Production planning and management
In machine and systems engineering, thousands of production orders with numerous work processes often have to be intelligently distributed over countless resources. Manual planning is hardly possible here. With intelligent production planning and control against limited planning, adherence to delivery dates can be increased and backlogs reduced.
OUR GOALS WITH YOUR COMPANY IN PRODUCTION PLANNING AND MANAGEMENT
ADHERENCE TO DELIVERY DATES
COORDINATION AND SYNCHRONIZATION OF ALL PARTS & ORDERS
MATERIAL FLOW OPTIMIZATION
REDUCTION OF EXPENSES
HIGH CUSTOMER SATISFACTION
Companies with complex manufacturing and planning processes require suitable planning tools. Conventional ERP systems ignore the important question of which production step with which resource and part is to be procured and when it should be realistically planned. Therefore, in order to achieve short production cycles with minimum stock in circulation and maintain high adherence to delivery dates, it is important to ensure that you are using sufficient planning tools.
As a supplement to data-managing ERP systems, an intelligent APS system provides for production control and planning:
- Optimized planning with limited capacity
- Dissolution of backlog
- Consideration of collective orders
The complex order networks in design, procurement and production can be implemented by FELIOS | APS without any backlogs and synchronously. Capacities are always intelligently planned with an eye to all current order networks. FELIOS | APS also offers the following advantages for your production:
PROCUREMENT IN LINE WITH DEMAND
Optimized procurement management leads to lower inventories & fewer missing parts.
IDENTIFICATION OF CRITICAL PATHS
Automatic identification of the causes within the value chain, including problem-solving suggestions.
HIGH ADHERENCE TO SCHEDULES
We can react flexibly to customer changes & requests.
Optimized material management in material provision and picking.
SHORTER THROUGHPUT TIMES
Through practice-oriented and dynamic scheduling procedures, throughput times can be reduced.
Targeted suggestions for the sensible use of outsourcing or overtime allow cost reduction.
EARLY WARNING SYSTEM
Production problems can be immediately reported and resolved through real-time optimization.