Glossary

Process traceability

Process traceability links each production step to the data, materials, equipment, and records involved.

Data Integration, Security and Trust Data Integrity, Version Control and Audit Trails Traceability and Genealogy

Process traceability is the ability to identify and link the steps, conditions, resources, and records involved in making or servicing a product. In manufacturing, it commonly connects a work order, batch, lot, or serial number to the operations performed, materials used, equipment involved, process parameters, inspections, operators, timestamps, and approvals.

Process traceability is used in MES, ERP, quality systems, digital travelers, electronic batch records, and integration workflows where production history must be reconstructed from reliable records. It supports questions such as which routing steps were completed, which revision of an instruction was used, which machine or tool was applied, and which inspection results were recorded for a specific unit or lot.

It is related to, but not identical to, product traceability or material genealogy. Product traceability often focuses on where a product or lot came from and where it went. Material genealogy focuses on parent-child relationships between components, lots, batches, or serialized items. Process traceability focuses on how the work was performed and what evidence was captured during execution.

Process traceability should also not be confused with an audit trail. An audit trail records changes to data or system actions, while process traceability records or links the operational facts of production. In many systems, both are used together to understand manufacturing history.

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Yes. AI models in manufacturing can be biased because they learn from historical data, process decisions, labeling practices, and system constraints that may already be uneven or incomplete. Detecting bias requires testing outcomes across product families, lines, shifts, suppliers, operators, and failure modes, then monitoring drift, overrides, and downstream quality impact over time.

What is the risk of managing FAI in spreadsheets?

The main risk is not that spreadsheets are automatically prohibited. The risk is weak control over revisions, approvals, characteristics, evidence, and traceability. In AS9102-style FAI work, spreadsheet errors can create incomplete FAIRs, duplicated effort, audit exposure, and delayed acceptance.

How do we ensure captured tribal knowledge stays aligned with engineering changes?

Captured tribal knowledge stays aligned with engineering changes only if it is governed like controlled operational content. It needs ownership, version control, review triggers from ECO/ECN activity, and linkage to MES, PLM, QMS, and work instruction workflows. Capture alone is not enough.

What information must be shared with suppliers to support effective root cause analysis?

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Related Glossary

ECO

ECO (Engineering Change Order) is a formal, controlled record used to define, approve, and communicate changes to product or process designs.