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Electronics manufacturing production planning and optimization with simulation

Estimated Watching Time: 5 minutes

Factory level digital twins include shop floor layouts, processing times, materials, staffing, production orders, plant control along with energy consumption and control. This data is fed to the plant simulation for optimized production planning and optimization. Plant performance is critical for data-driven decisions when evaluating investments and operations.

Watch this short video for an overview of plant simulation for production planning and optimization.

What challenges can plant simulation address for electronics manufacturers?

Plant simulation can help electronics companies create complex digital twins in a collaborative, efficient and effective manner to:

  • Reduce footprint, waste, throughput time, capital expenses, energy consumption

  • Increase flexibility for more product options

  • Detect process interdependencies

  • Make data-driven decisions

  • Optimize control strategies

What is plant simulation and how can it help electronics companies?

Teams use plant simulation for studies and experiments of material flow, operations, staffing and logistics in electronics production. Some of the major topics addressed by plant simulation include:

  • Material flow and throughput validation

  • Test of production control and layout alternatives

  • Optimization of material handling and logistics

  • Show production KPI: utilization and performance

  • Dimensioning of capacities: machines, buffer, AGV

What questions can plant simulation help electronics companies find answers to?

If your operations or planning team has asked any of these questions, it might be time to start investing in plant simulation to develop a digital twin and explore opportunities for improvements.

  • Where are the bottle necks?

  • Can I produce more with less?

  • What are the process interdependencies?

  • What is the optimal batch size?

  • Do I need that much space/inventory/equipment?

  • Can I handle more products and variants?

  • How can I be more responsive to changing customer demands?

  • How can I evaluate new control strategies without disrupting production?

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