Challenge 1: Getting fast answers to complex questions
“How should we redesign the line to maintain social distancing and manage with reduced staff? Should we automate processes as part of this?”
“Will we benefit from deploying AGVs? If so, what type and in what configuration?”
“What’s our capacity to supply if we experience another extreme event outside of our control?”
These are difficult questions usually involving complex, variable and interconnected business processes. In addition, there can be hundreds, if not thousands of “what-if” scenarios you could probe as you try to answer them.
Predictive digital twins help you cut through that complexity. They give you a risk-free way to analyse manufacturing, assembly and supply chain logistics processes.
And they can help identify the technology, personnel, operational, and procedural requirements needed to ensure your business is resilient enough to ride out any unexpected operating conditions.
Importantly, you get those answers within your required decision time. To give you an idea of speed, it used to take Washington River Protection Solutions (WRPS) 20-25 working days to answer highly complex questions involving hundreds of “what-if?” scenarios being evaluated over many simulated decades of process activity.
WRPS manages a challenging nuclear waste clean-up project with major cost and safety considerations, so the stakes are as high as it gets.
Now, thanks to Lanner’s cloud-based WITNESS.io simulation solution, it takes just a couple of days from posing complex business questions, to comparing consolidated strategic answers and making mission critical, million-dollar decisions.