Production controlling

"Production controlling" refers to the monitoring and management of production processes in a company to ensure efficiency, cost control, and quality. It includes the planning, control, and analysis of production data to identify deviations and implement measures to optimize production. Production controlling helps achieve production goals, make optimal use of resources, and enhance competitiveness.

Typical features of software in the area of "production controlling" include:

1. Production planning and control: Creating and managing production plans, monitoring production progress, and adjusting plans in case of deviations.
2. Cost control and budgeting: Monitoring production costs, creating budgets, and ensuring adherence to these budgets.
3. Key performance indicators (KPIs): Capturing and analyzing KPIs such as throughput, utilization, scrap rates, and delivery times.
4. Resource management: Managing and allocating resources like personnel, machines, and materials to optimize production.
5. Quality control: Monitoring and ensuring product quality through continuous inspections and analyses.
6. Reporting and analysis: Generating reports and analyses to evaluate production performance and identify improvement opportunities.
7. Risk management: Identifying production risks and developing measures to minimize these risks.
8. Tracking and traceability: Tracking production batches and ensuring traceability of production steps to guarantee quality and compliance with regulations.

Examples of production controlling:

1. Cost control: Analyzing and reducing production costs by identifying and eliminating waste.
2. Production monitoring: Real-time monitoring of production lines to immediately identify and address disruptions.
3. Quality management: Continuously monitoring and improving product quality through regular quality checks and root cause analysis of quality issues.
4. Resource efficiency: Optimizing the use of resources through effective planning and control of production means.
5. Performance analyses: Analyzing production data to evaluate the efficiency and productivity of production processes.