Tecnomatix Plant Simulation for Manufacturing

Background on Industrial Simulation

The complex production lines and manufacturing processes of today’s manufacturers are best understood through a rigorous, analytical framework. It is no surprise that digital modeling and simulation are becoming essential pieces of the manufacturing IT toolbox. Industrial simulation software provides insight into potential problems and presents opportunities for improvement in plant and production line layout, process flow and many other aspects of a manufacturer’s operations. IndX's expertise with Tecnomatix, the manufacturing simulation software suite from Siemens, enables us to bring the power of advanced computational methods to our customers.

Customer
Beverage Bottler
Location
South America
Industry
Food & Beverage Manufacturing
Siemens Tecnomatix Plant Simulation

Challenge

The beverage bottler needed to implement an OEE monitoring system across six production lines, but defining accurate equipment states from large volumes of machine signals typically requires weeks of onsite trial and error and can be difficult to validate under every possible operating condition.

Solution

IndX used Siemens Tecnomatix Plant Simulation to model the lines and simulate equipment signals, enabling remote OPC-driven testing and stress testing of the OEE configuration across a full range of scenarios so the system could be verified, stabilized and deployed faster with less onsite effort.

Project Activities 

  • Conducted onsite analysis with plant personnel to understand production lines, process flow and monitored equipment
  • Collected and documented all available equipment signals and operational behaviors required for OEE state definition
  • Modeled the customer’s six production lines and in-process bottles using Siemens Tecnomatix Plant Simulation
  • Configured simulated equipment signals, failure behaviors and material sensors to reproduce real operating conditions
  • Added material flow and throughput counters to support performance validation and OEE calculations
  • Established OPC-based data transmission from the simulation model to a central data server
  • Connected the OEE monitoring configuration to the same data server to ingest simulated equipment signals
  • Tested OEE equipment state logic without needing physical access to plant equipment
  • Stress tested the OEE configuration by varying simulation parameters such as equipment failure rates
  • Validated system stability and troubleshooting outcomes in a controlled environment to reduce onsite trial and error

Business Drivers 

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Reduce time and effort required to define accurate equipment states for OEE monitoring
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Validate and stress test OEE configuration across all operating scenarios before deployment
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Minimize onsite commissioning time and disruption to production lines
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Improve reliability and stability of equipment monitoring and data capture
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Reduce implementation cost by avoiding weeks of trial-and-error troubleshooting
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Increase visibility into throughput, material flow and performance losses to drive continuous improvement

OEE Monitoring Systems

IndX is an experienced provider and system integrator of OEE (Overall Equipment Effectiveness) monitoring solutions. Configuring an OEE monitoring system is often an intricate process, since it requires matching signals exposed by each piece of equipment to a logical value, and then combining those values to create different equipment states. For example, a particular machine may be in a "Running" state only if signals 1 and 3 are "ON" while signal 2 is "OFF." With very large numbers of signals typically involved, defining equipment states is a common challenge in the OEE system design and implementation process.

Delivering Tecnomatix for Manufacturing

While implementing an equipment monitoring system on six production lines in the plant of a major South American beverage bottler, our consultants leveraged Siemens Tecnomatix Plant Simulation to speed up the equipment state definition process and stress test their OEE configuration under all possible manufacturing scenarios. During initial onsite analysis, IndX consultants worked with the customer’s plant personnel to gather information about their production lines, manufacturing processes and the equipment being monitored.

In the pre-deployment phase, our expert team modeled the customer's production lines and bottles in different stages of their processing and packaging lifecycles using Tecnomatix Plant Simulation software. The simulation model created contained all the equipment signals discovered during the onsite analysis, plus counters for material flow and throughput. Equipment failures and material sensors built into the simulation drove the values of these signals. The Tecnomatix simulation sent data to a server via OPC, the industry standard protocol for industrial device communication.

The OEE configuration under development was set to communicate with the same data server, receiving the equipment signals being simulated by Tecnomatix. We were then able to test our configuration of the OEE software without any physical access to the equipment being monitored. By changing parameters, such as equipment failure rates, within the simulation, our team could stress test configurations and check the system for stability under all possible conditions.

IndX's Advantage

Onsite configuration of the OEE system is often a cumbersome process requiring weeks of trial and error. IndX’s plant and line simulation expertise gave our team the ability to test and verify their system configuration, stress test the system under all scenarios and troubleshoot problems in a controlled environment. This reduced the time spent configuring the new system considerably, as a result saving resources and costs for our customer. And by being able to perform this configuration simulation and testing remotely, IndX also cut down on the need and effort for onsite testing. In the end, our team's industrial simulation expertise helped us design a solution to address a manufacturing problem and provide insight for performance improvement. Our technology-enabled approach made the implementation process of a cutting-edge plant floor system faster, more efficient and more cost-effective for our customer.

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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