Direct answer
Establish a capable process with defined parameter windows before specifying machines. Automating an uncontrolled process industrialises the variability.
What this domain covers
- Quality varies with no identified parameter cause
- Recipes are held as tribal knowledge
- Scale-up from pilot underperforms
- Yield losses are accepted as normal
- Different lines produce different results with the same recipe
Solution approaches
Process characterisation
Identify critical parameters and their acceptable windows.
Capability studies
Cp/Cpk on critical-to-quality outputs before capital decisions.
Scale-up engineering
Translating pilot behaviour to production geometry and mass transfer.
Recipe and parameter management
Version-controlled recipes enforced by the control system.
Engineering and project considerations
- Raw material variability is a process input and must be characterised
- Parameter windows belong in the machine specification
- Yield improvement often outperforms capacity investment in cash terms
- Sampling and measurement must be capable before conclusions are drawn
- Documented process knowledge is an asset that survives staff turnover
What to prepare before engaging engineering companies
- Current parameter records and yield data
- Raw material specifications and observed variability
- Pilot or trial results
- Critical-to-quality output definitions
What to measure
Frequently asked questions
Can we automate an unstable process?
You can, but you will automate the instability. Stabilise first; automation then locks in the gain.
Related engineering knowledge
Independent, buyer-side and supplier-neutral
Global B2B Group does not sell machines and does not represent equipment manufacturers. This material is published to help industrial organisations define the problem, prepare the specification and structure the investment before engineering partners are selected.
