Adherence to deadlines
We improve your adherence to delivery dates by optimising your capacity and material planning in order to reduce inventories and avoid contractual penalties.
Technology
We implement AI-powered technologies to fine-tune production to improve your throughput, productivity and on-time delivery.
Flexibility
We increase the planning flexibility of your production so that you can react quickly to changes in demand.
Efficiency
We implement measures to make better use of material and energy resources so that you can save costs and protect the climate.
Solutions for critical challenges
We develop sophisticated but pragmatic supply chain solutions to some of the most pressing and complex supply chain management issues facing companies today.
Our aim in working with you is to find sustainable solutions to the challenges you face in managing your supply chains. We rely on an analytical approach, digital methods, proven skills and – what is very important to us – many years of practical experience.
Answers to complexity
- Alignment of production targets to find an economic compromise between adherence to delivery dates, work in progress, capacity utilisation and personnel productivity
- Development of strategies to reduce waste, cut inventories and reduce the need for scrapping in order to reduce the proportion of material costs in value creation
- Development of strategies and methods for the automatic maintenance of production master data and improved scheduling of production orders in order to reduce the effort involved in production control
- Reducing the complexity of order scheduling through organisational and control optimisation to increase capacity utilization, reduce inventories and cut throughput times
Services in detail
- All
- Finance & Controlling
- IT
- Purchasing & Procurement
- S&OP
Value chain update
Strategic potential analysis and feasibility assessment
Inventory and delivery readiness management
Forecast optimization and Sales & Operations Planning (S&OP)
Logistics product portfolio analysis and optimization
ERP and APS Optimization
Integrated planning and control model
Logistics controlling and data quality
Optimisation of the supply chain through the use of a digital twin
Simulation has proven to be an excellent tool for uncovering potential in your supply chain, identifying improvement measures and testing and optimising them in advance before they are implemented in ongoing operations:
Using empirical simulation, we bring the optimisation potential of your supply chain management to light and replace the fog of gut feeling with clear facts and benefits
FAQ – Frequently Asked Questions
How does supply chain optimization support production planning?
Supply chain optimization brings customer demand, material availability and production capacity together in a coordinated plan. It also considers trade-offs between on-time delivery, inventory and capacity utilization. We analyze existing planning and control processes and develop suitable rules so that production orders can be scheduled economically and managed reliably in daily operations.
How can on-time delivery be improved in production?
Reliable on-time delivery requires realistic delivery dates, available materials and planning that accounts for actual capacity. We examine where delays occur and align material planning, production scheduling and shop floor control. Clear priorities and accurate production master data help identify potential delays early and address them effectively.
How can production lead times and work-in-process inventory be reduced?
Long production lead times often result from queues, missing materials or overloaded production stages. Coordinated order release and bottleneck-focused production control can help address these causes. We assess which rules suit your production environment so that fewer orders are in progress simultaneously and material flow becomes more stable.
What are the benefits of software-supported detailed production scheduling?
Software-supported detailed production scheduling helps schedule production orders while accounting for capacity, material availability and other constraints. Depending on the system, it can also consider changeover sequences or alternative resources. This improves visibility of bottlenecks and makes it easier to adjust the production schedule when requirements change or disruptions occur.
How can on-time delivery, capacity utilization and productivity be balanced?
Maximizing the utilization of every machine does not automatically improve overall production performance. What matters is how bottlenecks, order sequences and material flow interact. We compare different control approaches and assess their effects on on-time delivery, work-in-process inventory, lead times and productivity. This provides the basis for economically balanced production targets.
How does a digital twin support production optimization?
A digital twin models relevant production processes and control rules using your company’s data. It allows alternative order release rules, lot sizes or capacity allocations to be simulated before implementation. The results indicate their likely effects on lead times, inventory and delivery dates, helping identify suitable improvement measures.