Industry
Discrete manufacturing
Mixed-model production across many part numbers, where setup, tooling and scheduling losses are dispersed and hard to compare.
Where value is typically lost
- Setup and tooling loss distributed across many small events
- Cycle-time variation between operators and shifts
- First-pass yield issues discovered late in the process
- Moving bottlenecks with no historical record
- Maintenance and production working from different priorities
Where intelligence applies
- Comparable loss model across cells and part families
- Constraint tracking over time
- First-pass yield and rework costing
- Shared prioritisation between maintenance and production
Data we typically work from
- Machine monitoring or PLC counts
- ERP work orders and routings
- CMMS records
- Quality inspection data
A sensible starting point
Begin with the cells that carry the highest volume or the tightest constraint, then extend the same definitions to the remaining cells.
Industrial Intelligence Diagnostic — 10 business days. Contact us for cost; the fee is credited against an approved deployment.
Related solutions
Where operations in this sector usually begin.
Improve production and OEE
OEE is widely reported and rarely trusted. When availability, speed and quality losses are measured differently by line, shift or site, the number stops driving decisions.
Reduce unplanned downtime
Most sites already record their stoppages. Far fewer can say, with evidence, which assets and which recurring causes are costing the most money this quarter — or prove that the actions taken actually removed the loss.
Connect fragmented operational data
Very few industrial problems are caused by missing data. They are caused by data that never meets: maintenance in one system, production in another, cost in a third.
Find the right starting point for your operation
Answer five questions and we will tell you which engagement fits, what it costs, how long it takes and what we need from you. Or book a complimentary 30-minute fit consultation.