Connect what a team observes to the product definition and the work that follows. Bring engineering, manufacturing and quality into a shared information context for more informed decisions.
Explore quality processesQuality management organizes how an organization defines, assesses and improves product quality. It gives a concern a working context, a responsible owner and a route to a reviewable decision. It covers both product characteristics and the processes used to develop, manufacture and support the product.
Quality work connects an observation with investigation, action and review. Define the route around the concern and the organization’s procedure.
Record what was observed, what was expected and the product or process involved. Give the team enough information to begin an evaluation.
Use root cause analysis (RCA) to investigate why the issue occurred. Keep the supporting observations and the team’s reasoning with the proposed explanation so reviewers can challenge it.
Assign the required action and its decision owner. If the product definition must change, connect the concern to the controlled engineering work.
Retain the evidence used to assess the response. Feed unresolved questions or recurring observations into the next review. Agree when the follow-up will be assessed and what would justify reopening the concern.
Nonconformance records an observed departure from a requirement. A formal corrective and preventive action (CAPA) has its own escalation and effectiveness criteria; the applicable procedure determines which response is needed.
Connect quality to engineering changeA QMS supports the policies, procedures and records behind quality work. A team still needs to define the responsibility and evidence for each decision. Its value is consistency: a concern can be handled through an agreed process even when participants, locations or product programs change.
| The working discipline | The supporting system |
|---|---|
Agree what a concern means, who evaluates it and what justifies the response. A shared process is useful only when the people performing it understand those responsibilities. | Maintain recognizable records, controlled documents and review history. Establish which system owns the quality record and how its product reference is maintained. Record status, access and change history should be understandable to the people administering and reviewing the process. |
If a reviewer returns to this concern later, can they identify the procedure, applicable product definition and evidence behind its closure?
Plan system responsibilities with PLM architecturePlanning, control, assurance and improvement address different quality questions. Use each practice for its own purpose.
Define the expectations before evaluating an outcome.
Select a representative product and establish the applicable criteria, responsible roles and records to retain. Resolve ambiguous expectations before they become an unexplained inspection result. For example, identify the specification or approved instruction from which an evaluation takes its criteria.
What reference will the team use to judge this outcome?
Assess observations against the defined expectation.
Keep the observed condition and its product context together. Establish how a departure is recorded and routed to the person responsible for evaluating it. Preserve the observation as recorded, alongside any later interpretation or disposition.
Can the reviewer distinguish the expected condition from the observation?
Examine whether the agreed process is being followed.
Review responsibilities, procedures and retained records across a real case. Identify gaps in the process separately from the disposition of an individual product concern. An assurance review might examine whether required approvals and document controls are being applied consistently across several cases.
What demonstrates that the required review took place?
Use the findings to change future work deliberately.
Choose an improvement with an owner and a way to assess the follow-up. Keep the rationale available so another team can understand why the process or product was changed. Define an observation period and a meaningful comparison before judging the improvement.
What will the team review to assess whether the action helped?
Connected quality information can help teams spend less time recovering context and more time resolving the concern. These six benefits focus on the value to the business and its customers; assess them against comparable cases and an agreed baseline.
The cost of a quality concern extends beyond the repair itself. Repeated clarification, duplicated investigations and missing information also consume time. Making that effort visible helps teams identify where prevention or a clearer handoff could avoid the same work on the next case.
Where is the same work being repeated?
An accessible decision history helps a reviewer understand what was considered and why an action was taken, even after the original team has moved on. This can shorten the effort needed to prepare a review or examine a recurring concern without reconstructing the story from individual inboxes.
How much searching does this review require?
A concern often waits between departments rather than during the investigation itself. A recognizable owner and expected contribution help engineering, quality, suppliers and operations see where their response fits. The benefit is a more understandable handoff and less time lost asking who should act next.
Who is waiting for whose response?
An unresolved quality question can influence a design choice, a planned build or a product change. Bringing it into the decision while alternatives are still available gives the team a chance to assess the trade-off before work becomes harder to revise. Evaluate avoidable disruption rather than assuming a faster launch in every case.
Which open concern should influence the next design review?
Service reports become more useful when product teams can interpret the conditions in which an issue occurred. Over time, comparable observations may reveal a recurring experience worth examining across a product family. This gives development a stronger basis for prioritizing improvements than an isolated report with little context.
What does engineering need to interpret this report?
A clear account of the reported experience helps the organization respond to the issue the customer actually encountered. Retaining that perspective through the evaluation supports a more relevant response and a clearer explanation of the outcome. Assess whether the concern was understood and addressed, alongside any internal measure of closure.
What did the customer actually report?
Start with one concern and make the responsibilities concrete. A small, observable working example is easier to evaluate than a broad workflow diagram.
Ask the next participant what they need to evaluate the concern. Include that requirement in the initial record. Agree how incomplete handoffs are returned for clarification before using the example to evaluate a wider rollout.
Plan cross-team collaborationName the authoritative quality and product records, plus the person who maintains each relationship. Document the identifiers and update responsibilities in a small working agreement that both system owners can use.
Explore product configurationSelect the procedure or document version used in the case. Agree how the reviewer finds it again. Check the actual access journey with a receiving user, including what happens when the instruction is revised.
Explore product-data managementIdentify the product, the procedure and the next decision owner for your first discussion.
Windchill provides product and process context; Risk and Reliability supports specialist analysis methods. Evaluate the required scope for each.
Connect the quality record to the product
Evaluate the selected Windchill quality modules using a real concern and its affected product record. Demonstrate how an authorized user follows the relationship into controlled engineering work, then confirm the workflow and permissions for the proposed environment.
Investigate product risk and reliability
Review the specialist methods your team needs, such as FMEA, fault-tree analysis or reliability prediction. Define the system boundary, source data and assumptions, and agree who owns the analysis and retains the reasoning behind it.
Application availability, interfaces and licensing depend on the selected environment. Scope risk-analysis tools separately from quality-workflow modules.
Different products bring different investigation contexts. These illustrative starting questions help define a first quality discussion.
For a supplier-related vehicle concern, identify the affected assembly and the information each participant needs to contribute. A useful first example may include the supplied component reference and the observation returned by the receiving plant.
Which product and supplier references belong with this concern?
An observation may span a board, enclosure and software behavior. Make the relevant versions recognizable before assigning an investigation. Capture the reported operating context so teams can distinguish a reproducible behavior from an incomplete description.
Which disciplines need to examine the same reported behavior?
For a long-lived assembly, retain the configuration and supporting records that give an observation its meaning. Identify the drawing applicability and change history relevant to the particular assembly under review.
Can the team identify the configuration being reviewed?
Define the working boundaries before selecting modules or extending the workflow.
Start by defining what that system owns and which product information or decisions need to connect to PLM. Coexistence depends on the supported interfaces, mappings, permissions and responsibilities agreed for the environment; it does not require assuming one system will replace every other tool.
The organization’s procedures and evaluation determine whether a concern needs a formal CAPA or another response. Nonconformance and CAPA are distinct processes; the workflow should reflect the applicable escalation rules rather than creating the same response for every record.
An investigation may identify a need to change a product or process. Retain the quality context and relate it to the controlled change work where appropriate. Evaluation, authorization, implementation and release remain responsibilities of the relevant configured processes.
Quality processes have separate application, license and configuration scope. Foundation, individual modules and surveillance bundles do not provide identical capabilities; customer-experience regulatory functions and Risk and Reliability also need specific review. Confirm the selected release and intended workflow with TriStar.
Software can support controlled records, traceability and defined workflows. The organization remains responsible for its applicable requirements, procedures, validation and review responsibilities. Select and configure the system around those requirements rather than treating a software feature as a certification.
Show us where quality information becomes disconnected from the product and the decisions around it.
We’ll help frame the records, processes and connections around the work your team needs to do.