Interactive Dashboard for Injection Molding Cost Estimates
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Solution Overview
Problem
Current approaches to new product development in injection molding lack business-to-business collaboration tools for accurate time and cost estimates, leading to mistrust and inefficiencies between designers, purchasing agents, and leadership, with lengthy quote processes that delay product introductions and increase costs.
Innovation Solution
A customizable, real-time interactive dashboard system that provides instant and accurate manufacturing time and cost estimates for injection molded parts, allowing live collaboration and immediate feedback on design changes, using a proprietary algorithm to compute production analytics and display critical processing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional quote processes are used for injection molded parts, then accurate cost and time estimates can be obtained, but the process is time-consuming and creates delays in product development
Solution Approach 1:
The system performs preliminary calculations of manufacturing costs and cycle times using pre-programmed algorithms and databases before the actual manufacturing process begins. Users can input part specifications and receive instant estimates without waiting for manual quotes from manufacturers, thereby eliminating the time delay while maintaining accuracy through comprehensive calculation of material, labor, and overhead costs.
Solution Approach 2:
The patent replaces the manual mechanical quote process with an automated computer-based estimation system. The system uses software algorithms to calculate manufacturing costs and cycle times automatically based on part geometry, material selection, and production quantity, eliminating the need for manual intervention and lengthy communication cycles between designers and manufacturers.
2Measurement precision
If detailed analysis of part geometry and material options is performed, then accurate production estimates can be provided, but the process becomes more complex and time-consuming
Solution Approach 1:
The system enables users to perform their own analysis by providing an intuitive interface where users input part specifications and receive automatic calculations. The underlying complexity of analyzing part geometry, material properties, and manufacturing processes is encapsulated within the system's algorithms, allowing users to obtain accurate estimates without needing to understand or perform complex manual analysis themselves.
Solution Approach 2:
The system handles complexity by automatically adjusting multiple parameters such as material costs, labor rates, overhead percentages, and cycle time calculations based on the input specifications. The algorithm dynamically modifies these parameters to provide accurate estimates for different part geometries, material options, and production quantities without requiring manual adjustment of each parameter.
3Productivity
If real-time feedback on design changes is implemented, then decision-making speed increases, but the system requires continuous computation and data updates
Solution Approach 1:
The system performs preliminary computation by pre-calculating and storing material costs, labor rates, overhead percentages, and cycle time parameters in databases before user interaction. When users make design changes, the system only needs to recompute the affected portions using pre-stored data, rather than performing complete analysis from scratch, thereby enabling real-time feedback with reduced computational energy consumption.
Data Source
AI summary
A user-friendly system for analyzing and visualizing the production of injection molding parts in real-time is described in these papers. By utilizing a unique algorithm and interface, it instantly estimates manufacturing costs and timelines based on user inputs like part design and material choice. An interactive dashboard displays this critical information, fostering team collaboration and efficient decision-making. Changes to variables automatically update the calculations, promoting transparency, reducing waste and enhancing cost-effectiveness in the manufacturing process.