TECHNOLOGY & DESIGN
MANUFACTURING / OVERVIEW
Connect production, inspections and equipment events by product, process and lot. Build data and AI workflows for daily reporting, quality investigations and maintenance priorities.
Explore the delivery scope ↓Conceptual data-to-operation flow, adapted to the agreed project scope.
Process conditions and quality outcomes often live in separate systems. Start with the evidence people reconcile during an investigation, and build analysis around production that must keep running.
For these teamsPlant managers, production planning, quality, engineering and IT
01 / INPUTS
02 / CONTEXT
Align scope and time, preserving the path to source records.
PRIORITY WORKFLOWS
01 / CAPABILITY
Daily reports, lot inspections and second-level sensor logs have different grains. Joining them directly can multiply rows and distort defect rates or downtime. Define the mapping from work order to finished lot first.
A data foundation for investigating quality variation: align quantities, process conditions and inspection results before designing the dashboard.
Explore data, evaluation and scope ↗02 / CAPABILITY
Rare failures can leave too few labelled examples for reliable validation. Compare against existing threshold monitoring and identify where AI adds value.
Test whether equipment and maintenance records can identify changes worth investigating. Evaluate false alarms, review effort and actionable lead time alongside detection performance.
Explore data, evaluation and scope ↗Before adding systems, identify sources, access methods and refresh owners. CSV and existing reports can establish value before committing to integrations.
Confirm work orders, actual quantities and process codes. Define counting units so work in progress is not counted as finished output.
Capture methods, acceptance rules and reinspection history alongside measurements. Distinguish lots that were never inspected.
Check equipment IDs, time zones, sampling intervals and maintenance times. Separate genuine stops from missing logs.
Start with read-only analytical feeds. Agree on factory-network boundaries, refresh intervals and maintenance windows before connecting orders and inspections.
Architecture principles ↗A WORKFLOW IN PRACTICE
This is an illustrative engagement, not a client case study or a claim of results.
Consider a quality team searching separate daily reports, inspections and equipment histories for a defective lot. Trace its current investigation and list source records and the keys connecting them.
A prototype lets a user select a lot, inspect process conditions and test results, then open supporting records. Evaluate unmatched records and double counting as well as investigation time. Automatic root-cause attribution is outside this example.
At acceptance, compare with results reconciled by quality staff using the existing procedure. Include product changes, retests and missing records, and require the user to explain findings from source evidence.
The set does not need to be complete; discovery can establish missing inputs and access conditions.
DISCOVER → PROVE → BUILD
Select one line or asset group and one goal: quality investigation or anomaly notification.
Use a later holdout period and prevent closely related records from the same lot leaking between sets.
Review results by operating condition, product change and maintenance state.
Ask operators to inspect source records and explain the alert and next action.
QUESTIONS BEFORE YOU START
Yes. Start with production and inspection reconciliation. Predictive maintenance needs a separate assessment of sampling and event history.
No fixed reduction is promised. First validate traceability and investigation effort, then evaluate quality interventions through plant trials.
RELATED FIELD GUIDE
MANUFACTURING / GUIDE
Before commissioning factory AI, define how evaluation data is separated and how operators will review results. This guide explains common pitfalls and a practical evaluation brief.
Read the guide ↗YOUR OPERATION / OUR STARTING POINT
Tell us about the workflow, systems and reporting or documents that need attention. We will define a suitable phase, deliverables and assumptions.
Manufacturing — discuss your project How scope and estimates work ↗