Labor Resource Decision Support System for Gap Analysis
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Solution Overview
Problem
The labor resource outsourcing industry faces challenges in accurately planning and deploying the right skills in the right location at the right time due to rapid workforce growth and resource sourcing competition, making it difficult for providers to meet future demand.
Innovation Solution
A labor resource decision support system that uses a standardized data record format across multiple organizational units to maintain labor resource data, determine demand and supply measurements, calculate gap measurements, and provide outputs for addressing resource planning needs, including determining the number of roles to fill, requisitions to create, and surplus headcounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standardized data record format is implemented across multiple units, then data consistency and measurement accuracy improve, but system complexity and implementation difficulty increase
Solution Approach 1:
The system segments the complex task of labor resource planning into standardized data records with specific fields (skill, language, location, job level, etc.). Each field represents a discrete segment of information that can be independently defined, collected, and analyzed, making the overall system more manageable despite its comprehensive nature.
Solution Approach 2:
The standardized data record format serves multiple functions: it collects labor resource data, enables demand and supply measurements, supports gap analysis, and facilitates reporting across different organizational units. This universal format replaces multiple disparate data collection methods, reducing overall system complexity despite the initial standardization effort.
2Manufacturing precision
If comprehensive labor resource data is collected and analyzed across the organization, then resource allocation accuracy improves, but data collection time and processing complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-defining the standardized data record format with all necessary fields and validation rules before data collection begins. This upfront preparation ensures that data is collected in a consistent, analysis-ready format from the start, eliminating the need for later data cleaning and transformation activities that would consume additional time.
3Adaptability or versatility
If gap measurements are calculated for multiple labor resource types and time periods, then planning comprehensiveness improves, but calculation complexity and processing requirements increase
Solution Approach 1:
The system uses copying by replicating the standardized data record format and gap measurement calculations across multiple labor resource types and time periods. Instead of creating unique analysis frameworks for each scenario, the same proven template is copied and applied consistently, reducing calculation complexity while maintaining comprehensive planning coverage.
Data Source
AI summary
A labor resource decision support system, in which labor resource data is maintained across multiple units within an organization using a standardized data record format. A demand measurement for a first type of labor resource having a unique combination of values for fields of the standardized data record format is determined based on input describing forecasted demand for the first type of labor resource within the organization and a supply measurement for the first type of labor resource is determined based on input describing forecasted supply for the first type of labor resource within the organization and the labor resource data. A gap measurement is calculated based on the determined demand measurement and the determined supply measurement and an output is provided based on the calculated gap measurement.