Supply and demand optimization matching method and framework
A matching method and technology of supply and demand, applied in other database retrieval, calculation models, prediction and other directions, can solve problems such as low efficiency, limited supply and demand matching and optimization methods, lack of unified description structure, etc., to increase efficiency and facilitate parallel matching and optimization. Effect
Inactive Publication Date: 2020-06-02
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology
Today's smart cloud manufacturing industry has problems such as scattered manufacturing resources, various types of resources, and lack of a unified description framework.
These problems have greatly hindered the development of smart cloud manufacturing and limited the implementation of effective supply-demand matching and optimization methods
[0003] However, the existing technology is difficult to adapt to large-scale supply and demand matching scenarios, and the efficiency is low, and only simple supply and demand matching is performed, and the matching effect is not evaluated
Method used
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[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0040] Such as figure 1 As shown, the present invention discloses a supply-demand optimization matching method and framework. The supply-demand optimization matching method includes the following steps:
[0041] Step 1. Use the supply and demand data structure conversion module in the supply and demand instance structured layer to convert the original supply and demand data in the original supply and demand instance pool into the supply and demand data of the graph structure, and store it in the structured supply and demand data instance pool;
[0042] Step 2. Use the supply and demand instance classification module in the task divide and conquer layer to classify the structured supply and demand data in the structured supply and demand data instance ...
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The invention provides a supply and demand optimization matching method and frame. The method comprises a supply and demand instance structuralization layer which is used for defining supply and demand data, converting task data, and converting service data; the task divide-and-conquer layer is used for dividing and conquer tasks by classifying and sampling supply and demand instances and recombining an adaptation domain; and the supply and demand matching and optimizing layer finds a better supply and demand combination on the basis of the matched supply and demand through reinforcement learning, and shares training parameters in different divide-and-conquer optimization tasks so as to accelerate the whole optimization process. According to the method, the internal relation between the service and the task is considered from a more macroscopic perspective, and a basis can be provided for divide-and-conquer of the task, so that large-scale supply and demand matching and optimization are realized, parallel matching and optimization can be more conveniently carried out, and the matching and optimization efficiency is greatly improved.
Description
Technical field [0001] The invention relates to a method and a framework for optimal matching of supply and demand, and belongs to the field of smart manufacturing. Background technique [0002] The supply-demand matching and optimal configuration of manufacturing resources and manufacturing capabilities have always been key issues that various advanced manufacturing systems (AdvancedManufacturing Systems, AMSs) need to solve. Today's smart cloud manufacturing industry has problems such as scattered manufacturing resources, various types of resources, and lack of a unified description structure. These problems have greatly hindered the development of smart cloud manufacturing and restricted the implementation of effective supply-demand matching and optimization methods. [0003] However, the prior art is difficult to adapt to large-scale supply and demand matching scenarios, and is inefficient, and only simple supply and demand matching is performed, and the matching effect is not...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06F16/901G06F16/906G06N20/00
CPCG06F16/9024G06F16/906G06N20/00G06Q10/04G06Q10/06315G06Q50/04Y02P90/30
Inventor 孙雁飞乔峰亓晋许斌
Owner NANJING UNIV OF POSTS & TELECOMM