Critical Event Object Dependency Structuring for Project Risk Reduction
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Solution Overview
Problem
Complex projects often fail due to difficulties in understanding and evaluating priorities, risks, and dependencies, leading to insufficient resource allocation and poor communication between stakeholders, resulting in high failure probabilities that can have detrimental economic impacts.
Innovation Solution
A system and method for reducing project failure probability through the generation, evaluation, and dependency structuring of critical event objects, utilizing an orchestration server that initiates sessions, generates failure event objects, assesses risks, and assigns responsibilities, while also employing machine learning for predictive modeling and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional project management tools are used to track and evaluate project aspects, then basic project monitoring is achieved, but the system cannot effectively reduce project failure probability due to insufficient insight into critical events and their dependencies
Solution Approach 1:
The patent segments project risks into discrete critical event objects, each representing a specific failure criterion. These objects are independently evaluated and structured in dependency hierarchies, allowing the system to manage complexity by breaking down overall project risk into manageable, analyzable units rather than treating project monitoring as a monolithic process
Solution Approach 2:
The patent introduces critical event objects as intermediary entities between project activities and failure outcomes. These objects serve as mediators that capture, structure, and evaluate risk information, enabling the system to bridge the gap between raw project data and actionable risk insights without requiring direct complex analysis of all project elements
2Reliability
If comprehensive risk evaluation is performed on all project components, then project failure probability can be reduced, but resource allocation becomes inefficient as less important components receive excessive resources
Solution Approach 1:
The patent applies local quality by evaluating and structuring critical event objects with different priority levels and dependency relationships. Resources are allocated based on the specific characteristics, risk levels, and dependency positions of individual critical events rather than uniformly across all project components, ensuring that high-risk areas receive appropriate attention while lower-risk areas consume fewer resources
Solution Approach 2:
The patent changes the parameter of risk evaluation from a uniform approach to a differentiated approach based on critical event properties. By assigning different weights, priorities, and dependency levels to various critical event objects, the system dynamically adjusts resource allocation parameters to match actual risk distribution, improving both reliability and resource efficiency
3Loss of information
If critical risks are identified through post-mortem analysis, then understanding of failure causes is improved, but the ability to prevent failure upfront is lost as risks are only identified after failure occurs
Solution Approach 1:
The patent implements preliminary action by structuring critical event objects and their dependencies before project execution. The system evaluates risk criteria and establishes dependency hierarchies in advance, enabling proactive identification and mitigation of potential failures before they occur, rather than relying on reactive post-mortem analysis
Solution Approach 2:
The patent establishes feedback mechanisms where critical event objects continuously monitor and evaluate project risk status. The system provides ongoing feedback about potential failures and their dependencies, allowing stakeholders to adjust project course and allocate resources dynamically based on real-time risk assessment rather than waiting for failure to occur
4Measurement precision
If detailed tracking of project priorities and dependencies is implemented, then project evaluation accuracy is improved, but communication and coordination between stakeholders become more difficult due to system complexity
Solution Approach 1:
The patent creates simplified representations (copies) of complex project dependencies through critical event objects and their hierarchical structures. These objects serve as manageable models that capture essential risk relationships without requiring stakeholders to navigate the full complexity of underlying project details, making communication and coordination more accessible while maintaining evaluation accuracy
Data Source
AI summary
Disclosed is a method, a device, a system and/or a manufacture of reducing project failure probability through generation, evaluation, and/or dependency structuring of a critical event object. In one embodiment, a system for building a failure dependency hierarchy includes an orchestration server and a network. The orchestration server initiates a session and provisions computing resources. An object generation routine receives a failure event criterion. An object initiation routine then generates a failure event object associated with the failure event criterion. A risk assessment routine generates a risk value by inputting a probability data and an impact data into a risk assessment function. A dependency routine stores in a referential attribute a unique identifier of a second failure event object to define a failure dependency. A user assignment routine associates the unique identifier of a user profile with the failure event object to assign responsibility for preventing the failure event.