Manufacturing Simulation

The word “simulation” is defined as “the imitation of the operation of a real-world process or system over time. [1]” With this definition in mind, it is easy to understand why simulation is ubiquitous in Engineering and Industrial organizations; imitating a real-world process or system allows experts to study the process or system they are interested in within a controlled, repeatable environment. Some typical examples include:

  • An aircraft manufacturer will perform simulation on the air flow and drag around their aircraft during their design process. The results may be used to inform design changes to reduce drag.
  • An engine manufacturer will perform simulation on the heat exchange throughout the engine to identify the maximum temperature of its components during operation. The results may be used to inform material choices or design changes.

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Source: Siemens Tecnomatix Plant Simulation

While simulation is well-established during product design and verification, industrial organizations typically do not employ this powerful methodology to the next stage of their value chain: manufacturing of the product. As a result, organizations lose opportunities to study the behavior of their manufacturing processes and systems before they are deployed. Since commissioning of new manufacturing facilities, production lines, and processes is often costly and capital-intensive, applying simulation methods to manufacturing can yield enormous benefits including:

  • identifying manufacturing bottlenecks and opportunities to increase throughput
  • Identifying cost savings opportunities such as optimization of direct and indirect labor
  • Validating the expected performance of new or existing production facilities or value streams

Hyla Soft specializes in applying Simulation methods to manufacturing and production systems and processes. Our consultants can help your organization to identify opportunities to strategically employ simulation to study manufacturing processes and systems, giving your teams the information to drive improvements.

[1] J. Banks, J. Carson, B. Nelson, D. Nicol (2001). Discrete-Event System Simulation.

Manufacturing Simulation Plant Simulation In Tecno

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