Preplanned production or process orders are made available from SAP ERP for production control after release in SAP MES.
With the fine control directly based on SAP MES (interactive graphical order control station with drag & drop function), the orders can be distributed to available machines, fine-tuned, released and started taking into account current store floor information, such as the current machine status, taking into account necessary and available resources.
The extremely high level of transparency across all production orders ensures optimal fine control and the making of secure decisions with simultaneously high resource utilization
Order Cockpit 5.0 at a glance
Transparency about pending, running and processed with graphical rescheduling function via drag & drop.
Optimal plant utilization
Precise planning of the production sequence, optimization and readjustment ensures maximum plant utilization and uniform production utilization.
Optimal resource utilization
Allocation of orders to machines and equipment, display of of set-up times and visualization of violations of basic deadlines directly in the fine control. Setting of planned downtimes, order splitting and correction of order overlaps.
Order control and procurement of resources for production orders in line with resource procurement of production orders.
Manual fine control of priorities
Optimization of production processes and increase in productivity through improved resource allocation and production control.
Avoidance of cost-intensive retooling
Avoidance of product changeovers or grade changes to Achieving reasonable production capacities. Also the fine control of campaigns in the process industry environment is also supported in order to minimize expensive changeover times and to increase productivity.
- Optimal capacity utilization through graphic fine order control
- Flexible production through optimized production sequence
- Dynamic prioritization of orders
- Reduction of cost-intensive changeover times
- Faster processing and execution of and execution of rush orders due to increased flexibility
- Adherence to delivery times due to high process orientation
- Fast and targeted rescheduling in the event of unforeseen events