Domain Agnostic Operational Planning System

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Solution Overview

Problem

Current operational planning systems lack a domain-independent standard paradigm or design, leading to sharded implementations and duplicated efforts across different domains.

Innovation Solution

A domain-agnostic operational planning system (OPS) that includes non-customizable modules for resource and task management, along with customizable plugins adaptable to specific task domains, to optimize resource assignment for task completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If operational planning systems are developed from scratch and specific to each domain, then domain-specific requirements are met, but implementation complexity increases and duplicated efforts occur across domains

Engineering Contradiction:
Improvedomain-specific adaptabilityVSAvoidsystem implementation complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal operational planning system framework that can serve multiple domains (military, commercial, logistics, etc.) through a common architecture. The system provides domain-agnostic resource and task management functionalities that can be adapted to different domains without requiring separate system implementations, thereby reducing complexity while maintaining domain-specific adaptability through configurable parameters and plugins.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If domain-specific operational planning systems are implemented independently, then domain requirements are satisfied, but resource duplication and sharded implementations occur

Engineering Contradiction:
Improvedomain requirement satisfactionVSAvoidsystem resource duplication
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent merges previously separate domain-specific operational planning systems into a single unified framework. By combining resource management, task management, and assignment optimization functionalities into one system that can be configured for different domains, the patent eliminates redundant implementations across military, commercial, and other sectors, thereby reducing resource duplication while maintaining the ability to satisfy domain-specific requirements.

Inventive Principle:
Principle #5Merging (Combining)

3Productivity

If a standardized operational planning framework is implemented, then duplicated efforts are reduced and efficiency improves, but flexibility for domain-specific customization may be limited

Engineering Contradiction:
Improvesystem development efficiencyVSAvoiddomain-specific customization flexibility
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent segments the operational planning system into modular components including resource management modules, task management modules, and assignment optimization modules that can be independently configured and adapted. This segmentation allows the standardized framework to maintain high development efficiency while enabling domain-specific customization through selective configuration of modules and parameters, thereby resolving the contradiction between standardization and flexibility.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20250060989A1Domain agnostic operational planning system and method
Publication Date: 2025.02.20 ROCKWELL COLLINS INC
  • US20250060989A1 patent drawing
  • US20250060989A1 patent drawing
  • US20250060989A1 patent drawing

AI summary

An operational planning system and method for optimal assignment of resources to the completion of tasks includes a combination of software modules and customizable plugins. A resource manager assesses known resources to determine which resources are assignable to a set of tasks to be completed, and a task manager determines which tasks are available for completion and prioritizes the valid tasks by resolving task dependencies. Customizable plugins determine cost factors for assigning each valid resource to each valid task, whether valid resources should continue their current task assignments and receive new assignments. Based on the assignment cost data, the customizable plugins ultimately determine an optimal assignment of valid resources to valid tasks (e.g., optimal in the sense of lowest cost and/or other desirable factors).