Tailored Solutions Instead of Standard ApproachesCustomised planning and optimisation solutions—aligned with the processes, constraints, and objectives of your industry.
Measurable Performance ImprovementsGreater planning reliability, improved resource utilisation, and higher on‑time delivery through data‑driven decision models and clearly defined KPIs.
Implementation as EqualsClose collaboration with business units, IT, and management—ensuring solutions that are widely accepted and deliver sustainable impact.
Hands‑On. Data‑Driven. Impactful.
We analyse your specific planning challenge and develop solutions that are functionally robust, technologically sound, and economically viable—using standard software, custom development, or an intelligent combination of both.Our decisions are based on reliable data and clearly defined objectives.We implement pragmatically and in close collaboration with your teams.We measure success by tangible results.Our goal: unlock revenue potential, reduce tied‑up capital, and sustainably manage risk.
+15% more accurate forecasts. –25% supply chain costs.
“Together with MCP, we significantly improved our forecast quality, reduced inventory levels, and sustainably enhanced the stability of our supply chain.”
Head of Supply Chain
Food industry
Process Consulting – Best Practices for Your Supply Chain
We analyse your supply chain with a clear focus: creating transparency, systematically activating economic levers, and making your planning processes structured and controllable.At the core are three key questions:
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Revenue & Costs
Where are you losing revenue—and burning cash unnecessarily?Stockouts, excess inventory, and inaccurate forecasts erode margin every day.We identify economic leakages and prioritise initiatives with measurable impact on results.
02
Critical Complexity
What truly matters in your supply chain?We focus on the products, channels, and processes with the greatest impact on performance, service levels, and stability.
03
Planning Approach
How can you sustainably improve forecast quality and service levels?With clearly defined KPIs, differentiated inventory strategies, and structured review processes, we establish transparent, robust planning frameworks.
The result: clear decision foundations, stable planning processes, and a supply chain that remains reliably controllable even under volatility.
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Optimised Production Planning Through Algorithms
Mathematical optimisation enables precise and automated production planning. Complex dependencies between orders, resources, and processes are systematically taken into account—resulting in stable, efficient, and realistic production plans.
01
Setup Time Optimisation
Optimised detailed scheduling for discrete manufacturing with complex setup and resource dependencies.The algorithm minimises setup times and accounts for varying processing times, parallel production lines, shift calendars, and secondary resources. Complex interdependencies between orders are systematically incorporated.The result: realistic, stable, and significantly more efficient production plans.
02
Process Industry Scheduling
Automated and optimised production planning for the process industry.The algorithm accounts for contamination risks, time buffers, incompatible sequences, and the availability of equipment and intermediate storage.This reduces delays, setup effort, and cleaning requirements, ensures balanced resource utilisation, and prevents unplanned downtime.
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Core Resource Assignment
Reliable assignment of critical secondary resources in complex production environments.Production plans are only stable when all required resources—such as kettles, tanks, tools, or intermediate storage—are available and correctly allocated.Mathematical optimisation computes solutions in seconds that clearly outperform manual planning—precise, consistent, and resource‑efficient.
Think Strategically. Deliver Operational Impact.
For more than 15 years, we have been designing planning processes and planning systems for manufacturing companies.We combine process expertise, software know‑how, and mathematical optimisation—to deliver sustainable performance instead of short‑term effects.