Decrease production planning time by up to 50%

Significantly improve on-time delivery and lead times, and optimize the use of all production resources with AI-powered cognitive production planning.

About Kayros

Kayros is a production planning software which optimizes the use of all production resources with AI-powered cognitive production planning. Production planners, plant managers, and process engineers can use Kayros to minimize the time required for production planning and scheduling. Kayros can be integrated with all existing ERP and MES IT systems.

  • Unlock the superpowers of Kayros

  • Higher planning accuracy

    Kayros significantly improves planning forecasting by analyzing more dependencies and parameters than conventional production planning tools.

  • Greater production capacity

    Kayros uses production resources more effectively and avoids bottlenecks, allowing you to produce at much higher capacity.

  • Lower investment costs

    Kayros significantly reduces capital expenditures by optimizing resource consumption and minimizing waste.

  • Lower production costs

    Kayros automatically calculates the current optimal production plan so that you can make the best use of all production resources.

Features of Kayros

  • Kayros plans the entire order pool in the shortest possible time.

    Any capacity bottlenecks are identified well in advance and can be avoided effectively. This creates scope for decision-making and ensures that deadlines are met.

  • Kayros has its own language for modeling and describing machines and production networks

    With this flexibility, Kayros can model even the most diverse requirements of mechanical engineering.

  • Kayros always knows the exact structure of the production network.

    It records the transport routes and helps to minimize the transport of materials between machines.

  • Kayros automatically determines the most efficient production flow.

    It independently considers all possible production alternatives that meet the product's requirements and selects the most efficient one.

How Kayros works

Our production planning software can be integrated with any existing ERP and MES IT systems.

Read Kayros' latest success story

Improving on-time delivery in a complex production planning process

Vacom Vakuum Komponenten & Messtechnik GmbH is a vacuum specialist that produces many components to customer specifications. The 322-strong company operates worldwide and generates annual revenues of more than 35 million euros.

Improving on-time delivery in a complex production planning process

Vacom has 1,200 orders in constant circulation, each with up to 20 operations, two to three orders per machine per day, and a planning horizon of six months. The challenge was to resolve the conflicts between meeting all planned delivery dates and reducing overall costs (setup and lead times) while respecting certain constraints. In addition, manual planning was no longer feasible due to the high complexity of the production processes.

Improving on-time delivery in a complex production planning process

The solution was AI-based planning using MPDV's Fedra Advanced Planning and Scheduling System (APS), powered by Kayros. As an integrated part of MPDV's MES system, Kayros calculated a production plan with 28,000 steps on 700 machines on a standard PC in less than 60 minutes.

Improving on-time delivery in a complex production planning process

With the help of Kayros, Vacom is able to identify and avoid capacity bottlenecks in advance. The total time saved in production planning with AI-based planning is around 50% compared to manual planning. This has increased Vacom's production output by at least 10%.

“The Smart Factory approach has enabled us to increase production by 25 percent. At least 10 percent of this performance increase is due to better production planning with Kayros!”

Kevin Mahler

Chief Operating Officer, Vacom

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Decrease production planning time by up to 50%

Significantly improve on-time delivery and lead times, and optimize the use of all production resources with AI-powered cognitive production planning.

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