Manufacturing Process Selection Using Objective Function Evaluation
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Solution Overview
Problem
Modern manufacturing processes are inefficient due to the complexity of managing various variables, leading to increased time and cost in selecting optimal manufacturing methods for object production.
Innovation Solution
A system and method utilizing a computing device to receive design files, identify comprehensive manufacturing processes for exterior elements, communicate through APIs with remote devices, and generate objective functions to select the most efficient processes for manufacturing objects, incorporating additive and subtractive manufacturing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If comprehensive manufacturing processes are manually analyzed and selected, then manufacturing precision can be ensured, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis and selection of manufacturing processes with an automated computing system that uses algorithms and data structures to identify and evaluate optimal manufacturing processes, thereby reducing time consumption while maintaining selection accuracy
Solution Approach 2:
The system enables self-service by automatically generating manufacturing process selections without requiring extensive human intervention, using pre-configured data structures and algorithms to autonomously evaluate and recommend optimal processes
2Manufacturing precision
If multiple manufacturing variables are manually managed and evaluated, then optimal process selection can be achieved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent segments the complex manufacturing process selection into distinct data structures (e.g., process parameters, constraints, objectives) that can be independently managed and processed, reducing overall system complexity while enabling comprehensive optimization
Solution Approach 2:
The system employs universal data structures and algorithms that can handle multiple manufacturing variables and process types through a single integrated framework, reducing operational difficulty while maintaining optimization capability
3Reliability
If traditional manufacturing selection methods are used, then process feasibility can be maintained, but productivity and efficiency decrease
Solution Approach 1:
The patent performs preliminary actions by pre-configuring data structures, constraints, and evaluation criteria before the actual manufacturing process selection, enabling rapid and reliable process identification without compromising feasibility
Solution Approach 2:
The system incorporates feedback mechanisms that continuously evaluate manufacturing process options against predefined constraints and objectives, ensuring feasibility is maintained while rapidly identifying optimal processes for improved productivity
Data Source
AI summary
In an aspect a system for selecting a plurality of entities to manufacture an object. A system includes a computing device. A computing device is configured to receive one or more files providing a design of an object to be manufactured. A computing device is configured to identify a first comprehensive process for manufacturing an object using a first exterior element. A computing device is configured to identify a second comprehensive process for manufacturing an object using a second exterior element. A computing device is configured to communicate a first comprehensive process and a second comprehensive process to one or more third parties. A computing device is configured to receive a first exterior element dataset and a second exterior element dataset. A computing device is configured to generate an objective function. A computing device is configured to provide a selection of a process.