Advanced optimization engine + modeling solves four major problems
Advanced optimization engine + 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 of the order and the machine, and the processing efficiency of different machines is different, so it will be irrelevant to the parallel machine scheduling problem
2. SDST(Multiple operations and sequence-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) automatic optimal 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
VT-APS project benefits
1. Improve planned scheduling
1) High efficiency, few personnel
2) Fast response to exceptions
3) Comprehensively optimize various scheduling indicators
4) Solidify the scheduling logic and reduce the impact of personnel changes
2. Improve supply chains
1) Enhance material requirements transparency in conjunction with production planning
2) Reduce warehousing and supplier inventory
3) Improve the timeliness and accuracy of material distribution
4) Reduce raw material losses
3. Improve production management
1) Increase productivity
2) Respond quickly to in-plant exceptions
3) Shorten finished goods inventory cycles
4. Improve customer service
1) Precise delivery promises
2) Quickly reflect customer changes
3) Increase supply capacity
4) Improve customer satisfaction
