manufacturing-system performance. In this paper, the QR-Co-Effect of product/part quality and manufacturing-system component reliability is investigated in an assembly fixture system. The concept, model and analysis of QR-Co-Effect are addressed in this paper.

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Section: The Effect Of Fixture Functionality On Product Qualitymentioning

confidence: 98%

Section: Comparison Of the Kpc Thresholds And The Tool-wear Thresholdsmentioning

confidence: 99%

Quality and reliability information integration for design evaluation of fixture system reliability

Jin

Chen

2001

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…By application of Kroenecker algebra, see [Les88] for a brief overview, the probability matrix can be extended to a multidimensional model. This makes the recursive formulas from section D.3.1 and D.4.2 applicable to multidimensional models.…”

Section: Contents Of Appendixmentioning

confidence: 99%