MES in Shift Planning: Efficient Processes for Manufacturing

Automated machine data is standard in manufacturing, yet integration with workforce planning is often lacking. As long as Manufacturing Execution Systems (MES) and shift planning exist as isolated data silos, deviations from the production schedule cause delays and high coordination overhead during ongoing operations.

Data is available, but often remains unused because operational dependencies remain unclear without system integration. Connecting workforce planning links the data layers of production. This article describes how MES-backed shift planning closes information gaps, increases response speeds during disruptions, and enables demand-led management of skilled workers.

The Data Gap Between Production Level and Personnel Management

A Manufacturing Execution System delivers precise performance data for a plant. It tracks current order progress, overall efficiency, and technical availability down to the second. However, this data only captures the technical component of production. Operational execution relies on staff, whose deployment in many plants is still based on static, decoupled models.

When information regarding early order completion or unplanned delays is not immediately transferred to workforce planning, unproductive wait times occur. Staff are held available at machines that require no capacity, while bottlenecks arise elsewhere. System integration resolves this condition by using machine status directly as a primary control variable for shift allocation, turning workforce planning from a purely administrative task into an active component of production control.

Dynamic Incident Management Through Automated Information Chains

Connecting machine status directly to personnel planning becomes particularly relevant during unplanned operational changes. Technical integration of MES and Workforce Planning (PEP) automates the response to unplanned changes via a fixed process chain:

• Event-driven notification: The Manufacturing Execution System registers a deviation from the target state (e.g., a sudden machine breakdown or quality defect).
• Automated verification: The planning software identifies qualified staff within the active shift in real time who are authorised to resolve the issue or perform necessary changeovers.
• Capacity optimisation: Simultaneously, the system generates data-driven recommendations to reallocate freed-up personnel to other active production lines. This reduces the duration of organisationally induced downtime and maintains continuous production flow.

Precise Workforce Demand Planning Based on Real Production Orders

Efficient processes require staffing levels to be aligned precisely with actual workload. An integrated solution derives workforce demand directly from order data and routing sheets stored in the MES.

Rather than calculating with theoretical average values from production planning, the integrated solution uses actual machine cycle times. The system calculates the required headcount and qualification levels based on actual machine occupancy and order complexity. This prevents overstaffing during low-demand phases and ensures sufficient specialist staff are scheduled for complex production orders. Unit labour costs are thereby optimised through demand-led resource control.

Qualification Validation and Statutory Compliance

This demand-led resource control must not compromise process quality or occupational safety. While workforce planning secures legal and professional compliance in advance, direct coupling with the Manufacturing Execution System functions as a final real-time check. It prevents short-term manual adjustments on the shop floor from leading to unnoticed non-compliance.

Before an employee logs onto a machine within the MES, the system automatically checks background data in workforce planning:

• Proof of competence: At the moment of system logon, the system verifies whether the employee's qualification level for that specific process step is currently valid or whether certificates have expired since schedule creation.
• Occupational health & safety: The software reconciles actual working hours. If shifts extended spontaneously the previous day, the MES blocks machine logon if statutory rest periods have not yet been met.

Machine operation is only released after successful validation of these parameters. This automated double-check prevents operator errors during shift operations and ensures audit-proof record-keeping for compliance and liability purposes.

Strategic Relevance of End-to-End Data Flow for Manufacturing

In summary, this automated validation leads to extensive process automation that extends beyond mere regulatory compliance. Seamless data flow from the machine level to HR administration eliminates manual interfaces and reduces error susceptibility across production control.

Companies benefit from:

• Accelerated response times during plan deviations and technical disruptions.
• Sustainable personnel cost optimisation through precise, order-backed demand planning.
• Consistent compliance enforcement through automated checks of qualifications and regulations.

Eliminating data silos between machinery and workforce is essential for resilient production that responds flexibly to volatile market demands.