一种基于大数据的纺织服装外贸订单智能匹配系统
By breaking down orders into task units through the order decomposition and behavior entropy calculation modules, and combining resource tension field and matching potential energy calculation, the supplier matching problem of different processes in foreign trade orders is solved, realizing the rational allocation of orders and efficiency improvement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XINJIANG KUNLUN TEXTILE & GARMENT CO LTD
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, foreign trade orders are processed as a whole, making it impossible to break down the different processes within an order into fine-grained steps. This makes it difficult to match supplier capabilities with production capacity, resulting in unreasonable order allocation.
The order decomposition module breaks down orders into multiple task units, establishes process relationships and time constraints between task units, and uses the behavior entropy calculation module to generate entropy indicators of supplier performance behavior, constructs a resource tension field and calculates matching potential energy to achieve collaborative allocation among multiple suppliers.
It enables fine-grained order allocation, matching the process capabilities and production capacity of different suppliers, thereby improving the rationality and efficiency of order allocation.
Smart Images
Figure CN122414697A_ABST