- AI planning made easy: Our solutions can be seamlessly integrated into your existing MES, PPS, or APS software. They deliver optimised and traceable planning results – without the need for in-house AI development. AI becomes a 24/7 sparring partner that provides continuous support and relief.AI becomes a 24/7 partner, providing continuous support and taking pressure off your teams.
- Making complexity managable: Many combinatorial problems in production planning are too complex for traditional methods. With our approaches, even highly complex scenarios can be solved efficiently – automatically and in the shortest possible time.
- Numbers instead of gut feeling: Mathematical optimisation delivers reliable decisions: greater adherence to deadlines, shorter set-up times, optimal warehouse utilisation, and more. This not only leads to faster results, but also to demonstrably better ones.
Our solutions in action
Detailed planning
Resource allocation
From rough-cut planning to detailed scheduling
Interested in one of our optimization solutions, or dealing with a different planning challenge?
Let’s talk and explore together what approach best fits your needs.
Easy Integration
AI …
- Mathematical Optimization: Methods such as constraint programming and integer programming deliver exact, traceable solutions – ideal for structured planning problems with clear constraints.
- Metaheuristics: Methods such as simulated annealing efficiently traverse large search spaces and offer a flexible alternative when classical methods reach their limits.
- Machine Learning: Algorithms that learn from data, adapt and dynamically make better decisions. Complements mathematical optimisation methods with intelligent, data-driven support.
… as-a-Service
Our solutions can be easily integrated into your planning module – all you need to do is set up the interface. No complex project, no extensive adjustments.
- Input: Your planning data – e.g. orders, resources, set-up times – is transferred to our AI via a REST API. The call can be integrated directly into your existing software.
- Optimization: The AI processes the data and calculates an optimised solution – quickly, reliably and transparently. Complex interdependencies are automatically taken into account.
- Output: The result is an optimised production plan that is returned via the API – ready for display, further processing or transfer to downstream systems.
Extensive expertise
Scientifically based
From 2017 to early 2025, our Christian Doppler Laboratory was based at the Institute for Logic and Computation at TU Vienna. Together with Bosch and Ximes, we conducted basic research there on new algorithms and the use of AI in production planning.Since 2024, we have been funding a doctoral position at the Doctoral College iCAIML – thus remaining closely connected to research in areas such as hyperheuristics and automated algorithm selection.
Together with the Karlsruhe Institute of Technology (KIT), we are researching methods for making industrial processes more energy-flexible. The aim is to develop AI-supported methods that make energy-intensive production more grid-friendly and sustainable. This collaboration combines our many years of expertise in APS with KIT’s cutting-edge research in the field of energy system design. As an implementation partner, we translate research results into industrial practice – for sustainable production.
Selected Research Areas
Stochastic modeling Capacity Planning
Selected Research Areas:
Human Factors Industry 4.0 Decision Analysis Project Management
Tried and tested
Thanks to our many years of experience from numerous industrial projects, we know exactly what matters in production planning.We are familiar with the specific requirements and typical challenges of many industries, from mixed feed production to the food industry, from cosmetics and pharmaceuticals to electronics manufacturing.Our solutions are proven, robust and flexible enough to deliver real added value in complex production environments as well as in software products for these industries.
Successful Software Integrations
Optwisier A.I. Solutions’ modern supply chain planning software relies on optimisation algorithms from MCP.Our solution enables automated detailed planning specifically for the food industry, including multi-stage processes that take setup times and intermediate storage capacities into account.
Our optimization technology integrates seamlessly with Siemens Opcenter APS.Whether for detailed planning or resource allocation, complex planning problems are solved directly in the existing system—efficiently and flexibly, with minimal effort for the user.
The Employee Resource Assignment algorithm is used in MCP Workforce Management.This ensures that the right people are in the right place at the right time—which not only increases efficiency but also improves adherence to deadlines and utilisation.
GRÜN GQM uses MCP's AI-as-a-Service in its established MES software for the food and beverage industry.
Automatic line sequence optimization enables planners to improve existing schedules at the click of a button—resulting in shorter setup times and improved on-time delivery.For end customers, this means increased capacity in both production and planning.
Frequently Asked Questions about AI‑as‑a‑Service
AI‑as‑a‑Service is particularly worthwhile when existing planning systems no longer deliver stable or economically optimal results. This is typically the case when:
- production plans require frequent manual adjustments
- bottlenecks and conflicting objectives cannot be resolved systematically
- existing APS solutions or rule‑based approaches reach their limits under high complexity
> In these situations, AI‑based optimization enables significant improvements in on‑time delivery, resource utilization, and planning stability.
If these challenges currently exist, a structured potential assessment is the most sensible next step.
AI‑as‑a‑Service is well suited for complex planning problems with many dependencies, constraints, and conflicting objectives. Typical use cases include:
- Production scheduling / detailed production planning
- Setup time optimization
- Resource allocation (machines, tools, personnel)
- Production leveling and batch optimization
Wherever classical planning logic reaches its limits, AI‑based optimization opens up entirely new solution spaces.
Classical heuristic rules make planning decisions step by step and on a local basis.
AI‑based optimization, by contrast, evaluates the entire planning scenario at once and systematically accounts for interactions between resources, schedules, and constraints. The result:
- more stable production plans
- better resource utilization
- reduced conflicts between objectives
- higher overall economic quality of planning
Your Next Step Toward Optimized Production Planning with AI
In a structured discussion, we’ll analyze your planning challenges and show you how optimization algorithms can specifically enhance your existing systems and deliver measurable improvements.