Skip to main content
A B C D E F H I K M N O P R S T V W
Ad Ag Ai An As

Analysis of Manufacturing Processes

Written by on .

Definition: The analysis of manufacturing processes is the systematic examination of production sequences to assess stability, reproducibility and quality capability. The aim is to identify the causes of deviations on the basis of statistical indicators and technical parameters. Quality management systems such as ISO 9001 form the basis.

Practical relevance: Key parameters are process capability indices (Cp, Cpk), reject rate, tolerance compliance and repeatability. Methods such as Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA) and Measurement System Analysis (MSA) serve to minimise risk. Documented process monitoring is mandatory in regulated industries (e.g. automotive, pressure equipment).

Decision-making perspectives:

  • Technical decision-makers: evaluation of critical process parameters and validation of series releases.
  • Purchasing/project management: supplier audits, definition of quality agreements and acceptance criteria.
  • Science: statistical modelling, analysis of variance and process simulation.
  • Insurance/law: proof of proper production monitoring in the event of liability.

Typical testing or verification methods: process capability analysis, audit reports, test equipment monitoring, SPC documentation.

FAQ:

  • What does a Cpk value of 1.33 mean?
  • A Cpk ≥ 1.33 is often regarded as the minimum requirement for a statistically capable and sufficiently stable process.
Request analysis →