Autonomous Resource Planning System for Employee Allocation
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Solution Overview
Problem
Traditional resource management methods struggle to optimize resource utilization and allocate the most suitable resources for tasks, often leading to skills gaps and project delays due to inadequate consideration of employee skills and availability, especially in large organizations.
Innovation Solution
An autonomous resource planning system that computes a compound performance index score for employees based on static and recent performance metrics, availability, and workload, allocating tasks to the highest-ranked employees with a maximum index of fit score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional resource management methods are used, then resource allocation is simple and manual, but resource utilization efficiency deteriorates and project delays occur due to inadequate consideration of employee skills and availability
Solution Approach 1:
The patent replaces manual resource allocation methods with an automated computer-based system that uses algorithms to compute compound performance index scores. The system automatically evaluates employee skills, availability, and performance metrics to generate optimal resource allocation recommendations, eliminating the need for manual assessment and significantly improving resource utilization efficiency.
Solution Approach 2:
The patent introduces a compound performance index score that combines multiple parameters including employee skills, availability, historical performance, and current workload. By changing from simple manual allocation to a multi-parameter automated evaluation system, the patent resolves the contradiction between allocation simplicity and utilization efficiency.
2Measurement precision
If manual resource allocation is used, then decision-making is subjective and prone to error, but the system remains simple and easy to operate
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors employee performance, updates performance indices, and recalculates optimal allocations. This automated feedback loop eliminates subjective human judgment and provides precise, data-driven allocation decisions while maintaining ease of operation through automatic updates and recommendations.
Solution Approach 2:
The system performs self-service by automatically computing performance indices, evaluating resource allocation options, and generating recommendations without requiring manual intervention. This maintains operational simplicity while dramatically improving allocation accuracy through objective, algorithm-based decision-making.
3Productivity
If employees are assigned based on availability only, then allocation is quick and simple, but skills gaps magnify project delays and productivity decreases
Solution Approach 1:
The patent performs preliminary evaluation of employee skills and performance before allocation decisions are made. By pre-computing performance indices and maintaining updated skill profiles, the system ensures that when allocation decisions are needed, the most suitable employees are identified quickly, preventing skills gaps from causing project delays.
4Measurement precision
If comprehensive employee evaluation is performed, then resource allocation accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary computations by pre-establishing performance indices and maintaining updated employee profiles with skills and historical performance data. This allows the system to conduct comprehensive evaluations quickly when allocation decisions are needed, as the foundational data is already processed and organized.
Solution Approach 2:
The patent transforms complex employee evaluation data into a simplified compound performance index score that combines multiple factors into a single comparable metric. This parameter transformation maintains evaluation accuracy while enabling rapid comparison and decision-making, reducing processing time without sacrificing comprehensiveness.
Data Source
AI summary
Disclosed is an autonomous resource planning device (104) that includes a processing circuitry (208) that is configured to receive one or more inputs representing static scores associated with one or more employees, compute a base score associated with each employee of one or more employees, allocate recent performance index score for each employee of one or more employees, generate a compound performance index score based on computing the base score and the recent performance index score of the one or more employees with time weight, generate index of fit score based on employee of one or more employees availability and workload details, and allocate highest ranked resource to a corresponding employee of the one or more employees with maximum index of fit score. The present disclosure also relates to a system (100) and a method (300) for managing resources.