Manufacturing Process Optimization

When this comes up

• Scrap has been climbing and no single change explains it.
• Quality drifts across shifts, machines or lots that are nominally identical.
• Cycle time is capped, and pushing it produces defects.
• A new tool, line or material has never settled into a stable window.
• The process worked until a material, supplier or regrind practice changed.

How the work runs

1. Establish what is actually happening

Scrap by defect type rather than by total, sorted by machine, shift, tool, cavity and material lot. Most of the diagnosis is in that breakdown, and it is often the first time it has been assembled in one place.

2. Map the current window against the material

Drying and residence time, melt and mould temperatures, shear history, screw and barrel configuration, gate and runner design, regrind fraction and its thermal history, hold and cooling profiles — assessed against what the specific grade in use can tolerate, not against a generic processing guide.

3. Run designed trials, not sequential tweaks

Changing one parameter at a time on a running line is slow and interacts badly with the variation you are trying to explain. Trials are designed to separate the factors that matter from the ones that only appear to.

4. Confirm and document the window

A setting that fixes the problem is worth much less than a documented window with known edges, because the second one survives the next material lot, the next tool change and the next shift.

Where this typically applies

• Extrusion — melt homogeneity, degradation, gauge variation, die and screw design effects.
• Injection moulding — warpage, sink, weld-line strength, short shots, dimensional drift, cavity-to-cavity variation.
• Compounding and formulation — dispersion quality, additive and filler distribution, batch-to-batch consistency.
• Coatings and films — adhesion, cure, barrier performance, surface defects.
• Rheology — understanding flow behaviour as the link between formulation and what the machine can do with it.

What you receive

• The factors driving the loss, distinguished from the ones that correlate with it.
• A documented processing window with its edges identified.
• Changes ranked by the yield or quality they recover against the disruption they cost.
• Where the cause is the material rather than the process, a clear statement of that — and what to do about it.

Process areas covered

• Extrusion
• Injection moulding
• Compounding & formulation
• Coatings & films
• Adhesives
• Polymer reaction engineering
• Rheology
• Materials processing
• Materials testing
• Properties of materials

Frequently asked questions

What manufacturing processes do you work with?

Extrusion, injection moulding, compounding, blow moulding, compression moulding and related polymer and composite processing operations. The diagnostic applies equally to a new process that is not hitting targets and an established line where scrap rate or quality has shifted.

How do you identify the root cause of process variability?

Through a structured diagnostic: review of process parameters, incoming material characterisation, statistical analysis of output data, and targeted trials. The goal is to separate material variability, equipment variability and parameter drift so the fix addresses the actual cause rather than the most visible symptom.

Can you help with a process that uses materials from multiple suppliers?

Yes. Multi-supplier supply chains are a common source of process variability. Characterising the incoming material population — not just the datasheet specification — is often the fastest path to understanding why the process behaves differently batch to batch.