Token Emission Model

This document outlines the key data points utilized in our reward-giving algorithm, highlighting its potential to create a thriving and responsible 3D printing ecosystem.

3dos-datapoints-mindmap

Data Points and Reward Mechanism:

1. Formalizing Print Success Rate and Reward:

   • We define print success rate as the percentage of prints completed successfully on the first attempt.

   • Mfr's with high success rates receive increased rewards, promoting consistent quality and reducing waste.

   • This incentivizes Mfr's to invest in reliable equipment and maintain rigorous quality control processes.

2. Proof of Print:

   • Mfr's provide verifiable proof of print for completed orders, ensuring transparency and accountability.

   • This builds trust with investors and customers by guaranteeing order fulfillment with physical evidence.

3. Time to Accept Order:

   • The time taken by Mfr's to accept orders is factored into the reward calculation.

   • Faster acceptance times are rewarded to encourage agility and responsiveness to customer needs.

   • This improves overall platform efficiency and customer satisfaction.

4. Order Fulfilment:

   • Timely order fulfilment is crucial for customer satisfaction and platform reputation.

   • Mfr's who consistently deliver orders within designated timeframes receive higher rewards.

   • This motivates Mfr's to optimize production processes and ensure timely delivery.

5. Raw Material Usage:

   • We track raw material usage per order, promoting sustainable practices.

   • Mfr's who minimize material waste receive bonus rewards, encouraging responsible resource management.

   • This aligns with growing environmental concerns and positions 3DOS as a leader in sustainable manufacturing.

6. Print Efforts (Complexity, Time):

   • Print complexity and time are considered when calculating rewards.

   • Completing complex prints or finishing orders within tighter deadlines earns higher rewards, recognizing the additional effort involved.

   • This acknowledges the skill and expertise of Mfr's while creating a balanced reward structure.