Automated Component Substitution via System Tree Analysis

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Solution Overview

Problem

Manufacturers face challenges in making informed decisions about component substitution in product design due to the complexity of considering various factors beyond environmental impact, such as durability, customer satisfaction, and cost, which existing databases fail to analyze effectively.

Innovation Solution

A system and method for automated large-scale data analysis using a computer-readable storage to create and compare system trees, allowing for component substitution based on a knowledge base of information, including price, environmental impact, and customer satisfaction, to meet multiple considerations without developing new components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manufacturers use existing LCA databases to assess environmental impact, then environmental impact data is available, but the databases provide no analysis to support business decisions

Engineering Contradiction:
Improvedata analysis capabilityVSAvoiddecision-making efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent introduces an intermediary system that sits between the LCA database and the manufacturer. This intermediary performs automated analysis of the database contents, translating raw environmental impact data into actionable business intelligence that directly supports component substitution decisions.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual analysis of LCA database data with an automated computational system. The system automatically processes environmental impact data, compares alternatives, and generates business recommendations, eliminating the need for manual data interpretation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manufacturers consider multiple factors (environmental impact, cost, durability, customer satisfaction) in component selection, then decision quality improves, but the complexity of data analysis increases

Engineering Contradiction:
Improvedecision qualityVSAvoiddata analysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple data sources and analysis functions into a single integrated system. It combines environmental impact data, cost information, durability metrics, and customer satisfaction data into one unified analysis platform that simultaneously evaluates all factors.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal decision-support system that handles multiple types of data and multiple decision criteria through a single platform. The system is designed to be multi-functional, accommodating various component types and evaluation parameters without requiring separate analysis tools.

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

3Measurement precision

If manufacturers manually analyze LCA database data to make component substitution decisions, then detailed assessment is possible, but the process is time-consuming and inefficient

Engineering Contradiction:
Improveassessment detailVSAvoidanalysis time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements a self-service system where the automated analysis platform independently performs data processing, comparison, and recommendation generation without requiring manual intervention. The system serves itself by automatically querying databases, analyzing results, and producing business-ready insights.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent performs preliminary analysis of component alternatives before formal decision-making is required. The system pre-processes environmental impact data, pre-compares alternatives, and pre-generates recommendations, so that when decisions are needed, the analysis is already complete and ready for review.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS8730843B2System and method for tree assessment
Publication Date: 2014.05.20 HEWLETT PACKARD ENTERPRISE DEV LP
  • US8730843B2 patent drawing
  • US8730843B2 patent drawing
  • US8730843B2 patent drawing

AI summary

Tree assessment systems and methods are disclosed. An example of a method includes building a system tree in computer-readable medium, the system tree having a plurality of nodes, each node in the system tree representing a characteristic of a component of a system under consideration. The method also includes comparing nodes of the system tree stored in computer-readable medium, with nodes in other trees to identify at least one similar node for identifying similar trees. The method also includes extracting extracting a most similar tree from the similar trees based on the at least one similar node. The method also includes assigning characteristics from the most similar tree to the system tree.