Material identity
Supplier batch, internal lot, container, reel, tote, ingredient or component identities consumed by production.
A connected history for every output
Link materials, components, batches, process steps, inspections, rework and finished goods into a searchable manufacturing history.
Manufacturing genealogy
Product genealogy creates relationships between the identities and events that make up production. It answers not only “what is this product?” but also “what went into it, where was it processed, what happened and what did it become?”
Oxford Traceability can connect line events, component scans, batch consumption, process results, inspections, packaging relationships and inventory movements. The scope is defined by the decisions the business must make—not by collecting every possible signal.
Genealogy data model
A good genealogy model is selective and structured. Each record should have a defined identity, event type, time, location, source and relationship to production.
Supplier batch, internal lot, container, reel, tote, ingredient or component identities consumed by production.
Work order, batch, work-in-progress identifier, serial number, case, pallet or other finished-goods identity.
Issue, consume, assemble, transform, inspect, pack, move, rework, split, merge, hold or release events.
Configured measurements, inspection status, code verification, test results and approved exceptions.
Material-to-batch, component-to-assembly, item-to-case, case-to-pallet and predecessor-to-rework links.
Time, line, cell, equipment, recipe, user, shift, location and source system needed to interpret the event.
Forward and backward trace
A consistent identity model allows the system to start from an input or an output and traverse the relevant manufacturing relationships.
Identify a material, component, ingredient, container or supplier batch.
Relate its issue and consumption to the correct order, operation and equipment context.
Associate the produced batch, serial, pack or assembly with its immediate inputs.
Preserve the item, case, pallet, inventory and dispatch relationships where required.
Capture strategy
Manual entry can be appropriate for some low-volume events, but critical relationships often benefit from automatic identity capture, process signals and system-driven context.
Project definition
The goal is not maximum data. It is the smallest dependable dataset that supports the required trace and decisions. For lot-based investigations, see our guide to forward and backward batch traceability.
Define the trace questions the business, customer or quality team must be able to answer.
Specify identities, relationships, events, status, context and retention for those questions.
Select automatic and manual capture points with validation and exception handling.
Run representative backward and forward traces and reconcile them with physical production.
Turn events into relationships
Share the products, inputs, process stages, existing identifiers and trace questions you need to answer. We can map the required data and capture points.
Discuss product genealogyStart with the application
Tell us what you need to identify, verify and connect. We will help define a practical route from line-level hardware to usable production data.