- decreasing batch sizes with increasing product variety
- late changes in engineer‑to‑order environments
- parallele Steuerung von Werkstatt-, Batch- und Linienfertigung
- parallel control of workshop, batch, and line production
- lack of transparency regarding bottlenecks and actual lead times
Your challenges in production planning in electrical engineering
Variant manufacturing with decreasing batch sizes, short delivery times, and frequent changes – including in engineer‑to‑order environments.
Synchronization of production and assembly orders across multi‑level bills of materials with numerous subassemblies.
Workshop manufacturing, batch processes (e.g., furnace processes), flow production with and without buffers, as well as flexible assembly areas.
In addition to machines and personnel, mandrels, molds, heating capacity, test adapters, pallets, inner and outer casings, or other production resources limit production capacity.
Why APS4EM for the electrical engineering industry?
- Full representation of all bottlenecks and secondary constraints
- Algorithmic bottleneck optimization within a consistent overall plan
- Feasible, stable plans without the need for local adjustments
- Reduction of buffer times and coordination effort
- Minimization of lead times while simultaneously reducing capital tied up
- Setup and batch optimization, including AI support
- Smoother production with a longer planning horizon
Ihre Vorteile mit APS4EM
Targeted assignment of operations and machines
Performance‑based and resource‑driven assignment according to optimization criteria.
Integration of engineering and drawing milestones
Improved scheduling reliability in both rough‑cut and detailed planning.
Early detection of missing parts
Automatic validation with every plan adjustment.
Stable production with high employee motivation
Extended planning horizon with fewer short‑term changes.
Transparent workforce planning and control
Reduzierte Personalkosten durch exakte Zuordnung und Transparenz bei Über- und Unterauslastung.
Energy‑optimized production
In Verbindung mit Energiemanagementsystemen: Minimierung von Energiekosten und Lastspitzen.
Optimized batch and furnace processes
Maximale Auslastung bei gleichzeitiger Minimierung von Wartezeiten.
AI‑supported optimization
Intelligente Rüstplanung, Personaleinsatzoptimierung und Steuerung von Fertigungshilfsmitteln.
Planning architecture of the APS4EM tool suite
- Capacity planning over mid‑term horizons
- Load leveling and bottleneck identification
- Early capacity adjustments and delivery date validation
- Planning of repair and ad hoc orders
- Reduction of inventory levels through stable capacity management
- Realistic start times for setup, production, and maintenance
- Automatic assignment to workstations and teams
- Continuous optimization in the event of disruptions
- Precise integration of short‑term delivery date requests
- KI-gestützte Optimierung von Rüstzeiten und Fertigungshilfsmitteln
- Integration of energy and spot markets with a connected EMS
- Planning based on qualifications and availability
- Synchronization of workforce and machine capacity
- Dynamic response to disruptions
- Transparent basis for decision‑making for management
- Efficient real‑time communication
With APS4EM, you can plan complex electrical engineering manufacturing in an integrated and future‑proof way.

Success Story: Production planning in electrical engineering
Siemens Energy – Transformers Weiz successfully implemented the production planning tool Opcenter APS together with MCP and tailored it to the specific requirements of the electrical engineering industry.Result:
- transparent and integrated production planning
- Partially automated planning in winding production
- optimized planning processes in insulation material production
The planning reliability gained and the time saved enable the plant to allocate resources more effectively, manage production processes in a stable manner, and consistently drive the further development of planning.
Where production planning was previously highly manual and department‑specific, Opcenter APS now generates a consistent, executable production plan that takes constraints, capacities, and dependencies into account – ensuring reliable control of complex manufacturing processes at the Weiz plant.
Your next step toward stable and economically optimized electrical engineering manufacturing
In a structured potential discussion, we analyze your rough‑cut and detailed planning processes – from multi‑level bills of materials and batch processes to the use of critical production resources.
You will receive a well‑founded assessment of realistic potential in terms of lead time, on‑time delivery performance, setup optimization, workforce deployment, and working capital – including an evaluation of project effort and implementation structure.























