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Compare Cleanroom Operating Scenarios

Use this guide for an early comparison of cleanroom operating assumptions. The Semiconductor Operations workspace provides a discrete-event simulation (DES) view for comparing how particle generation, fan filter unit (FFU) count, door activity, gowning protocol, and study duration affect scenario-level results.

Pair the comparison with current particle, pressure, temperature, humidity, filter, and work-order evidence before using it in an operating review.

Workflow

Prerequisites

RequirementWhy it matters
Cleanroom identityConnects the scenario to the correct room, target class, and equipment
Current operating dataProvides particle, pressure, temperature, humidity, and filter context
Scenario ownerConfirms assumptions and the comparison question
Quality or facilities reviewerReviews whether the output can support the intended decision

Configure a scenario

  1. Open Semiconductor Operations > Cleanroom Simulation.
  2. Select the cleanroom.
  3. Enter the particle generation rate used for the comparison.
  4. Enter the active FFU count.
  5. Set the expected door-opening frequency.
  6. Select the gowning-protocol state.
  7. Set the study duration.
  8. Record the reason for the scenario and the baseline it will be compared with.
  9. Choose Run Simulation.

Change one operating assumption at a time when the goal is to understand its effect. Use a named scenario package when several coordinated changes must be evaluated together.

Review the result

ResultReview question
Average particle countHow does the scenario compare with the baseline and measured range?
Recovery timeHow quickly does the model return toward its steady condition after door activity?
Achieved ISO classWhich modeled class band does the scenario reach under the selected assumptions?
Estimated energyHow does the FFU and operating-duration assumption change the scenario estimate?
Particle timelineWhen do disturbances occur and how stable is recovery?
Air-change comparisonHow does modeled particle concentration change across the compared air-change range?

Traceable simulation evidence includes the cleanroom, scene, inputs, engine or model identity, run time, output, and reviewer. Results without that record remain a draft comparison.

Connect the result to operations

Compare the modeled result with:

  • measured particle readings by size and sampling point;
  • pressure-cascade status and door events;
  • temperature and humidity trends;
  • FFU assignment and filter condition;
  • maintenance or work-order history;
  • the latest ISO 14644 assessment record.

Record whether the scenario supports further measurement, an engineering study, a maintenance check, or a controlled operating trial.

Failure handling

ProblemResponse
Cleanroom or target class is unclearCorrect the room identity and target class before running the comparison.
Current particle or pressure evidence is staleRefresh the operating data and record the measurement window.
Scenario inputs mix several unrelated changesCreate separate scenarios or document the coordinated change package.
The result has no model or run identityKeep it as a draft and rerun through the traceable workflow.
Modeled trend conflicts with current measurementsReview assumptions with facilities and quality owners, then collect additional evidence or run a controlled study.

Validation checklist

  • Cleanroom and target class are correct.
  • Units and duration are recorded.
  • Baseline and changed assumptions are visible.
  • Current measurements are attached to the review.
  • The result has a traceable model or engine identity.
  • Facilities and quality owners reviewed the proposed next step.