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You don’t need to be a programmer to understand how to build a pricing script. |
There are 3 four places in the software where pricing scripts can be used:
Pricing for Materials (Sample Scripts)
Pricing for Machine Time (Sample Scripts)
Pricing for Post Processing (Sample Scripts)
Pricing for Order Fees (Sample Scripts)
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Preset Variables are available to be used for pricing
Both Mathematical Expressions and JavaScript Functions can be used in the Pricing Script
The Last Line of the script must output the final price
General Examples to Understand Pricing Concepts
In the most general case, the total price consists of three independent parts: material costs, machine costs and additional costs, such as labour, platform preparation cost, and so on. Naively, the formula can be written as follows:
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let materialUsed;
let materialPrice;
let machineTime;
let hourlyRate;
let otherCosts;
let margin;
let price = (materialUsed*materialPrice + machineTime*hourlyRate + otherCosts)*(1
+ margin); |
At the end of the formula, one needs to write the variable whose value should be returned. Typically, one ends the formula with price; written at the very bottom. If one want to check if the algorithm gives the correct value of other variables, e.g. of machine time, it is necessary to end the formula with the JS name of that variable (machineTime; in this case).
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These are general examples to explain the basic concepts of algorithmic pricing. |
Example Pricing Scripts to Illustrate Concepts
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Constant Pricing
If a fee or part should be priced the same for all users and for all orders, that can be input a single number into the script. Examples might be a fixed processing cost, a handling fee or a fixed price for internal prototyping in your company.
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20.50 // default prototyping fee |
Using Variables and Mathematical expressions
Each new variable must be defined with the keyword let
. Then the variables can be used with normal arithmetic functions.
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let a = 10 + 20; // addition
let b = 30 - 5; // subtraction
let c = 2 * 5; // multiplication
let d = 10 / 2; // division
let e = 10 ** 2 // exponentiation
a + b + c + d + e; // last line contains final price |
Pre-defined Variables from Model Analysis
Depending on the algorithm type (Materials, Post-Processing, Order Fees), there are different sets of variables available within the platform. Those variables will fill in use value pulled from the uploaded and analyzed 3D model.
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Comparison and Relational operators
Name | Syntax | Examples |
Equality |
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Inequality |
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Greater than operator |
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Greater than or equal operator |
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Less than operator |
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Less than or equal operator |
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Providing Conditions & Discounts
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let price = model.volume * 0.0002; // model.volume in cubic mm // Add a 10% Discount when ordering more then 10 items if(item.quantity > 10) { price = price * 0.90; } // Provide a 5% Discount for Users with a @3yourmind Address else if(user.email && user.email.endsWith('@3yourmind.com')) { price = price * 0.95; } // 90$ Discount if price is above 1500 else if(price > 1500) { price = price - 90; } price; // last line contains final price |
Accounting for Additional Costs
Additional costs that are generated by your business can also be accounted for, one of the most common being labor costs for preparing build platforms.
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let labor = ; // € or $
let platformPreparationCost = ; // € or $
// platform preparation cost is calculated per part
let otherCosts = labor + platformPreparationCost/item.quantity; |
Sample Complete Pricing Formula for FDM
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//material cost
let materialPrice = 80; // € or $
let materialDensity = 1.04; // g/cm^3
let supportPrice = 80; // €/kg or $/kg
let supportDensity = 1.04; // g/cm^3
let infill = 0.2; // number in [0,1]
let supportInfill = 0.2; // number in [0,1]
let wallThickness = 2; // mm
let materialUsedInfill = Math.max((model.volume - model.area * wallThickness) * infill, 0);
let materialUsedContour = Math.min(model.area * wallThickness, model.volume);
let materialUsed = materialUsedInfill + materialUsedContour;
let totalMaterialPrice = (materialUsed*materialDensity*materialPrice +
support.volume*supportPrice*supportDensity*supportInfill)*0.000001;
// hourly rate
let priceOfMachine = 200000; // € or $
let usefulLife = 7; // years
let maintenance = 40000; // € or $
let powerConsumption = 10000; // €/year or $/year
let roomCost = 4000; // €/year/m^2 or $/year/m^2
let space = 10; // m^2
let spareParts = 2000; // €/year or $/year
let gasUsage = 0; // €/year or $/year
let workingHoursPerYear = 3500; // hours/year
let hourlyRate = ((priceOfMachine + maintenance)/usefulLife + powerConsumption +
roomCost*space + spareParts + gasUsage)/workingHoursPerYear;
// machine time
let lineWidth = 0.1; // mm
let layerHeight = 0.1; // mm
let speed = 45; // mm/s
let wallThickness = 2; // mm
let volumeFactor = 0.0010747;
let areaFactor = 0.04317783;
let supportFactor = 0.0003774;
let exponent;
if( model.volume < 3000){
exponent = 0.55;
} else {
exponent = 0.88;
}
let volumePart = volumeFactor*(0.818182 - lineWidth)*(Math.pow(layerHeight, (-1.07)) +
0.232)*(Math.pow(speed, (-1.08)))*(Math.pow(infill*100, (1.02)))*model.volume;
let areaPart = areaFactor*(1.578431 - lineWidth)*(Math.pow(layerHeight, (-0.98)) + 0.341)*
(Math.pow(wallThickness, exponent) + 0.002)*(Math.pow(speed, (-0.84)) +
0.003)*model.area;
let supportPart = supportFactor*supportInfill*support.volume;
let time = volumePart + areaPart + supportPart;
let machineTime = time/60;
// other costs
let labour = 15; // € or $
let platformPreparationCost = 200; // € or $
let otherCosts = labour + platformPreparationCost/item.quantity;
// final unit price
let margin = 0.1;
let price = (totalMaterialPrice + hourlyRate*machineTime + otherCosts)*(1+margin);
price; |