Resource Allocation Occupancy Display for Planned vs Actual Records
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Solution Overview
Problem
Existing systems for tracking and analyzing resource allocations in enterprises are time-consuming and prone to errors, leading to underutilization or over-commitment of resources, and lack flexibility in updating and analyzing electronic records.
Innovation Solution
A system and method utilizing a back-end application computer server to manage planned and actual resource allocation data stores, enabling real-time data entry, update, and analysis through an interactive user interface, with features like automated alerts for variances and integration with third-party data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual updating and analysis of electronic records is performed using spreadsheet applications, then flexibility in analyzing results is maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical operations in spreadsheet applications with an automated computerized system. The system automatically updates electronic records, calculates occupancy values, and generates analysis reports, eliminating manual data entry and computation while maintaining analytical flexibility through programmable parameters and configurable report formats.
Solution Approach 2:
The system enables self-service functionality where the computer automatically performs data validation, conflict detection, and analysis without requiring manual intervention. The system serves itself by autonomously updating records, calculating metrics, and generating reports based on pre-configured parameters, thereby improving speed and accuracy while preserving flexibility through user-configurable settings.
2Measurement precision
If comprehensive resource allocation tracking is implemented across many employees and tasks, then planning accuracy improves, but the complexity of managing and analyzing the data increases
Solution Approach 1:
The patent segments the resource allocation system into distinct functional modules: data entry interface, validation module, conflict detection engine, calculation module, and reporting system. Each module handles specific aspects of resource tracking independently, reducing overall system complexity while maintaining comprehensive tracking accuracy across multiple employees and tasks.
Solution Approach 2:
The system introduces an intermediary computerized platform that mediates between data sources (employees, tasks, calendars) and analysis functions. This intermediary automatically standardizes data formats, validates entries, and reconciles conflicts between multiple data sources, thereby maintaining measurement precision while managing complexity through automated intermediate processing steps.
3Speed
If real-time updates and analysis of resource allocations are implemented, then decision-making speed improves, but the system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-configuring analysis parameters, validation rules, and report templates before data entry. Conflict detection algorithms and occupancy calculations are pre-programmed to execute automatically upon data input, enabling real-time updates and analysis without requiring complex computational resources during actual operations. This preliminary setup reduces real-time processing complexity while maintaining fast decision-making capability.
Data Source
AI summary
A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.


