Multi-Level Concentric Goal Representation for Resource Management
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Solution Overview
Problem
Current methods for developing strategies to achieve goals become increasingly complex and inefficient as the number of sub-goals increases, making it difficult to optimize resource utilization and communicate progress among team members.
Innovation Solution
A multi-level concentric representation system that divides goals into sub-goals with defined parameters, allowing for visual tracking of progress and relative importance, enabling efficient resource management and clear communication among team members.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the goal is broken into multiple sub-goals to improve strategy development, then the comprehensiveness of goal achievement is improved, but the complexity of managing the goal and sub-goals increases
Solution Approach 1:
The patent divides the main goal into multiple sub-goals organized in a hierarchical structure with different generations (first-generation sub-goals, second-generation sub-goals, etc.). Each sub-goal can be further divided into subsequent generations, creating a segmented breakdown that maintains comprehensiveness while organizing complexity through structured hierarchy.
Solution Approach 2:
The patent implements a nested hierarchical structure where sub-goals are contained within generations, and subsequent generation sub-goals are nested within first-generation sub-goals. This nesting approach allows comprehensive goal decomposition while managing complexity through nested containment relationships.
2Reliability
If the number of sub-goals increases to improve coverage, then the completeness of resource allocation is improved, but the time involved in manually managing the goal increases
Solution Approach 1:
The patent incorporates progress tracking mechanisms that monitor the completion status of sub-goals and provide feedback on overall goal achievement. This feedback system automates the monitoring process, reducing the manual time required to track progress across multiple sub-goals while maintaining complete resource allocation oversight.
Solution Approach 2:
The hierarchical structure allows sub-goals to be managed semi-independently, with each generation of sub-goals capable of being tracked and managed separately. This self-service approach reduces the central coordination time required while ensuring complete resource allocation across all sub-goals.
3Measurement precision
If the number of sub-goals increases to improve detail, then the precision of progress tracking is improved, but the difficulty of identifying optimum values of factors increases
Solution Approach 1:
The patent applies local quality by allowing different generations of sub-goals to have different levels of detail and different parameter definitions. First-generation sub-goals can have broader parameters, while subsequent generation sub-goals can have more specific parameters, enabling precise progress tracking at each level without overwhelming the overall system with uniform complexity.
Solution Approach 2:
The patent introduces a generational dimension to organize sub-goals, adding a temporal and hierarchical dimension to progress tracking. This dimensional approach allows precise measurement of progress at each generation level while simplifying the identification of optimum values by considering factors across multiple dimensions rather than a single flat structure.
4Reliability
If the number of sub-goals increases to improve comprehensiveness, then the thoroughness of information communication is improved, but the efficiency of communicating information among team members decreases
Solution Approach 1:
The patent segments information communication by organizing it according to generations of sub-goals. Team members can communicate about specific generations or subsets of sub-goals rather than all sub-goals simultaneously, maintaining thorough information exchange while improving efficiency through segmented communication channels.
Solution Approach 2:
The hierarchical structure acts as an intermediary layer between the main goal and individual sub-goals. Information can be communicated through this intermediate structure, allowing thorough information dissemination while reducing direct communication overhead by using the hierarchical framework as a mediator.
Data Source
AI summary
A method, system and computer program product for strategy development and resource management for achieving a goal. The goal is divided into a plurality of first-generation sub-goals to form a goal hierarchy. At least one parameter is defined for the first-generation of sub-goals. The sub-goals are further divided into subsequent generations of sub-goals if the number of generations of sub-goals is less than a threshold value. A multi-level concentric representation of the goal hierarchy is created, based on the at least one parameter. The multi-level concentric representation is used for developing a strategy for achieving the goal.