A cross-organization business process collaborative modeling and data-driven execution method based on a digital main line
By integrating a unified digital model and authoritative source of truth into cross-organizational business process collaborative modeling and data-driven execution methods based on a digital thread, and defining mutually exclusive data states and event-driven mechanisms, the problems of non-value-added waiting and inconsistent data versions in traditional collaborative paradigms are solved, thereby improving process parallelism and resource utilization efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TONGJI UNIV
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
In complex product development scenarios involving cross-organizational and cross-professional collaboration, traditional business collaboration paradigms rely on the transmission of phased data snapshots and point-to-point customized interfaces, resulting in non-value-added waiting time, inconsistent data versions, resource competition, and low collaboration efficiency, making it difficult to achieve process continuity and collaboration efficiency.
By integrating a unified digital model and authoritative source of truth through cross-organizational business process collaborative modeling and data-driven execution methods based on a digital thread, we define mutually exclusive data states and event-driven mechanisms to enable event-driven activity triggering of data state changes, eliminate rigid time sequence barriers, and improve process parallelism and resource utilization efficiency.
It enables data state change event-driven activity triggering, allowing downstream activities to start without waiting for upstream activities to finish completely. This eliminates non-value-added waiting time, improves process parallelism and resource utilization efficiency, avoids data version chaos and interface maintenance complexity, and ensures data consistency and the feasibility of the collaboration mechanism.
Smart Images
Figure CN122414945A_ABST