Graphite Pricing Software Using Linear Regression Labor Curves
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Solution Overview
Problem
The existing process for calculating custom graphite rectangles lacks transparency and consistency in pricing, leading to credibility issues due to manual approximations and failure to account for material machining difficulty and small zone part-size pricing.
Innovation Solution
A software program using PHP and SQL calculates graphite material usage and labor pricing, considering additional labor costs for small dimensions and incorporating a linear regression labor curve for accurate pricing, providing a transparent and logical pricing method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual calculation methods with spreadsheet shortcuts are used, then the pricing process is simple and quick, but the pricing lacks transparency and consistency leading to credibility issues
Solution Approach 1:
The patent replaces manual mechanical calculation methods with an automated computer-based system that uses databases and algorithms to calculate pricing. This substitution eliminates the transparency and consistency issues inherent in manual spreadsheet shortcuts while maintaining quick pricing calculations through automated processing.
Solution Approach 2:
The system enables self-service pricing where the computer automatically retrieves material costs, applies markup percentages, and calculates machining labor costs without requiring manual intervention. This automated self-calculation ensures consistent and transparent pricing while maintaining high productivity.
2Adaptability or versatility
If approximations and judgments are used in pricing calculations, then the pricing process is flexible and adaptable, but the pricing lacks a basis of credibility and transparency
Solution Approach 1:
The system incorporates feedback mechanisms where the computer automatically retrieves actual material costs from databases, applies predefined markup rules, and calculates labor costs based on standardized formulas. This feedback loop eliminates approximations and judgments by using actual data and consistent calculation rules, providing transparent and credible pricing while maintaining flexibility through configurable parameters.
3Device complexity
If additional labor costs for small dimensions and machining difficulty are not accounted for, then the pricing calculation is simpler, but the pricing does not reflect actual manufacturing costs
Solution Approach 1:
The system applies local quality by detecting specific conditions such as small dimensions or difficult-to-machine materials and automatically applying additional labor cost factors to those specific cases. The computer program evaluates each dimension and material property individually, applying appropriate multipliers only where needed, thus maintaining accurate cost reflection without excessive overall complexity.
4Reliability
If a validated linear regression labor curve is used, then the pricing is more accurate and credible, but the pricing system becomes more complex
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing labor cost data in databases using validated linear regression curves before actual pricing occurs. These pre-computed factors are then automatically retrieved and applied during pricing calculations, achieving high accuracy without adding complexity to the real-time pricing process.
Data Source
AI summary
A system and method for calculating graphite material usage and labor pricing including the following parameters: category, material, class, dimensions, and quantity. The information is used for improved efficiency via web-based graphite purchasing. The method takes into consideration the additional labor cost when very small dimensions are entered which require special work holding containment. The process requires that the user make a selection for each of the parameters so a validation step can occur ensuring the desired product can be manufactured and an accurate labor charge or quote can be provided. During the calculation step, the labor surface area is applied to the labor cost based on the calculated surface area which is derived from a second degree equation derived by a linear regression curve that is applied to the labor cost based on the calculated surface area. After the calculation step the price each and total quantity price is returned.