Product Lifecycle Tracking and Material Recovery
Module: Sustainable Tech | Difficulty: Premium
Material Circularity Indicator
Weibull Lifetime Distribution
Comparison
| Material | Collection Rate | Processing Efficiency | Market Value ($/ton) | |
|---|---|---|---|
| Aluminum | 50-70% | 90-95% | 1500-2000 |
| Steel | 60-80% | 95-98% | 200-400 |
| Plastic | 20-40% | 70-85% | 100-500 |
| Glass | 30-50% | 90-95% | 30-80 |
Python Implementation
import numpy as np
class CircularEconomyTracker:
def material_flow_analysis(self, products, eol_rates):
flow = {'virgin': 0, 'recycled_in': 0, 'waste': 0, 'recycled_out': 0}
for product, qty in products.items():
eol = eol_rates.get(product, 0.3)
flow['virgin'] += qty * (1 - eol)
flow['recycled_in'] += qty * eol * 0.5
flow['recycled_out'] += qty * eol * 0.8
flow['waste'] += qty * eol * 0.2
return flow
def circularity_score(self, flow):
total_in = flow['virgin'] + flow['recycled_in']
total_out = flow['waste'] + flow['recycled_out']
return (flow['recycled_in'] + flow['recycled_out']) / (total_in + total_out)
Research Insight: Digital product passports enable 85-95% material recovery rates vs 40-60% conventional.