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Faster BHS Commissioning

Faster BHS Commissioning Takes Off with Kasa

6 daysReduced time required for on-site commissioning an

The Challenge

Baggage handling systems (BHS) are among the most complex automated installations in aviation infrastructure — requiring precise integration of conveyors, sorters, scanners, and control logic across large physical footprints. Traditionally, validating a new BHS required engineering teams to be on-site for four to six weeks during commissioning and startup, running sequential test scenarios against live hardware. For system integrators like Kasa, this approach created substantial project risk: travel costs, schedule dependencies on airport access windows, and limited ability to iterate quickly when issues surfaced. Any delay in commissioning translates directly into pressure on airport operators and project profitability.

The Solution

Kasa implemented Rockwell Automation's Emulate3D dynamic digital twin software to create a virtual replica of each BHS before physical installation begins. Emulate3D builds a fully interactive 3D simulation of the conveyor network, control logic, and material flow — allowing engineers to connect the actual PLC code to the virtual model and run Factory Acceptance Tests (FAT) in a simulated environment. Critically, this enabled remote FAT execution: stakeholders and validation teams could participate without traveling to a central test facility. Beyond standard testing, the platform supported development of customized test tools tailored to each project's specific scenarios, giving Kasa the flexibility to structure acceptance criteria around client requirements rather than adapting clients to a fixed test framework.

Results

The headline outcome is a reduction in on-site commissioning and startup time from 4–6 weeks to just 6 days — a compression of roughly 85–90% of the physical site presence previously required. By resolving the majority of logic errors, sequencing conflicts, and edge-case scenarios during the virtual FAT phase, engineers arrive on-site with a validated control program rather than one still under active debugging. Additional outcomes include:

  • Remote testing capability enabling multi-party FAT participation without co-location
  • Faster scenario iteration — the digital twin allows rapid reconfiguration between test cases
  • Custom tooling built within the platform to streamline project-specific acceptance workflows

Key Takeaways

  • Digital twin value compounds when FAT is conducted against the actual control code, not a simplified model — fidelity of the simulation is the critical success factor.
  • Remote testing capability reduces project cost and schedule risk simultaneously, particularly for geographically distributed clients or airport installations with restricted access windows.
  • Building custom test tooling inside the simulation environment is a force multiplier: invest in this upfront to recover time across multiple test cycles.
  • The biggest gains come from resolving integration issues before mobilizing on-site — treat the virtual FAT as the primary acceptance event, not a rehearsal.

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Details

AI Technology
Digital Twin
Company Size
SME
Quality
Verified

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