Manufacturing Performance Diagnostic
OEE, cycle time, bottlenecks, manning, quality losses and a 90-day improvement plan.
Approach
Five stages, in order, because each one produces the input the next needs. The stage names spell the firm; the sequence is what actually governs delivery.
Clarify the business decision, stakeholders, scope, constraints and success measures.
Analyse product, process, data, supplier, cost, regulation and risk evidence.
Connect engineering, operational, digital and commercial options into one future-state solution.
Translate the preferred solution into work packages, owners, milestones and controls.
Support execution, change, issue resolution, reporting and benefits realisation.
Engagement models
| Model | Indicative duration | Best suited to |
|---|---|---|
| Diagnostic Sprint | 2–4 weeks | A defined problem requiring rapid evidence, options and a prioritised action plan |
| Focused Work Package | 6–12 weeks | A technical, digital, sustainability or cost workstream with defined deliverables |
| Transformation Programme | 3–12 months | Cross-functional implementation involving systems, factories, suppliers or multiple sites |
| Embedded Advisory | Part-time or full-time | Programme leadership, PMO, engineering management or interim support |
| Retained Expert Support | Monthly | Ongoing reviews, supplier challenges, investment decisions and leadership advice |
Packaged diagnostics
Each runs as a fixed-scope sprint with a prioritised action plan at the end.
OEE, cycle time, bottlenecks, manning, quality losses and a 90-day improvement plan.
PLM-ERP-MES data flow, BOM and change governance, integration architecture and a prioritised backlog.
Design maturity, DFM/DFA, tooling, process, validation, supplier and launch readiness.
Root-cause analysis integrating material, process, loading, testing, simulation and corrective action.
N-1 exposure, supplier concentration, lead-time and qualification risk, alternatives and an action roadmap.
Energy KPIs, LCA and carbon data, supplier metrics, evidence gaps and implementation priorities.
Bring the engineering problem, the operational bottleneck or the transformation objective. We will help define the evidence, the decisions and the implementation path.