Transforming an Aircraft Plant with Simulation

About the Customer

The customer is an American Aerospace & Defense manufacturer with global service operations. The customer’s aircraft engines are widely used in both civil aviation (especially airlines) and military aviation. The customer is one of the "big three" aero-engine manufacturers. In addition to aircraft engines, they manufacture gas turbines for industrial and power generation, and marine turbines.

Customer
American Aerospace Manufacturer
Location
United States
Industry
Aerospace & Defense
Siemens Tecnomatix Plant Simulation

Challenge

The aerospace manufacturer needed to redesign an existing aircraft engine facility from an OEM operation into an MRO plant and required a data-driven way to validate layout, resource needs, capacity and throughput while reducing inventory and investment risk.

Solution

IndX built a full-plant simulation model using Siemens Tecnomatix Plant Simulation and used scenario analysis to evaluate layout and operating assumptions, quantify required resources and throughput performance, and deliver reporting plus end user training to support confident decision-making for the facility transformation.

Project Activities 

  • Designing and creating a complete simulation model of the customer’s entire plant and manufacturing process leveraging Siemens Tecnomatix Plant Simulation software
  • Analyzing the model and simulation results to validate the customer’s plan for plant layout, resource allocation, capacity planning and throughput
  • Delivering a final presentation and report detailing the entire project, what information was gathered and how it was used
  • Providing onsite training and documentation for software end users

Business Drivers 

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Ensure efficiency and productivity of redesigned facility
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Reduce inventory and throughput time
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Optimize system dimensions, including buffer sizes
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Lower investment risks through early proof of concept
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Maximize the use of manufacturing resources (machines, people, logistics, etc.)
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More About the Project

Our world-class team of IndX experts was brought in to help the customer’s project leaders validate their design decisions. Our Digital Twin specialists utilized Siemens Tecnomatix Plant Simulation software to virtually simulate the customer's entire process. The model would help the customer better visualize their future layout, run various what-if scenarios, and ensure that the new design would be able to meet the demands of their future workload.

After our team completed the design and virtual simulation of the plant layout, we analyzed the minimum resources (workers, transportation, storage, fixtures) needed to attain the customer's future repair workload goal. We looked at the maximum capacity their process could handle. We also determined what the customer's maximum throughput and WIP (Work In Progress) would look like during the entirety of the following year. All of these analyses were summarized and visualized within charts, tables and one big report. The simulation delivered was also flexible enough so that the customer would be able to create new scenarios within their process and analyze the results moving forward.

IndX's Advantage

Thanks to the solution delivered by our team, this global aerospace leader has gained the validation needed to move forward with the planned redesign of their aircraft facility. More importantly, they can now do this with the confidence that they are making the right decisions, minimizing costs, maximizing throughput and optimizing plant performance. These validations are being incorporated into decisions that are being made by the manufacturer today. Finally, our simulation model will continue to bring the customer value and facilitate smarter decision-making for both their operations and their business in the future. This is the immense power of advanced simulation for manufacturing!

Matteo Percivale

Simulation & Decision Science Practice Lead
Matteo has over 10 years of experience delivering MES, MOM, and manufacturing simulation programs across pharmaceutical, chemical, CPG, and discrete manufacturing industries. At IndX, he leads the Simulation and Decision Science practice, building factory digital twins and decision models to improve layout design, OEE, and operational performance.
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