Vector Correlation Request Prioritization System

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Solution Overview

Problem

Large institutions face challenges in efficiently processing and approving employee requests due to high volumes and dynamic priorities, leading to network congestion and difficulty in timely decision-making.

Innovation Solution

A request management system that uses vector correlation quantification to generate a prioritization matrix, calculate a request quality score, and transmit enhanced data packets, facilitating real-time processing and approval of requests by correlating request attributes with decision priorities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional manual processing methods are used for employee requests, then decision-making can be personalized and flexible, but processing time and administrative burden increase significantly during high-volume periods

Engineering Contradiction:

Improverequest processing throughputVSAvoiddecision-making time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent introduces an automated request management system that acts as an intermediary between employees and administrators. The system includes a request submission module, automated routing module, and approval module that work together to process requests without requiring direct human intervention for each individual request, thereby increasing throughput while maintaining timely decision-making

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The request processing system is divided into distinct functional segments: request submission, automated routing based on priority and type, approval workflows, and notification modules. This segmentation allows each component to operate independently and efficiently, handling specific aspects of request processing to overall improve throughput

Inventive Principle:

Principle #1Segmentation

2Loss of information

If all request data is transmitted across the network during high-volume periods, then complete information is available for decision-making, but network congestion occurs

Engineering Contradiction:

Improverequest data completenessVSAvoidnetwork congestion

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The system extracts and transmits only the essential request attributes and data needed for decision-making, rather than transmitting all possible request information. The automated routing module identifies and prioritizes critical data elements, removing unnecessary information from transmission to reduce network load while preserving decision-making capability

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system dynamically changes data transmission parameters based on network conditions and request priority. During high-volume periods, the system adjusts the level of detail transmitted for different request types, optimizing network usage while ensuring critical requests receive complete information for timely approval

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If dynamic priorities are continuously updated to reflect changing institutional goals, then request approval alignment with current priorities is improved, but system complexity increases

Engineering Contradiction:

Improvepriority alignment with institutional goalsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic priority settings that can be updated in real-time to reflect changing institutional goals and priorities. The automated routing module continuously monitors these priority changes and automatically adjusts request routing and approval workflows accordingly, allowing the system to adapt without requiring complex manual reconfiguration

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where approval outcomes and institutional goal changes are continuously monitored and fed back into the priority setting mechanism. This allows the system to automatically adjust to changing priorities based on actual performance data and institutional direction, reducing the need for complex manual intervention

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11423361B2System for enhancing on-campus communications through vector correlation quantification for employee request submissions

Publication Date: 2022.08.23 IMAM ABDULRAHMAN BIN FAISAL UNIV

AI summary

Systems and methods for determining an amount of correlation between non-orthogonal vectors characterizing quantified employee request submissions include generating a prioritization matrix for a request submission including entries associated with characteristics of the request submission considered important by one or more approvers; generating a request attribute vector characterizing attributes of a request extracted from the request submission; calculating a product for each entry of the prioritization matrix by multiplying corresponding entries of the prioritization matrix and the request attribute vector; applying a weighting factor to the product for each entry of the prioritization matrix resulting in weighted products for each entry of the prioritization matrix; accumulating the weighted products into a request quality score indicating an amount of correlation between the prioritization matrix and the request attribute vector; and transmitting an enhanced data packet to another computing device including the request attribute vector, prioritization matrix, or request quality score.