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English version of VDA dictionary

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Data integrity

Data protection from an inadmissible change or access.

Data, quality significant

Quality significant data are data (or information) originating within a quality management system or entering a quality management system.


Deadlock means that a programme is locked from further operation because two or more separate processes are queuing for action of another process.


Non-fulfillment of a requirement related to an intended or specified use.

Delphi method

Forecasting method based on existing expert knowledge being performed through multilevel questioning, assessment and summarising. At a sensible selection of experts, it ensures qualitatively valuable results.


Activity used to demonstrate by means of documents that an attained performance (of a product or service) meets specified requirements. Reference to a VDA publication (if the definition is specific to a particular publication, different from it, or complementary to an applicable standard): VDA volume 1.


Collective term used to describe the availability performance and its influencing factors: reliability performance, maintainability performance, and maintenance support performance.

Description of a defect from customer's perspective

Symptomatic deviation description. Typically, the customer describes obvious symptoms of a defect, e.g. “CD cannot be ejected”.

Description of a defect from supplier's perspective

Analytical qualified description, failure appearance, and mode of failure. The supplier describes the product defect, e.g. “a cogwheel of the CD ejecting mechanism is broken”.

Development environment

Set of tools that support development processes (key processes). Among other things, it covers planning tools, design tools, simulators and generators, and configuration tools.


Difference between the value of a characteristic (feature) and a value assigned to a characteristic and a reference value. For quality characteristics (features): the value of a characteristic (feature) or value assigned to a characteristic minus the reference value.

DFMA – Design for Manufacture and Assembly

Method aimed at optimising a structural disposition and production costs, decreasing the number of parts, shortening the development time, reducing the assembly costs and increasing quality.


Diagnosis enables identification of faults or failures of a system and is used to analyse wrong reactions within the system in order to correct them.


Lower limit regarding detectability.

Discrepancy range

Range outside tolerance extended by extended measurement uncertainty U.

DoE - Design of Experiments

This method aims at optimising processes and systems as efficiently as possible. Indicators influencing a process or a system are consciously changed as part of more planned experiments so that an optimum is identified for one or more of the defined values (e.g. optimal combination of injectors, mixture, etc. to achieve combustion as effective as possible). This method is based on statistic procedures to maximise the use of information from experiments aimed at structured planning of the sequence of experiments and their assessment.

Dynamic behaviour

Software ability to ensure adequate response time and process flow time under defined conditions.

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