RES-Q™

Simulating factory operations

• How does factory emulation reduce risk in an AMHS project?

  Factory emulation lets automation teams connect a control system to virtual equipment and test behavior before using live production assets. Teams can verify routing logic, interfaces, failure handling, throughput, and recovery under repeatable scenarios. This exposes integration and control issues earlier, when they are usually easier to diagnose and correct, and reduces the amount of disruptive testing required on the production system.

• How is RES-Q™ different from a general manufacturing digital twin?

  RES-Q™ is focused on factory emulation and controller-level testing for material transport and storage systems. It reproduces AMHS behavior so an MCS, WCS, fleet controller, or related application can interact with virtual equipment. A broad digital twin may cover many lifecycle, asset, or process-optimization use cases. RES-Q™ is specifically intended to validate automation logic, system interactions, throughput, reliability, and operational scenarios.

• Which systems and scenarios can RES-Q™ emulate?

  RES-Q™ emulates material transport and storage behavior across multi-interface AMHS environments. Scenarios can cover vehicles, conveyors, overhead transport and storage equipment, zero-footprint storage, AMRs, and AGVs, together with throughput, reliability, failures, routing changes, parameter tuning, and offline debugging. Exact device behavior and interface coverage are defined during model scoping.

• Can RES-Q™ test a non-RACE material control or fleet system?

  Yes, when the external control system can connect through supported interfaces. RES-Q™ can operate as a stand-alone emulation environment for RACE Suite or third-party material-control, fleet, and equipment layers. Before committing to scope, verify the protocol, message coverage, timing behavior, error states, and data needed to reproduce the target environment.

• Which industries can use RES-Q™ factory emulation?

  RES-Q™ is relevant where automated material transport and storage must be validated without disrupting live equipment. Its primary application is semiconductor manufacturing, and its scope includes OHT, conveyors, rail systems, AMRs, and AGVs. Other high-tech or warehouse-automation environments may be suitable when their equipment behavior, controller interfaces, demand, and acceptance criteria can be represented accurately.

Testing changes before deployment

• What is required before an emulation model is ready for acceptance testing?

  The project team should define the factory topology, equipment and storage behavior, controller interfaces, transport demand, routing rules, timing assumptions, normal and abnormal scenarios, and measurable acceptance criteria. Historical move and event data can help make scenarios representative. Model validation should separate verified behavior from assumptions, and test results should be reviewed against the agreed operating conditions rather than a single generic “accuracy” percentage.

• Can RES-Q repeat abnormal AMHS events for troubleshooting and regression testing?

  Yes. RES-Q™ can repeat common failure conditions, less frequent operational anomalies, and equipment or controller interactions for reliability testing and offline debugging. A repeatable scenario lets teams compare behavior before and after a logic or parameter change. The modeled event, timing, equipment response, and expected recovery must be defined and reviewed for the comparison to be meaningful.

• How should an automation team define the required fidelity of a RES-Q model?

  Start from the decision the model must support. Interface acceptance may require accurate messages, timing, states, and error behavior; throughput analysis also requires representative topology, travel times, storage logic, and demand. Document measured inputs separately from assumptions, validate the model against known system behavior, and avoid presenting one undifferentiated accuracy percentage without a method and operating conditions.
  

• How can AMHS emulation protect factory throughput during an automation change?

  AMHS emulation lets teams test new routing, dispatch, batching, storage, interface, and recovery behavior against representative demand before changing production controllers. This can expose logic that would increase congestion, move time, or tool starvation. Emulation does not guarantee throughput; the model, demand profile, timing, equipment behavior, and acceptance KPIs must represent the conditions the factory needs to protect.