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The development and control of more and more complex and extensive technical systems yields to measurement-technology requirements in an increasing degree. These requirements can not be met with the exclusive operation mode of a single-sensor measuring instrument because in most instances multifarious and multistructured measuring quantities are existing on one device under test.<br />The aim of this paper is to discuss new problems of inspection planning arising from the improvement in measurement technology. Essential demands, ideas and conceptual approaches to multistructured quality inspections will be presented.

Kohlefaserverstärkte Kunststoffe werden verstärkt in der Luft- und Raumfahrt sowie in der Automobilindustrie eingesetzt, um durch Leichtbau die Energieeffizienz zu verbessern. Die spanende Nachbearbeitung dieser Teile ist besonders bei Funktionsflächen zwingend erforderlich und beeinflusst die Stückkosten wesentlich. Mit einer neu entwickelten Werkzeugmaschinenkinematik, einer von Beginn an berücksichtigten Absaugung sowie einem hohen Automatisierungsgrad sollen die Fertigungskosten gesenkt werden. &nbsp; In aerospace and automobile industry, fibre reinforced plastics are commonly used to reduce the energy consumption of vehicles and airplanes by means of lightweight construction. Functional surfaces on parts made of fibre reinforced plastics need to be machined by milling operations, which increases production costs per piece. Thus, a new cost-efficient machine tool has been developed with a built-in extraction and a high degree of automation.

For drawing the right conclusions from an indicated measuring value of a quantity to the unit under test, it is indispensable to express the assigned expanded measurement uncertainty. For the industrial quality testing image sensors are widely used due to their multitude of advantages, e. g. the contactless operation mode, the high level of automation connected with the short measurement time and the flexibility in the measurement of different workpieces. This paper is derived to propose a new knowledge-based approach to the adaptive and automated uncertainty estimation for precision coordinate measurements using image sensors. It can be shown, that the novel method gives estimates of measurement uncertainty which are practicable and widely corresponding with experimental effectuated uncertainty declarations.