Interactive KPI Risk Profiles for Supply Chain Planning
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Solution Overview
Problem
Existing supply chain planning systems struggle to effectively manage risk due to input variability, as they often fail to present large amounts of data and do not account for individual tolerances, leading to suboptimal decision-making.
Innovation Solution
A system comprising a risk management visualization module that generates risk profiles for Key Process Indicators (KPIs) based on input uncertainty, allowing users to adjust input variables and risk levels interactively, while calculating optimal values and feasible ranges using Gaussian processes and Bayesian optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a supply chain plan is generated to maximize or minimize a business objective, then the optimal KPI is achieved for given input variables, but the system is unable to present large amounts of data and individual tolerances for risk
Solution Approach 1:
The patent segments the large amount of risk data into organized visual displays showing different aspects of risk (input variability, KPI sensitivity, tolerance levels). The system divides comprehensive risk information into manageable visual components that can be presented simultaneously, allowing users to see both individual tolerances and overall risk profiles without information loss.
Solution Approach 2:
The patent transforms risk data from tabular or textual formats into visual dimensions using graphs and charts. By adding visual dimensions ( graphical representations of risk profiles, tolerance ranges, and sensitivity analyses), the system presents large amounts of data in a condensed visual format that maintains information density while improving accessibility and comprehension.
2Measurement precision
If the system presents detailed risk data for individual tolerances, then risk management precision is improved, but the device complexity increases
Solution Approach 1:
The patent introduces a visual interface as an intermediary layer between the complex risk calculation engine and the user. This intermediary translates complex computational results into intuitive visual representations, allowing detailed risk tolerance measurements to be displayed without exposing users to the underlying system complexity. The visual interface acts as a mediator that simplifies presentation while preserving precision.
3Adaptability or versatility
If the system allows interactive adjustment of input variables and risk levels, then adaptability is improved, but the ease of operation may be reduced
Solution Approach 1:
The patent implements dynamic visual displays that automatically update in response to user adjustments of input variables and risk levels. The system transitions from static reports to dynamic visualizations that respond in real-time to user interactions, maintaining ease of operation through automatic updates while providing high adaptability. Users can adjust parameters and immediately see the impact on risk profiles without manual regeneration of reports.
Data Source
AI summary
A system and method for a risk management visualization system comprises a computer having a processor and memory and configured to model a supply chain network as a supply chain planning problem, one or more key process indicators (KPIs) of the supply chain planning problem is based, at least in part, on the one or more input variables, model an impact on the one or more KPIs from each of the one or more input variables at a selected confidence interval using a Bayesian optimization process, and display a visualization of a risk profile for the one or more KPIs, the visualization indicating a probability that an actual KPI value differs from a predicted KPI value.