Automated Hardware Acquisition Scoring for Workspace Performance

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

ITDMs face challenges in identifying and acquiring information handling system hardware components that are tailored to user computing needs while being sustainable and environmentally friendly, due to incomplete and misleading conventional data on environmental characteristics.

Innovation Solution

The implementation of systems and methods that automate the selection and acquisition of new information handling system hardware components by generating a hardware component acquisition score based on inward user data and outward environmental data, using unsupervised Machine Learning techniques like Bayesian Shrinkage Method.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If standard types of hardware components are acquired for all users, then acquisition simplicity is improved, but computing performance matching user needs deteriorates

Engineering Contradiction:

Improvehardware acquisition simplicityVSAvoidcomputing performance matching

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system automatically performs the complex task of matching hardware components to user needs by analyzing usage data and environmental characteristics, eliminating the need for manual analysis while achieving personalized recommendations. The automated scoring system serves itself by continuously learning from user behavior patterns.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system transforms static hardware specifications into dynamic, personalized recommendations by changing the evaluation parameters from generic performance metrics to user-specific weighted criteria. The scoring algorithm adjusts hardware selection based on individual user usage patterns and needs.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If manual analysis of conventional data is used to identify hardware components, then data availability is improved, but sustainability evaluation accuracy deteriorates

Engineering Contradiction:

Improvedata availabilityVSAvoidsustainability evaluation accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The system introduces an intermediary automated scoring system that mediates between available conventional data and the need for accurate sustainability evaluation. This intermediary layer processes and contextualizes raw data about environmental characteristics, transforming it into meaningful evaluation metrics.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual mechanical analysis of sustainability data with an automated computational system. The machine learning algorithms automatically process environmental characteristic data, replacing human analysts who struggle to interpret complex sustainability metrics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If automated scoring system combining inward and outward data is implemented, then hardware selection accuracy is improved, but system complexity deteriorates

Engineering Contradiction:

Improvehardware selection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex hardware selection process into distinct components: data collection modules for inward user data and outward environmental data, a scoring calculation module that combines these factors, and a recommendation generation module. This segmentation makes the overall complex system more manageable and maintainable.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The automated scoring system serves multiple functions simultaneously: it evaluates user needs, analyzes environmental characteristics, determines hardware suitability, and generates recommendations. This multi-functionality consolidates what would otherwise require multiple separate systems into a single unified platform.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250029035A1Automated acquistion of information handling system hardware components to achieve optimized user workspace performance together with improved sustainability

Publication Date: 2025.01.23 DELL PROD LP

AI summary

Systems and methods are provided that may be implemented on an information handling system to select and acquire available information system hardware components in an automated manner that improves user workspace performance, achieves improved system sustainability, and reduces the carbon footprint of the user's information handling system. The available information system hardware components may be selected and acquired based on a single hardware component acquisition score that is generated for a given user of an information handling system based on a combination of inward data (e.g., including factors such as system workspace characteristics and usage patterns of the given user) and outward data of available (e.g., new) system hardware components (e.g., including factors such as environmental sustainability of component hardware and hardware component manufacturing characteristics).