Even the best planning result remains ineffective if its impact is not clearly presented and economically evaluated. In production environments, decisions often have to be made under time pressure:Which scenario is viable?Where do risks arise?What impact do short-term changes have? Transparent KPIs and structured analyses provide the necessary decision-making foundation—for production management, controlling, and executive leadership.
Typical decision-making questions in production planning
Which scenario should be implemented in production?
Which option best meets delivery, cost, and utilization objectives?
What impact do unplanned events have?
What impact do machine breakdowns, delayed goods receipts, or absences due to illness have on delivery performance and capacity?
What economic effects can be expected?
How do inventory levels, lead times, utilization, and costs develop across different scenarios?
Can an order be brought forward?
What are the implications for confirmed orders, resources, and delivery dates?
Where do bottlenecks occur?
Welche Ressourcen entwickeln sich zu kritischen Engpassfaktoren im Planungshorizont?
This creates true decision-making capability through reporting and Power BI
- Scenario comparisons at KPI level
- Identification of critical bottlenecks
- Analysis of on-time delivery and service level
- Transparency on WIP and inventory development
- Evaluation of resource utilization
- Derivation of concrete optimization measures
Create transparency for better decisions
In a structured potential analysis, we evaluate how reporting and KPI dashboards can accelerate and economically secure your decision-making processes.
You will receive a well-founded assessment of which KPI structures, analyses, and management dashboards are most suitable for your specific environment.