IPOsystem is the world's first Smart Factory system to use Narrow Artificial Intelligence algorithms for independent and direct control of the production processes.
Without the participation of planners and direct supervisors (!) on the production floor, IPOsystem makes optimal decisions regarding the order of implementing each task and the selection of resources for the same. The system manages the work of the personnel and machines in real time, taking into account all changes in their condition as they occur, as well as the current situation on the production floor. In the event of any deviation from the standard assumptions, the system immediately, within a few seconds, makes suitable adjustments and additional optimisations. Upon logging into the system, each employee immediately receives a command to carry out the optimal task to suit that specific time. In this way the overall production process is managed in terms of the most effective path for the execution of all production orders, with the maximum use of the personnel and machine availability.
Such a system of production management involves overall process optimization in real time. Rather than relying on production scheduling, IPOsystem plans the production and manages the resources through a smart decision mechanism, making IPOsystem one of the first in the Autonomous Decision System (ADS) class.
IPOsystem differs significantly from MRP, ERP, APS and MES systems, whose task is the provision of information which facilitates the decision-making process by people.
Practical experience shows that managers, despite using these tools, are frequently unable to assess the real consequences of their decisions on the entire production process - such as the impact on efficiency and the status of all orders.
IPOsystem substantially alters the responsibilities of the management staff. After IPOsystem implementation, their major task is the supervision of system operation instead of comprehensive planning, logistic works and other activities related to the assignment of tasks for employees in the production area.