You want to organise your production and manufacturing planning as efficiently as possible to ensure a successful long-term business performance? Do you want to bring your production orders into an optimal order to ensure better capacity utilisation of your plants? Little FunFact: The production of just 10 products results in 3.6 million possible orders. Add in supply bottlenecks, short-term loss of production capacity, increasing delivery pressure and unplanned staff shortages and you can easily lose track of things.
Want to get rid of your planning and scheduling headaches? Stop wasting time manually updating Excel spreadsheets and start using our intelligent production planning software s.optimization.
Our software solution s.optimization
Our production planning solution s.optimization has been specifically designed to master the complexity of the modern manufacturing industry using data science. Our holistic approach and methods help our customers optimise their production processes, reduce costs and increase productivity.
s.optimization ensures intelligent sequencing of jobs and production orders and uses artificial intelligence to support complex production planning and scheduling. What used to take hours of manual planning in spreadsheets is now done within in minutes. The software can be used across various industries and guarantees reliable planning of complex Industry 4.0 processes even in the long term. This permits a more efficient cost reduction, optimal use of resources and improved competitiveness. As a real alternative to manual production planning, s.optimization helps you as a manufacturing company to face the future with confidence.
the algorithm library of s.optimization
Using data science, relevant influencing variables called constraints are identified from data sources such as historical production data and master data. But they are also identified in direct dialogue with planners. What’s unique is the combination of AI-based estimators for order-specific process parameters — also called ‘feature importance’ (e.g. setup times) — and powerful optimisers to take into account individual conditions — the ‘constraint satisfaction problem’ (e.g. material or plant availability). This is how we have successfully linked machine learning with powerful optimisation algorithms. The combination of AI and these very algorithms opens up new possibilities for automation and digitalisation of production processes.
s.optimization takes into account various factors and dependencies in production planning:
In the first step, select a suitable scheduling strategy from the drop-down menu which reflects the desired planning period as well as your individual production process parameters.
In the second step, select the machines for which you want to create a plan.
In the third step, select the orders to be planned.
In the fourth step, an optimal plan is presented in an easy-to-follow Gantt chart. Colours, tooltips and key figures can be configured individually.
In the final step, your custom plan is transferred to your system (e.g. ERP or PPS).
- order data
- production data
- shift schedules
- material availablity
- relationship data
- work plans
- production process
- ERP data (e.g. SAP)
OUR SOLUTION FOR COMPLEX PRODUCTION PLANNING:
- production planning within minutes, in near real-time and for multiple locations with different infrastructures
- optimal clustering of orders to ensure economic utilisation of production lines
- flexible prioritisation of orders
- ad hoc rescheduling possible
- measurement of crucial KPIs such as setup times etc.
- scenario simulation possibilities
- intelligent and reliable production planning
- ready-made solution and user-defined programming interface (API) for export to other systems, including SAP
- consistent quality level of planning (even if planner is absent)