Advanced optimization engine and modeling solves four major problems, the first leader to truly solve the most complex four intelligent scheduling problems with artificial intelligence.
1. UPMSPMP( Unrelated parallel machine scheduling problem with multiple operations)
The processing time of the same product depends on the matching degree ofthe order and the machine, and the processing efficiency of different machinesis different, so it will be irrelevant to the parallel machine schedulingproblem
2. SDST(Multiple operations andsequence-dependent setup times)
Switching between different products and different processes sometimes results in dynamic preparation time costs. In order to reduce the preparation cost and reduce the difference between batches, it is required to arrange continuous production of products with the same process parameters as much as possible to reduce the replacement cost.
3. Multi-resource automatic (multi-select, one-select)
selection Processing process: Alternative multi-resource (machine) automaticoptimal selection Any resource processing process alternative multi-resource (machine)automatically optimally selects multi-resource parallel processing
4. Support multi-plant scheduling
Multi-processing plants can jointly schedule complementary production capacity, maximize OEE, and optimize delivery
Updated at Wednesday, 2023-07-12 22:50:28