Workforce Deployment Optimization via Multi-Dimensional Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Businesses face challenges in efficiently deploying resources, such as workforce members, to minimize costs and maximize revenue, due to increasing specialization and geographical demands, requiring a method to identify sub-optimal deployments and optimize resource allocation across multiple dimensions.
Innovation Solution
A system and method for rationalizing resource allocation by analyzing characteristics of resources, including skills, geographic assignments, and availability, to determine sub-optimal deployments and identify areas for improvement, using a roster to store and manage resource data and generate reports for optimizing workforce deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If businesses deploy resources based on current cost minimization, then immediate costs are reduced, but resources may be tied up that could generate more revenue if deployed differently
Solution Approach 1:
The system performs preliminary analysis of resource deployment options by evaluating multiple dimensions (skills, geography, availability) before making deployment decisions. This advance planning allows businesses to identify optimal deployment strategies that balance cost minimization with revenue maximization, rather than making reactive decisions that may tie up resources sub-optimally
Solution Approach 2:
The patent introduces multiple analysis dimensions (skills, geographic location, availability) to evaluate resource deployment. By considering resources across these multiple dimensions simultaneously, the system can identify sub-optimal deployments that would be invisible in single-dimension analysis, enabling better trade-off decisions between cost and revenue
2Loss of energy
If businesses minimize costs by reducing staff or training, then immediate expenses are reduced, but workforce continuity and efficiency may be compromised
Solution Approach 1:
The system performs preliminary identification of sub-optimal resource deployments across multiple dimensions before recommending changes. This advance analysis allows businesses to plan workforce adjustments systematically, maintaining continuity by identifying alternative deployments within the existing workforce rather than making abrupt reductions or hiring decisions
3Adaptability or versatility
If businesses geographically redeploy staff to meet demand, then service coverage is improved, but redeployment costs increase
Solution Approach 1:
The patent adds geographic location as one of multiple dimensions for analyzing resource deployment. By evaluating resources across skills, geography, and availability simultaneously, the system can identify sub-optimal geographic deployments and plan redeployments that balance service coverage needs with cost considerations, rather than making isolated geographic decisions
Data Source
AI summary
Systems and techniques are provided for rationalizing resource allocations. Stored information relating to resources may be retrieved. The stored information may include characteristics of each resource. A resource rationalization category that corresponds to at least one of the characteristics may be identified, and a sub-optimal deployment of resources associated with the resource rationalization category may be determined based, at least in part, on the stored characteristics of each resource.