Multi-Domain Operational Planning Tree Structure
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Solution Overview
Problem
Coordinating and assigning tasks across multiple domains (e.g., air, land, sea, space, cyber) in operational planning for large organizations is challenging due to the need for extensive manual communication and resource-intensive processes, which are error-prone and inefficient.
Innovation Solution
A computing machine with processing circuitry and memory stores a tree structure representing a hierarchical organization, generating activities for a multi-domain operational plan, determining feasible domain nodes, assigning tasks, and managing activity completion or failures through automated communication and task reassignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual communication and coordination methods are used for multi-domain operational planning, then flexibility and human judgment are maintained, but the process becomes resource-intensive, error-prone, and inefficient
Solution Approach 1:
The patent replaces manual communication and coordination mechanisms with an automated computer-based system. The processing circuitry automatically generates activities, determines feasible domain nodes, assigns tasks, and tracks completion status, eliminating the need for manual back-and-forth communication while maintaining coordination capabilities across multiple domains.
Solution Approach 2:
The system enables domain nodes to autonomously evaluate their own availability and capability to perform activities. Each domain node can independently determine whether it can execute assigned tasks based on its current state and resources, reducing the need for external coordination overhead while ensuring accurate task allocation.
2Ease of operation
If automated task assignment systems are implemented across multiple domains, then coordination efficiency improves, but the system complexity and communication requirements increase
Solution Approach 1:
The patent divides the operational planning system into hierarchical domain nodes, each responsible for specific domains (e.g., air, land, sea, space, cyber). This segmentation allows the complex multi-domain coordination problem to be broken down into manageable sub-problems, where each domain node independently evaluates and executes tasks within its scope while receiving high-level guidance from the command node.
Solution Approach 2:
The command node serves as an intermediary between the operational plan requirements and the various domain nodes. It generates activities, determines feasible domain nodes based on acknowledgments and capabilities, and assigns tasks appropriately, simplifying the interaction model between different domains while maintaining centralized coordination control.
3Loss of time
If extensive manual communication is used to coordinate activities across domains, then adaptability to changing conditions is maintained, but the process consumes excessive time and resources
Solution Approach 1:
The system performs preliminary actions by having domain nodes send acknowledgments of availability in advance. The command node uses these pre-submitted capability statements to determine feasible domain nodes for each activity before task assignment, eliminating the need for time-consuming back-and-forth communication during actual task allocation and enabling faster decision-making.
Data Source
AI summary
A computing machine stores a tree structure representing a hierarchical organization. The tree structure comprises a command node and a plurality of domain nodes below the command node. The computing machine leverages the tree structure to generate a multi-domain operational plan.