Realtime manufacturing systems

The power of simulation

Today there are powerful production simulation software that can be used for creating detailed simulation models of manufacturing systems. These models can include machines with real data input and real control system code. The simulation models can also include human resources to realistically calculate the number of resources needed to run manufacturing, logistic material supply and service/maintenance.

Our mission is, together with our partner, make several concepts and virtually prove the advantages and disadvantages for different systems and production methods.

This will also educate an immature industry and lead them to not make the same mistake as Tesla and Elon Musk did with the Model 3. See example below.

The TESLA example

By experience, history, simulation and education, we can avoid great mistakes like the Tesla, Model 3 failure. Right balance between human and automation is based on history and experience. New users tend to be naive and overestimate both the capability, time estimations and level of automation. For Tesla reduction in robots combined with an increased number of workers gave maximum output in availability, productivity and turnback of investment. This experience was extremely costly.

The automobile industry learned their lessons

Older companies in the automobile industry learned this lesson in the eighties and, by not listening, TESLA is now learning the lesson 30-40 years later, spending an extremely high cost as a learning fee. The same risk applies to the house industry. We will not allow it to happen! Virtually running the complete factory will have the required answers and could avoid large mistakes.

Simulated factory environment example