Socio-Technical Decision Modeling for Irregular Operations Response

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Solution Overview

Problem

Operations control centers lack an efficient and accurate mechanism to simulate complex decision processes involving multiple human behavioral inputs and technical system inputs, particularly during irregular operations, leading to inadequate consideration of the impact on agents and systems.

Innovation Solution

A method and system that simulate human decision processes using behavior models and goal models for agents, combined with system decision processes using sequential error search methods to generate a socio-technical decision, which is then implemented to address adverse effects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a traditional decision-making process is used in operations control centers, then the decision-making speed is fast, but the accuracy and completeness of considering human and system impacts is insufficient

Engineering Contradiction:
Improvedecision accuracyVSAvoiddecision time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary simulation of decision outcomes before actual implementation. By using behavior models and goal models to predict how agents and systems will respond to potential decisions, the system evaluates multiple scenarios in advance, allowing for more accurate decision-making without significant time loss during actual operations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates virtual copies of the operations control environment through computational models that replicate human agent behaviors and system responses. These digital twins allow for accurate testing and evaluation of decisions in a simulated environment before implementation, improving decision accuracy while maintaining rapid response times.

Inventive Principle:
Principle #26Copying

2Reliability

If multiple solutions are evaluated considering all agent and system impacts, then the decision quality improves, but the computational complexity increases

Engineering Contradiction:
Improvedecision reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system divides the complex evaluation process into separate modular components: behavior models for individual agents, goal models for system objectives, and sequential error search algorithms. Each component handles a specific aspect of the decision evaluation, making the overall complex system manageable and maintainable while still providing comprehensive analysis.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts evaluation parameters and model complexity based on the specific situation and available computational resources. By changing parameters such as the number of agents simulated, the depth of search, and the detail of behavior models, the system can balance decision reliability with computational feasibility for different operational contexts.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If a comprehensive socio-technical decision process is implemented, then the consideration of human and system impacts is improved, but the ease of operation decreases

Engineering Contradiction:
Improveimpact assessment accuracyVSAvoidsystem usability
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically performs the complex socio-technical analysis without requiring manual intervention from operators. The behavior models and goal models autonomously simulate agent responses and system impacts, generating comprehensive impact assessments that would be difficult for human operators to produce manually, thereby maintaining high accuracy while preserving ease of use.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12468967B2Method and system for generating a socio-technical decision in response to an event
Publication Date: 2025.11.11 THE BOEING CO
  • US12468967B2 patent drawing
  • US12468967B2 patent drawing
  • US12468967B2 patent drawing

AI summary

A method includes receiving, by a processing circuit, a plurality of solutions to avoid or decrease an adverse effect caused by an event. The method also includes selecting, by the processing circuit, a selected solution from the plurality of solutions by performing a socio-technical decision process. The socio-technical decision process includes simulating a human decision using a behavior model and a goal model for each of a plurality of agents and simulating a system decision using a sequential error search method for each of a plurality of systems. The socio-technical decision process also includes generating a socio-technical decision using the human decisions and the system decisions. The socio-technical decision corresponds to the selected solution. The method further includes facilitating a performance of one or more actions to implement the socio-technical decision.