Real-Time Multi-Facet Interactive Planning System
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Solution Overview
Problem
Current sales and operations planning tools lack the ability to directly edit and propagate load changes, making it difficult to analyze the impact of load on demand and revenue, which limits the consensus process and requires trial-and-error modifications of demand and capacity.
Innovation Solution
A real-time multi-facet interactive planning system that allows direct editing of load at aggregate product family levels, propagating changes to product mix and revenue, and provides a unified view for both product and resource dimensions, enabling simultaneous determination of demand and revenue impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If load is not directly editable in current sales and operations planning tools, then the system maintains simplicity in data input, but the ability to analyze the impact of load on demand and revenue is severely limited
Solution Approach 1:
The system dynamically propagates load changes through the hierarchy by automatically recalculating dependent demand and revenue impacts when load is edited at any level. This dynamic recalculation mechanism enables direct load editing while maintaining data consistency across product families, individual products, and resource assignments without requiring manual adjustments at each level.
Solution Approach 2:
The system provides immediate feedback when load is modified by automatically calculating and displaying the impact on demand and revenue. This feedback mechanism allows users to directly edit load values and immediately see the consequences on higher-level aggregations, enabling informed decision-making without trial-and-error approaches.
2Productivity
If trial-and-error modifications of demand and capacity are used instead of direct load editing, then the system avoids complex propagation mechanisms, but the planning process becomes time-consuming and less accurate
Solution Approach 1:
The system performs preliminary calculations of dependent demand and revenue impacts before the user finalizes load modifications. By pre-calculating the effects of potential load changes and presenting them to users, the system enables informed decision-making in a single step rather than requiring multiple trial-and-error iterations, significantly improving planning efficiency.
Solution Approach 2:
The system provides immediate feedback on the impact of load modifications on demand and revenue, allowing planners to assess consequences before finalizing decisions. This real-time feedback eliminates the need for time-consuming trial-and-error cycles by showing the exact impact of each potential change.
3Measurement precision
If load changes are propagated in real-time through the hierarchy, then the accuracy of demand and revenue analysis is improved, but the computational complexity and processing requirements increase
Solution Approach 1:
The system segments the load propagation process into hierarchical levels (product family level, individual product level, and resource level). By dividing the calculation into discrete segments that can be processed independently and then aggregated, the system achieves real-time accuracy without requiring complex simultaneous calculations across the entire system, reducing computational burden while maintaining precision.
4Adaptability or versatility
If the system provides a unified view of product and resource dimensions, then the ability to analyze multi-facet impacts is improved, but the interface and data structure complexity increases
Solution Approach 1:
The system implements a unified data structure that simultaneously supports multiple viewing dimensions (product family, individual product, and resource levels) without requiring separate data models for each perspective. This universal structure allows users to navigate and analyze data from any dimension while maintaining consistency across views, achieving multi-facet adaptability without proportionally increasing complexity.
Data Source
AI summary
A system and method are disclosed for real-time multi-facet interactive planning. The system includes a database that stores data associated with one or more entities. The system further includes a computer having a memory and a processor coupled with the database and configured to receive a facet value modification and modify the facet value based on a new facet value. The computer is further configured to propagate the new facet value to modify another facet value.