Manufacturing control tasks form the operational backbone of modern manufacturing by translating theoretical planning targets into a physically congestion-free flow of materials. To maximise value creation, machine capacities, personnel and material availability must be orchestrated in real time and corrected immediately in the event of deviations. As a Fraunhofer spin-off, we at ebp-consulting implement manufacturer-neutral control mechanisms that consistently eliminate waste and ensure a high-performance factory organisation.
Order Release
Order release marks the controlled start of physical production and only takes place following a granular check of material and resource availability. Its core function is to prevent orders from being scheduled without being checked, thereby causing queues at bottleneck machines. There is significant potential for optimisation here through the drastic reduction of work-in-progress (WIP) stocks, which stabilises lead times and reduces capital tied up on the shop floor. In operational practice, we use load-oriented approaches (BOA) or Kanban pull systems to link release strictly to actual material requirements. In this way, we transform rigid push logic into a self-regulating and congestion-free order processing system.
Sequencing
Sequencing defines the exact chronological order in which approved production batches are processed at specific workstations. The focus is on the intelligent grouping of production orders with similar set-up conditions in order to systematically minimise time-consuming tool changes and unproductive machine changeovers. The greatest potential for optimisation lies in the significant increase in Overall Equipment Effectiveness (OEE) achieved by reducing downtime. In practice, we tackle this task by using advanced APS (Advanced Planning and Scheduling) systems and heuristic optimisation methods, which form set-up families and dynamically adjust machine utilisation in real time. This maximises value-adding throughput and guarantees the highest level of on-time delivery.
Capacity Management
Capacity management continuously reconciles the upcoming order volume with the physically available machine and personnel resources. It acts as a dynamic balancing mechanism that proactively prevents impending overloads at critical bottlenecks and intelligently redistributes workloads. Untapped potential is often hidden in a lack of transparency, which leads to buffer times or makes expensive overtime shifts necessary. We establish data-driven capacity balancing based on the Theory of Constraints (ToC) to fully exploit the production system’s maximum rhythm. In doing so, we harmonise production, ensure on-time delivery and establish robust capacity limits.
Material Provision
Material provision orchestrates the physical replenishment of raw materials and components from intralogistics, precisely synchronised with the takt time of the assembly lines. To avoid overcrowded areas on the shop floor, manual search times and handling errors, the material must arrive at the right place at the right time. The integration of automated provision concepts offers significant potential for optimisation, minimising dwell times and reducing capital tied up in inventory. In our consultancy projects, we achieve this through just-in-time or just-in-sequence call-offs and the seamless integration of automated guided vehicles (AGVs/AMRs) with production control. This eliminates manual replenishment errors and guarantees a constant, uninterrupted flow of materials.
Production Data Acquisition (PDA) and Process Monitoring
Continuous production data acquisition (PDA) and process monitoring form the digital backbone of production control by analysing production progress, processing times and scrap volumes in real time. It provides production planners with the essential transparency needed to react immediately with corrective measures in the event of machine faults or material bottlenecks. The potential for optimisation here lies in bridging the information gap between planning and the shop floor, thereby significantly reducing unplanned downtime. In practice, we rely on the integration of high-performance Manufacturing Execution Systems (MES), which serve as a digital feedback loop and continuously improve the empirical database for future planning cycles. In this way, we transform reactive action into predictive, highly data-driven control of factory organisation.