Manufacturing Simulation

Decisions regarding manufacturing development, optimization, or reorganization are driven by many factors and can be costly while the potential benefits are often hard to justify prior to implementation. Traditionally, decisions are made based upon intuition and past experience, sometimes with the support of spreadsheet tools. But these approaches can be risky and are far from modern management decision support. Simulation is one of the most powerful techniques currently being used to analyze manufacturing systems, evaluate the impact of changing various system parameters, and making the right probabilistic or multi-scenario informed decision.

Simulation modeling is widely used in manufacturing for various problems from intermediate process optimization to strategic management. Simulation allows you to test capital-intensive strategies “in silico”. Even the implementation of well-understood manufacturing strategies such as JIT or Lean benefit from simulation that allows you to analyze not just the specific process but the manufacturing system as a whole. Reducing the number of physical experiments and changes through the use of simulated experiments, for example, can be a huge advantage in personnel change management and “process fatigue”.

  • production planning and scheduling
  • facility design and capacity planning, right-sizing
  • process improvement, bottleneck analysis
  • production line balancing
  • resource allocation
  • inventory planning (WIP and raw materials)

Manufacturing simulation case studies

Example manufacturing simulation models

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