Scheduling Automotive ECU Production

Automatic Scheduling for Complete Process Synchronization

An ECU must go through many processes to become a finished item—printing, assembly, reflow, cleaning, chip mounting, wire bonding, curing, inspect/test. Pre-assembly lines need to be synchronized so that final assembly can start without waiting for component parts. An ECU manufacturer must focus on a short delivery timeline to meet the demands of auto manufacturers who practice Just-in-Time manufacturing.

Asprova plays an essential role in synchronizing all production processes and other factors for maximum efficiency in production flow while keeping minimum inventory stocks.

  • High level of process synchronization
  • Minimized lead times and inventory stock
  • Flawless delivery reliability
  • Drastic reduction in time and effort needed for planning

Challenges

To stay competitive in your industry, you need to be able to produce schedules that can keep factory resources running at a high yield rate, even while there may be different configurations or demands for your final product. Asprova can create an optimized sequence for each resource that looks at material availability and delivery, changeover times, and other constraints to minimize downtime and increase resource utilization.

Buildup of work-in-process inventory is a challenge as it results in time wasted finding the right components or stacking and moving pallets to separate locations on the factory floor. Asprova can be configured to look at the processes causing this buildup and reduce the need for semi-finished inventory.

With Asprova APS

  • Decreased delivery time
  • Complete process synchronization through optimal, sequential planning
  • Drastic reduction in production lead time thanks to bottleneck-oriented planning
  • Massively reduced intermediate parts
  • Increased resource efficiency through optimal, sequential scheduling
  • Improved transparency in factory and order status
  • Greater flexibility in the case of order changes, rush orders, machine failure, etc.
  • Substantial reduction in planning efforts