The POEM Production Planning System helps optimize production processes through order-based planning, a visual Gantt view, automatic rescheduling, and seamless MES integration.
Manual planning represents the first level, where operations in the schedule can be easily rearranged using a drag-and-drop method. Importantly, POEM APS still considers costs and technological dependencies, even at this level. However, no optimization is performed during manual planning.
This level introduces automation to assist in determining the optimal sequence of operations. Heuristic scheduling enables planners to generate an efficient and feasible production plan in just seconds—with a single click. It is an excellent tool for quickly producing effective manufacturing schedules.
At this level, scheduling is handled entirely by the artificial intelligence engine within POEM APS. Using a genetic algorithm, the system considers all master data, rules, and constraints defined in the production recipes. POEM APS seeks to create a balanced production plan by evaluating and reconciling conflicting conditions. The generated plans are cost-optimized and presented as intelligent recommendations.
An efficient and easy-to-use solution designed to help your company achieve maximum performance.
The role of POEM APS is to generate the most optimal production schedule based on predefined master data and available resources—this is what we call detailed production scheduling.
In the POEM system, production planning and optimization are powered by artificial intelligence, using a genetic algorithm.
The algorithm runs for just a few minutes and compares thousands of realistically executable production plans to find the most efficient one based on predefined parameters—making production faster and more cost-effective.
Importantly, every proposed plan remains executable at any moment during the optimization process.
The genetic algorithm aims to fulfill either the priorities of a selected optimization scheme or the custom criteria defined by the production planner.
The greatest value of this solution lies in its ability to balance conflicting objectives based on the selected settings—responding dynamically to changing market conditions.