Inaccurate planning is a primary cause of delays, machine downtime and inefficient use of resources.
This episode is a playbook for turning production planning from guesswork into a science, using real-time machine data, material availability checks and what-if simulations to build schedules you can trust.
In this episode, you’ll discover
- How imprecise schedules cause late deliveries, material-related downtime and unbalanced workloads
- How real data on cycle times, machine availability and stock levels supports realistic scheduling
- How to test schedule variants in a Digital Twin and prepare for failures or material delays
- How a packaging manufacturer cut lead times by 20% and a heavy-industry plant reduced downtime by 15%
- A step-by-step plan: data audit, process model, simulation and rollout
Want to see how this works in your plant? Book a free session with a DBR77 expert: Book a meeting
Listen to Factory on Air on Spotify or watch all episodes on YouTube.
