Indiana Next Generation Manufacturing Competitiveness Center (IN-MaC), created the software to help manufacturers better predict and adjust costs to their manufacturing processes.
It is a predictive cost-modeling tool. It aims to help manufacturers better understand the overall costs of producing a product. Using the program you can see how changes to the manufacturing process can affect those costs.
A user can vary the manufacturing process line with alternate configurations. You can choose equipment, robots and employees, to see how changes affect the final cost of the product. Each process step represents cost parameters. A user can adjust them to study the effects on overall manufacturing costs.
The software has been already shared with the International Olympic Committee. The designers took data from the 2016 Games in Rio de Janeiro. They have managed to show how the software could help event planners determine costs and configurations in terms of crowds, security, transportation arrivals and other parameters.
Now the designers are working on a web version of the system, along with connecting it to real-time data sensors on manufacturing equipment.
The team also is exploring ways to integrate machine learning and deep learning into their solution.
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