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Digital Twin Simulation Verifies Expansion Needs

Digital Twin Simulation Verifies Expansion Needs

The Challenge

A mid-market industrial machinery manufacturer facing growing customer demand needed to expand production capacity, but lacked confidence in the scope and cost of the required capital project. The core challenge was multi-layered: accurately projecting equipment needs, validating the financial resource requirements, and identifying critical gaps in the expansion plan before committing capital. In industrial machinery, misjudging a capacity expansion — over-specifying equipment or missing a bottleneck — translates directly to wasted capital expenditure and delayed time-to-production. Without a rigorous validation method, the company risked either under-investing and failing to meet demand or over-investing in unnecessary infrastructure.

The Solution

The company implemented Rockwell Automation's Arena® simulation software alongside Emulate3D™ digital twin software to model the proposed expansion before any physical changes were made. Arena enabled discrete-event simulation of production flows, allowing engineers to test throughput scenarios and stress-test capacity assumptions against real demand profiles. Emulate3D extended this by creating a 3D virtual replica of the proposed facility layout, emulating material handling and equipment interactions dynamically. Together, the two tools formed a comprehensive digital twin environment — validating equipment selection, sequencing, and resource allocation in a risk-free virtual setting. This simulation-first approach gave project stakeholders evidence-based data to finalize the capital project plan and refine the expansion schedule prior to procurement.

Results

The digital twin simulation delivered concrete improvements across planning, cost, and sustainability dimensions:

  • Capital requirements validated: The simulation accurately determined both equipment specifications and financial resource requirements, removing guesswork from the investment decision.
  • Reduced expansion schedule: By resolving design conflicts and capacity gaps virtually, the project timeline was compressed — avoiding costly rework that would have occurred post-construction.
  • Enhanced sustainability: The optimized facility design improved energy efficiency outcomes, contributing to the company's sustainability goals.

Overall, the pre-build simulation approach shifted the expansion from a high-risk capital commitment to a data-confirmed project with clearly defined scope and resource needs.

Key Takeaways

  • Simulate before you build: Digital twin tools like Arena and Emulate3D can validate capital project assumptions before procurement begins, eliminating costly mid-project corrections.
  • Address scope gaps early: Simulation surfaces critical gaps in capital plans that traditional spreadsheet analysis misses — particularly around material flow and equipment interdependencies.
  • Pair process simulation with 3D emulation: Using discrete-event simulation alongside dynamic 3D emulation provides both throughput validation and physical layout verification.
  • Sustainability gains are a byproduct of optimization: Energy management improvements often emerge naturally from tightening facility design through simulation.
  • Digital twins compress project schedules: Resolving design conflicts virtually shortens construction and commissioning timelines.

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Details

AI Technology
Digital Twin
Company Size
MidMarket
Quality
Verified

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