About this project
Factory downtime is not a problem with the machines. It is a problem with making decisions. When an important machine breaks down people waste a lot of time looking at manuals for the machines logs for the machines, systems for keeping track of inventory schedules for production and reports about money before they can make the right decision. Forge-OS is a system that uses intelligence to help with big problems in the factory. It makes a copy of the factory during a crisis. This copy is called a Decision Twin. The system uses resources and tools from MCP to analyze a lot of information. This information includes logs for the machines manuals for the machines, history of maintenance, inventory how production will be affected and financial risks. Forge-OS does not work like automated systems or tools that try to predict when maintenance will be needed. Instead it comes up with different plans to fix the problem. It then predicts how each plan will affect the factory and its money. The system shows the people in charge a list of options with reasons why they're good choices. A person must agree to the plan before it is put into action. This ensures that the people in charge are always in control and know what is happening. Once the plan is approved Forge-OS automatically takes care of tasks. These tasks include maintenance, inventory, production, buying things and making reports. The system uses workflows that are powered by MCP. Every time there is a problem the system saves what happened into a kind of memory for the factory. This helps the factory learn and respond faster to problems in the future. Forge-OS can help the factory go from a machine to a decision by the people in charge in less, than 60 seconds. It helps turn problems in the factory into fast and smart decisions that make sense.
Manufacturing & Industry 4.0 track
Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.