Workforce Management System for Resource Allocation Optimization
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Solution Overview
Problem
Current computer systems lack an effective method to identify and address mismatches between resource requirements and actual resource availability within organizations, leading to inefficiencies and potential mission failures.
Innovation Solution
A computer-based method that builds a model of an organization, queries managers and employees for resource levels and assessments, identifies mismatches, and provides desirability function values to guide adaptive changes, such as training or restructuring, to optimize resource allocation and minimize risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a computer system implements comprehensive resource modeling and mismatch identification, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments resource management into distinct components: resource modeling module, mismatch identification module, and adaptation planning module. Each module handles specific aspects of resource management independently, reducing overall system complexity while maintaining comprehensive functionality.
Solution Approach 2:
The patent introduces an intermediary computer system that acts as a mediator between managers' resource requests and actual resource availability. This intermediary automatically identifies mismatches and facilitates adaptation planning, reducing the complexity burden on individual managers while improving overall allocation efficiency.
2Measurement precision
If the system collects detailed assessments from both managers and employees, then measurement precision is improved, but information processing requirements increase
Solution Approach 1:
The system implements feedback mechanisms where employee assessments are collected and compared against manager requests. This feedback loop enables precise measurement of resource gaps while systematically processing information through automated comparison algorithms, reducing manual processing burden.
Solution Approach 2:
The patent merges manager requests and employee assessments into a unified resource model. By combining these diverse information sources into a single integrated framework, the system achieves comprehensive measurement precision while managing information processing through centralized automated analysis.
3Adaptability or versatility
If the system provides multiple adaptation options with desirability function values, then adaptability is improved, but decision-making complexity increases
Solution Approach 1:
The system changes the parameter representation of adaptation options by calculating desirability function values for each potential adaptation. These quantitative parameters enable managers to compare multiple adaptation scenarios objectively, improving adaptability while simplifying decision-making through standardized evaluation metrics.
Solution Approach 2:
The patent performs preliminary analysis of multiple adaptation options before presenting them to managers. By pre-calculating desirability function values and preparing comprehensive adaptation scenarios in advance, the system provides flexible adaptation choices while reducing the complexity of real-time decision-making.
Data Source
AI summary
A computer program programmed to assist management of a group in deploying, training, hiring, and firing staff and other resources of the group. The program builds a model of a group, the model including the organizational structure, missions, and tasks that the group performs to achieve its missions. The program queries managers of a group to obtain the managers' requested levels for a plurality of resources for the group, including requested levels of proficiency for a plurality of competencies. The program queries staff members of the group to obtain staff assessments of the degree to which the group meets the requested levels and competencies. The program compares the managers' requested levels and the staff assessments to identify mismatches between the requests and assessments, and reports those mismatches to the managers, for example, in the form of suggestions for training of staff. The program may perturb the model to reflect a change of a requirement imposed on the group. The computer may receive or develop of adaptations in the model to reflect adaptations to the group to respond to the changed imposed requirement. The program may perform adaptive modeling or optimization of the model to discover a desirable set of adaptations for implementation by the group to respond to the changed imposed requirement.