Manufacturing Facility Dock Layout Using Genetic Path Optimization
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Solution Overview
Problem
Conventional CAD software lacks functionality to automatically analyze manufacturing facility designs based on shortest distances traveled by components and levels of congestion, leading to inefficient and inaccurate design processes.
Innovation Solution
A computer-implemented method that parses CAD models to identify geometric and manufacturing constraints, using genetic optimization techniques to generate optimized designs by accurately calculating travel distances and accounting for congestion, incorporating a genetic optimization module to iteratively refine designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CAD software and spreadsheets are used to design manufacturing facilities, then the design process can be performed with existing tools, but the accuracy of travel distance calculation is poor and the process is time-consuming
Solution Approach 1:
The patent replaces manual spreadsheet-based distance approximation with an automated pathfinding algorithm that integrates directly into the CAD software. This substitution eliminates the need for manual corner-to-corner distance calculations and replaces them with accurate shortest path computations through the facility layout, simultaneously improving precision and reducing time loss.
Solution Approach 2:
The patent introduces a CAD plugin as an intermediary component that bridges the gap between conventional CAD software and optimization functionality. This plugin provides automated travel distance calculation and congestion analysis capabilities within the existing CAD environment, enabling accurate measurements without requiring separate spreadsheet tools or manual processes.
2Productivity
If manual estimation of travel distances is performed using spreadsheets, then some design analysis can be conducted, but the results are inaccurate and the process is tedious
Solution Approach 1:
The patent replaces the manual spreadsheet estimation process with an automated pathfinding algorithm integrated into CAD software. This automation eliminates tedious manual calculations while providing accurate shortest path measurements that account for the actual facility layout and constraints, simultaneously improving productivity and measurement precision.
Solution Approach 2:
The patent enables the CAD software itself to perform travel distance calculations and congestion analysis automatically, without requiring external spreadsheet tools or manual intervention. The system uses its own geometric data and constraints to compute accurate paths, making the software self-sufficient for optimization analysis.
3Adaptability or versatility
If conventional CAD software is used without optimization functionality, then the software remains simple and easy to use, but it cannot automatically analyze designs based on travel distances and congestion
Solution Approach 1:
The patent introduces a CAD plugin as an intermediary that adds optimization functionality without fundamentally changing the core CAD software. This plugin provides travel distance calculation, congestion analysis, and automated design evaluation capabilities while maintaining compatibility with existing CAD workflows, thereby increasing adaptability with minimal impact on software complexity.
Solution Approach 2:
The patent makes the CAD software multi-functional by integrating optimization analysis capabilities directly into the design tool. The software now serves both as a geometric modeling tool and as an optimization analysis tool, eliminating the need for separate spreadsheet-based analysis and providing comprehensive design evaluation functionality.
4Measurement precision
If approximate corner-to-corner distance calculations are used in spreadsheets, then some design comparison can be made, but accurate shortest paths cannot be determined
Solution Approach 1:
The patent replaces the simple corner-to-corner distance approximation method with an automated pathfinding algorithm that computes accurate shortest paths. This substitution eliminates the need for complex manual methodologies while providing precise distance measurements that account for the actual facility geometry and constraints.
Data Source
AI summary
Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.