Why Classic Planning Fails With a High Number of Variants – and How Intelligent Line Balancing Solves the Problem
In multi-variant assembly lines, millions of possible combinations arise when assigning tasks to stations. At the same time, technical dependencies, ergonomics, resources, drift areas and cycle times must be taken into account.
In this presentation, Victor, Head of Consulting & Services at TAKTIQ, will show how a data-centric approach enables intelligent line balancing and makes this complexity manageable.
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Insights From This Presentation
Understanding the complexity of modern assembly lines
- Why variant diversity increases the number of possible balancing solutions exponentially
- What effects different models and options have on line planning
- Why traditional planning methods quickly reach their limits today
Which data enables realistic line balancing
- Which requirements must be taken into account
- How a structured data model improves the quality of planning and enables simulation
How computers can really speed up planning
- Why powerful calculations are crucial for finding practicable solutions
- How modern optimization methods evaluate thousands of possible changes per second
- How interactive planning and automatic optimization work together effectively
- 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:
- plan multi-variant assembly lines that correspond to the key figures listed here
- Carry out regular line balancing or rescheduling
- want to make planning decisions faster and more informed
- or look for ways to use simulation in your planning
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