The Monitoring-Measurement Procedure AS9100 establishes methods the company uses to monitor and measure conformance with requirements. The aerospace procedure applies to all company products and process, including raw materials, parts, and subassemblies used to manufacture aircraft products. (7 pages, 1621 words)
Department Managers are responsible for producing and using process monitoring and measuring data to continuously improve The Company’s Quality Management System.
The Quality Assurance Manager is responsible for the accuracy of all process monitoring and measuring devices.
Critical Product Parameter – Product measurement that materially affects the conformance of the material, component, or product to requirements.
Critical or Key characteristic – Feature of a material, part, or process, variation of which will significantly influence a product’s fit, performance, service life, or manufacturability. Key characteristics essential to meeting product goals are identified so that Company resources can be focused on them. Key characteristics are often identified by the customer but can also be identified by the Company, subcontractors, or suppliers.
First article inspection (FAI) – where a representative item from the first production run of a new part or assembly is used to verify that the production processes, production documentation, and tooling can produce parts or assemblies that meet requirements.
Monitoring and Measuring Equipment – Devices used to collect data and measure, gauge, test, inspect, or otherwise examine items to determine their compliance with specifications.
Other Product Parameter – Product measurement that does not affect conformance with requirements, but which may relate to the state of the process system.
Sampling inspection – Statistical inspection using one or more samples; in acceptance sampling inspection, a decision to accept or not accept an inspection lot is based on a sampling plan.
Special Cause of Variability – External action on a process (or a process failure) that causes unpredictable variations from a normal distribution. Special causes of variability are indicated when a process is out of control or when non-normal distributions of data (as defined by Quality Assurance) are observed.
Validation – Confirmation, by providing objective evidence, that requirements for a specific intended use or application have been fulfilled; assuring that equipment, processes, software, and/or systems operate as intended so products consistently meet specifications. Among the processes that typically require validation are: