- Solutions
- Company
Significantly improve on-time delivery and lead times, and optimize the use of all production resources with Kayros AI-powered cognitive production planning.
At the heart of any smart factory is a production planning and scheduling engine that drives efficiency, flexibility, and cost-effectiveness. However, not just any algorithm will suffice; to maximize production, a high-performance, agile, and advanced planning engine is essential.
Kayros is a cutting-edge production planning engine that leverages AI-powered cognitive planning to optimize the use of all production resources. By streamlining production routes, minimizing costs, maximizing on-time delivery, and adhering to various technical requirements, Kayros goes beyond mere planning and scheduling.
While superior AI drives exceptional scheduling and planning, production-ready scheduling demands meticulous precision. Kayros excels in this area by combining extraordinary planning performance with an unparalleled focus on detail.
Automatically creating & maintaining digital production twins just from MES/ERP accounting data
Simulate whether a specific order pool can be produced with the available production capacity and determine the total time for production and the estimated costs.
The great speed of Kayros allows for dynamic production planning, maintaining an always up-to-date production plan with respect to the latest changes.
Our production planning software can be integrated with any existing ERP and MES IT systems.
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.
With this flexibility, Kayros can model even the most diverse requirements of mechanical engineering.
It records the transport routes and helps to minimize the transport of materials between machines.
It independently considers all possible production alternatives that meet the product's requirements and selects the most efficient one.
While superior AI drives exceptional scheduling and planning, production-ready scheduling demands meticulous precision. Kayros excels in this area by combining extraordinary planning performance with an unparalleled focus on detail.
Distributing production orders across the whole available production network
Identification of the most appropriate route per product through the production network
Ensuring that special tools are available in the right place at the required time
Identification of the most efficient production routes across machines, halls and sites
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.
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.
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.
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%.
While superior AI drives exceptional scheduling and planning, production-ready scheduling demands meticulous precision. Kayros excels in this area by combining extraordinary planning performance with an unparalleled focus on detail.
Each job starts with a setup, the cost and duration of which depends on the previous job on the machine.
Duration and costs for a job can vary from machine to machine.
Pre-defined slots for maintenance and break times.
Some jobs may only start when another job is finished
Taking skill-sets of specialists into account for special tasks
A job can only start, if the material it consumes is available. Also, it produces new materials potentially for other jobs.
