A probabilistic approach to measurement-based decisions

Rossi, Giovanni Battista; Crenna, Francesco

doi:10.1016/j.measurement.2005.10.011

Cited by 51 publications

(32 citation statements)

References 5 publications

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“…Rossi and Crenna [10] provide definitions of general risks for producers and consumers which are in line with what is meant by risks in this article. The authors point out that additional information concerning the production process is necessary to avoid biased estimations of risks.…”

Section: Conformity Assessment and Risksmentioning

confidence: 96%

Product-specific adaption of conformity assessment criteria and their financial consequences

Hinrichs

2011

Prod. Eng. Res. Devel.

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The conformity of products is usually assessed on the basis of Gaussian distributions of the test results. For wire screen products, as an example, this assumption is only valid if the apertures are quite close to the nominal value and if the dispersion of the apertures is small compared to the tolerance band. In cases where these provisions are not given beta distributions are better distribution approaches. The application of a modified beta distribution leads to significantly lower producer's and consumer's risks allowing to expand safeguard limits without changing the levels of confidence. A financial model enables the user to create scenarios for such different input data as the effort for testing, the number of products in line with the production target, the prices of products and scrap prices as well as quality classifications of products. The pivots chosen for the model are the producer's and consumer's risks. For reasons of comparison the risks were determined both on the basis of normal and modified beta distributions. Product-specific conformity assessment procedures may have apparent financial benefits if the parameters of the model can be well defined.

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Section: Conformity Assessment and Risksmentioning

confidence: 96%

Product-specific adaption of conformity assessment criteria and their financial consequences

Hinrichs

2011

Prod. Eng. Res. Devel.

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“…False positives or false negatives at diagnostic level depend on measurement uncertainty at sensor level and any following decision/action taken on the basis of measured data will be affected by measurement uncertainty [15], [18]. Therefore measurement uncertainty becomes the main aspect to be dealt with in the development of quality control systems.…”

Section: B Innovation At the Level Of Measurement Systemsmentioning

confidence: 99%

Towards the integration of process and quality control using multi-agent technology

Castellini

Cristalli

Foehr

et al. 2011

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

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Abstract-The paper introduces a vision on the design of distributed manufacturing control systems using the multi-agent principles to enhance the integration of the production and quality control processes. It is highlighted how agent technology may enforce interaction of manufacturing execution system and distributed control system, enhancing the exploitation of the available information at the quality control and process control levels. A specific focus is made on a suitable engineering methodology for the design and realization of such concept. Innovation is also presented at the level of adaptive process control and self-optimizing quality control, with examples related to a home appliance production line.

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“…It will be calculated for each component separately. The probabilistic framework for dealing with measurementbased decisions proposed by Rossi [20] was adopted here to estimate test metrics under multiple parametric deviations and comparator threshold uncertainty. Testing process can be considered as the concatenation of two sub-processes, named observation and restitution [21].…”

Section: Model-based Test Quality Metrics Computationmentioning

confidence: 99%

“…The standard metrological approach when we want to characterize the measurement process as such by the conditional distribution pðy z j Þ is assumption of a uniform distribution for z [20]. Hence…”

Section: Model-based Test Quality Metrics Computationmentioning

confidence: 99%

Self-testing of fully differential multistage circuits using common-mode excitation

Toczek

2008

Microelectronics Reliability

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A probabilistic approach to measurement-based decisions

Cited by 51 publications

References 5 publications

Product-specific adaption of conformity assessment criteria and their financial consequences

Product-specific adaption of conformity assessment criteria and their financial consequences

Towards the integration of process and quality control using multi-agent technology

Self-testing of fully differential multistage circuits using common-mode excitation

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