Challenges in manufacturing
Manufacturing consists of numerous connected operations. The progressively growing complexity of products and processes is difficult to address with existing approaches.
Long delivery of Raw material
Overflow of information and alerts
Inefficient information transfer
Discrepancy between planning Theory and shop-floor reality
Dependency on Individuals
Inaccurate demand forecasts
GPS for manufacturing
QLECTOR LEAP helps to guide production processes in the same way as GPS supports your road trip.
QLECTOR LEAP uses historical data and artificial intelligence to forecast production and suggest optimal measures when unplanned events occur.
1 Day/Week Saved Time
Save 1 day per week to planners and team coordinators.
3 Day Forecast
Prepare for organisational downtime 3 days ahead.
25% Less Downtimes
Reduce downtime by reacting to downtime faster and preparing for future events.
Qlector LEAP automatically creates micro plan based on SAP PP ideal plan and the reality from the shop floor. In contrast to the old process, notification on changes are automatically passed to the team coordinators.
I spent two hours per day on gathering and combining information from three different IT systems and phone calls to conceive a micro plan and to prepare my team for the next work order.
The Industry 4.0 concept is hardly covered in practice. The last three pillars cannot be enabled by existing methods and technologies. To increase value, new tools are needed. Learn why artificial intelligence is the right tool.
- 700 employees
- 200 lines
- 6 remote production sites
- 2000 products
- SAP, Sinapro (MES)
- Time lost manually creating and updating production plans and schedules
- Time lost fine-tuning schedule via phone, email
- Knowledge locked within planner and team coordinator
- More and longer downtimes due to slower response to unplanned events
- 1 day/week time savings for planners and team coordinators
- On-time preparation for tool changes
- 5% OEE increase
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