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MTM TiCon × TAKTIQ – With existing time studies for better line balancing

In this joint webinar by MTM and TAKTIQ, we will use an end-to-end practical example to show how detailed time studies from MTM TiCon can be transferred directly into interactive and automated line balancing in TAKTIQ.

This allows you to use existing time studies to find better balancing solutions for your assembly lines and maximize their potential.

Insights From This Presentation

From MTM time studies to reliable line balancing

  • How detailed MTM analyses are structured in TiCon
  • How work processes, factors and added value are properly modeled
  • Why clean time data is the basis of every good line balancing

Line balancing under real production conditions

  • How TAKTIQ calculates with variant diversity, take rates and order programs
  • How restrictions (working positions, heights, sequences, buildability) are taken into account
  • Why balancing only works with complete modeling of reality

Simulation and optimization in seconds

  • How overloads are eliminated manually and automatically
  • How alternative scenarios (e.g. different order volumes or cycle times) are simulated
  • How automatic optimization algorithms evaluate several thousand solutions

Jannis Drewello TAKTIQ Product Owner
TAKTIQ

„The line balancing of multi-variant assembly lines only works if time data, variants, restrictions and optimization are brought together in one system. Isolated models are not sufficient for this. “

  • 20sec – 1h cycle time
  • 15 – 1.000 workplaces
  • 100 – 2.500.000 tasks
  • 10-1027 order variants

Is this presentation relevant to you?

This content is of particular interest to you if you:

  • Use MTM TiCon and want to line balance with your time studies
  • Plan multi-variant assembly lines
  • want to make your balancing more efficient and transparent
  • want to simulate and optimize production planning to a greater extent
  • Reduce planning time and better secure decisions
  • are looking for modern software for production planning

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