Dynamic Process Simulation State Engine for Value Stream Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current process and value stream mapping tools lack dynamic simulation capabilities, failing to account for changes in process constraints and product mix, which limits their effectiveness in identifying productivity improvements in lean implementations.
Innovation Solution
A computer-readable medium with instructions that implement a method to dynamically simulate process flows using a state engine to manage operations rules and update productivity parameters, enabling dynamic value stream mapping and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional value stream mapping tools are used, then basic process mapping is achieved, but dynamic simulation capabilities and ability to account for process constraint changes are lacking
Solution Approach 1:
The patent implements dynamic simulation by allowing process models to be continuously updated with changing process constraints and product mix parameters. The system transitions from static value stream maps to dynamic simulations that adapt to real-time changes in manufacturing conditions, enabling the model to reflect current operational states rather than historical snapshots.
Solution Approach 2:
The patent creates a virtual copy of the manufacturing process through computer-based simulation models. This digital twin approach allows analysis and optimization of process flows without disrupting actual production, enabling experimentation with different scenarios and constraint changes in a risk-free virtual environment.
2Productivity
If offline simulation models are built and validated, then experimentation of improvements is enabled, but dynamic integration and modification capabilities are lost
Solution Approach 1:
The patent performs preliminary actions by pre-building comprehensive process models that incorporate multiple product mixes and constraint scenarios. These models are prepared in advance with embedded simulation logic, allowing rapid analysis of productivity improvements without requiring time-consuming model construction and validation during actual optimization efforts.
Solution Approach 2:
The system enables rapid parameter changes by allowing users to modify process constraints, product mix ratios, and operational parameters directly in the simulation model. These parameter changes are instantly reflected in the simulation results, eliminating the need to rebuild entire models when exploring different improvement scenarios.
3Loss of information
If static value stream maps are created, then basic process analysis is achieved, but dynamic aspects of operations and product mix variations are not considered
Solution Approach 1:
The patent creates a universal simulation platform that can handle multiple product mixes, various constraint scenarios, and different analysis objectives within a single integrated system. This multi-functional approach consolidates what would otherwise require multiple separate analysis tools, reducing overall system complexity while comprehensively capturing dynamic operational information.
Data Source
AI summary
A computer readable medium comprising instructions which when executed by a computer system causes the computer to implement a method for dynamically improving a process flow is provided. For a plurality of cells, which define activities within the process flow and are characterized by a corresponding plurality of productivity data elements, the method triggers a state engine to simulate the process flow, with the state engine configured to manage all operations rules related to the process flow, and determines at least one process improvement. The method further identifies productivity data elements that correspond to the at least one process improvement, and dynamically modifies the identified productivity data elements to improve the process flow.