VT-APS (VT-Advanced Planning and Scheduling)

1 review

VT-APS advanced planning and scheduling system based on cutting-edge artificial intelligence algorithm to achieve multi-objective optimization engine, filling the domestic APS no core technology (some imported algorithms), our product optimization core technology closely follows the advanced algorithm, to ensure the competitive advantage of the product. VT-APS provides a stronger heart for manufacturing companies - optimized production planning, so that enterprise APS is no longer inapplicable. The system provides a total of 40 planning and scheduling target functions in 13 categories, allowing customers to arbitrarily combine multiple scheduling targets according to their own needs and adapt to diversified scheduling needs. VT-APS solves one of the problems that ERP cannot solve the production scheduling (Production Scheduling), using APS's production scheduling based on resource capacity, constraint theory, time and material-based theory, and the work of the system is to solve the problems that ERP and MRP cannot solve. Inaccurate planning, i.e. rough plans without accurate time, place, quantity. ERP production scheduling is generated based on the master production plan, forecasts and orders. Production Scheduling-Discrete is theoretically order-driven.

VT-DYAPS

0 reviews

VT-DYAPS automatic scheduling/multi-objective optimization of dyeing tanks that 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