Manufacturing
Illustrative example- Typical question
- “What is the real cause of yield differences between our production lines?”
- Data
- MES, historians, quality, maintenance.
- Decision pack
- Root-cause diagnosis, prioritisation, measurement gaps.
Industrial sectors
One method, five industrial sectors.
The questions below are the kind a Decision Sprint answers: one business question, the data it requires, and what the Decision pack establishes. Each case is an illustrative example, not a client reference.
Chemicals
Illustrative example- Typical question
- “Are our process drifts driven by raw materials or by operating conditions?”
- Data
- Batch records, LIMS, sensors, suppliers.
- Decision pack
- Traced diagnosis, batch compliance and traceability.
Electronics
Illustrative example- Typical question
- “Where do our defects concentrate, and are they attributable to design, components or assembly?”
- Data
- In-line tests, field returns, procurement.
- Decision pack
- Defect map, tested hypotheses, actions.
Automotive
Illustrative example- Typical question
- “What is the real impact of a supplier change on quality and warranty costs?”
- Data
- Warranty, supplier quality, production.
- Decision pack
- Cost/quality diagnosis, conditions of validity.
Aerospace
Illustrative example- Typical question
- “Do our maintenance data justify a change of maintenance interval?”
- Data
- Maintenance, airworthiness, operating history.
- Decision pack
- Diagnosis with traceability suited to regulatory requirements.
Another sector, same method
Brief, hypotheses, data qualification, testing, validation, Decision pack. The method does not change with the sector; the data sources and the regulatory traceability do.
Decision Sprint
Your question, your data, a traced diagnosis in 3 to 4 weeks.
Start with a Decision Sprint: fixed scope, fixed duration, one Decision pack.