Automatic Estimation System for Manufacturing Cost and Delivery Time
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Solution Overview
Problem
Conventional design support systems for manufacturing mechanical devices struggle to accurately estimate manufacturing costs and delivery times due to the inability to dynamically adjust manufacturing conditions during the design stage, requiring technical knowledge to make comprehensive decisions.
Innovation Solution
An automatic estimation method and system that recognizes the shape and size of an item, allows selection of manufacturing conditions such as tolerance, and displays corresponding prices or delivery times, enabling users to easily determine specifications without technical knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional design support systems use fixed manufacturing conditions for estimation, then the system structure remains simple, but the user cannot comprehensively determine item specifications without technical knowledge
Solution Approach 1:
The system dynamically updates manufacturing conditions, prices, and delivery times based on user selections. The display terminal refreshes information in real-time when users change tolerance or other manufacturing condition parameters, transforming a static estimation system into a dynamic one that adapts to user interactions.
Solution Approach 2:
The system provides immediate feedback to users when they select different manufacturing conditions. The server receives selection information, recalculates prices and delivery times, and sends updated information back to the display terminal, creating a closed-loop feedback mechanism that guides users to optimal specifications.
2Adaptability or versatility
If the system allows arbitrary changes of manufacturing conditions, then user flexibility improves, but the estimation accuracy deteriorates due to lack of dynamic updating
Solution Approach 1:
The system implements a feedback loop where the server receives manufacturing condition selections from the display terminal, recalculates prices and delivery times based on these selections, and sends updated estimation data back to the terminal. This ensures estimation accuracy is maintained even as users freely adjust manufacturing conditions.
Solution Approach 2:
The estimation system transitions from static to dynamic by continuously updating prices and delivery times in response to manufacturing condition changes. The server performs real-time recalculations and the display terminal reflects these updates immediately, maintaining accuracy throughout the interaction process.
3Reliability
If the system processes multiple manufacturing conditions dynamically, then the comprehensiveness of specification determination improves, but the processing time increases
Solution Approach 1:
The server prepares and stores multiple sets of manufacturing conditions, prices, and delivery times in advance before the user makes selections. This preliminary preparation allows the system to quickly retrieve and display relevant information without performing time-consuming calculations during user interaction, reducing perceived processing time while maintaining comprehensive analysis.
Data Source
AI summary
An automatic estimation method comprises a first step (STEP 01) of introducing a shape data on an item, a second step (STEP 02) of recognizing a shape of the item on the basis of the shape data, a third step (STEP 06) of acquiring a manufacturing condition which can be selected on the basis of the recognized shape, a fourth step (STEP 08) of displaying the manufacturing condition and corresponding price and delivery time, and a fifth step (STEP 09, STEP 10) of updating the displayed price and delivery time depending on change of the manufacturing condition.