To schedule orders in optimal sequence, alloy type, furnace temperature, and ingot mold availability need to be considered. The objective is to maximize output while minimizing deliver time.

A major challenge is synchronizing make-to-order processes with batch production processes.

Optimizing production sequences on the basis of item attributes (size, brand, color..), defining relevance for each production resource…
  Simultaneously considering availability of additional resources as a constraint (tools, materials, operators).


Typical planning and scheduling challenges that and APS help to fix in forgiging ceramics industry are:

  • Synchronizing the Melting Process with the Mold Provision Process
  • Consideration of Varying Furnace Capacities (Lot Sizes)
  • Consideration of Secondary Metallurgy, Including Transfer Pans and Molds
  • Consideration of Lock-Downs of Transfer Pans from Tapping and Refilling through Secondary Matallurgy until Casting
  • Short Throughput Time after Tapping in order to Prevent Cooldown
  • Limited Buffer Distance on the Casting Plant
  • Timely Provision of Models, Cores, and Forms with Limited Resource Capacity
  • Minimize Scheduling Efforts
  • Prioritized Routes and Resources
  • Increased Flexibility
  • Improved Deliver Reliability
  • Optimal Lot Sizes
  • Shorter Deliver Times
  • Worker Scheduling
  • Consideration of Alternative Routes
  • Preferred Routes and Resources
  • Bottleneck Scheduling
  • Optimal Furnace Loading
  • Minimal Planning Efforts
  • Shorter Delivery Times
  • Improved Delivery Reliability
  • Drastic Reduction in Lead Time and WIP
  • Complete Synchronization of All Processes through Optimal, Sequential Scheduling under Consideration of all Restrictions
  • Improved Resource Efficiency Through Optimal Scheduling
  • High Transparency in Factory and Delivery Status
  • Flexibility in the Case of Order Changes, Rush Orders, Machine Failure, etc.
  • Drastic Reduction in Planning Efforts
  • Wholistic Process Synchronization through Optimal, Sequential Scheduling
  • Drastically Shortened Production Lead Times through Bottleneck Oriented Planning
  • Massive Reduction in Intermediate Parts
  • Synchronization of all Processes through Optimal Sequencing and Consideration of all Restrictions
  • 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