Process Simulator Certainty Indicators for Non-Expert Managers
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Solution Overview
Problem
Business process optimization in enterprises is hindered by the complexity and volume of data, requiring efficient tools that non-expert managers can use to simulate and modify processes effectively, while ensuring data accuracy and trust in simulation results.
Innovation Solution
A computer program product that receives process models with parameters and performance data, calculates certainty level indicators or instructions, and simulates process execution with modified data, providing a user-friendly interface for visualization and modification of process parameters to improve process efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If process models with parameters and performance data are used for simulation, then process optimization capability is improved, but data complexity and volume increase making it difficult for non-expert managers to operate
Solution Approach 1:
The patent introduces an intermediary system (simulation system with user interface) that mediates between the complex process data and non-expert managers. This intermediary automatically performs simulations, calculates certainty indicators, and presents results in an accessible format, shielding users from data complexity while enabling process optimization
Solution Approach 2:
The system transforms complex process parameters into simplified certainty indicators that represent the influence of parameters on simulation outcomes. This parameter transformation allows non-expert users to understand and work with process optimization without needing to comprehend the underlying complex data structures
2Measurement precision
If comprehensive performance data is collected for accurate simulation, then measurement precision is improved, but data volume and complexity increase
Solution Approach 1:
The system extracts only the essential information needed for simulation accuracy by calculating certainty indicators that represent parameter influence. Instead of presenting all raw performance data, the system extracts and presents only the relevant certainty levels, reducing data volume while maintaining simulation precision
Solution Approach 2:
The patent segments comprehensive performance data into meaningful certainty indicators organized by parameter influence. This segmentation divides the large volume of raw data into manageable, interpretable units that maintain precision while reducing complexity
3Ease of operation
If manual data modification is allowed for simulation optimization, then ease of operation is improved, but risk of data accuracy loss increases
Solution Approach 1:
The system implements feedback mechanisms where the simulation engine provides certainty indicators that guide users on which modifications are appropriate. This feedback loop allows users to make informed modifications while maintaining data accuracy, as the system continuously monitors and reports the impact of changes
Data Source
AI summary
In a computer-implemented process modeling and simulating environment, an analyzer receives a process model with parameters in combination with data from previous or planned process performances. An analyzer receives a simulation target from a user, calculates evaluation results that represent the influence of the parameters in view of the simulation target, and presents the evaluation results as indicators to the user. Upon receiving modifications to the performance data, the process is simulated with modified performance data. Alternatively, the evaluation results are converted to computer instructions to automatically modify the process parameters.