What the Data Revealed
Four metrics. Three dashboard pages. Hundreds of operational records — distilled into findings that matter.
Constrained by vehicle availability and suboptimal routing, with troughs on Mondays and in summer months.
Each 1% improvement in sorting accuracy yields 2.3% more marketable recovered material — the most powerful lever in the system.
Top-performing facilities outperform the portfolio mean by over 40% in recovery rate — driven by operational know-how, not just capital.
Mechanical failure, contamination, and maintenance overruns alone account for two-thirds of all operational downtime hours.
Recycling Rate Trajectory (2018–2027)
Egypt's progress toward the Vision 2030 target
The 2027 ⚑ point represents the Vision 2030 national target — not a measured value. Based on projected intervention impact of 15–20 percentage points above 2024 baseline.
Operational Downtime by Root Cause
Pareto distribution — top 3 causes = 67% of all downtime
⚠ Top 3 causes account for 67% of total downtimeWhat Else the Data Showed
Collection Efficiency: 73% Mean with High Variance
Vehicle availability was the primary constraint, not workforce. Analysis of temporal patterns revealed performance troughs consistently at the start of each calendar week and during peak summer months — both linked to fleet maintenance scheduling and heat-related vehicle failures.
Sorting Accuracy Drives Everything Downstream
Bivariate analysis found a statistically significant negative correlation between sorting accuracy rates and downstream material contamination. Front-end quality at the sorting stage directly determines how much material is marketable at the end of the pipeline — making it the highest-ROI investment in the system.
Downtime Distribution is Highly Skewed
Univariate analysis revealed a right-skewed distribution in downtime duration — a small number of high-magnitude mechanical failure events caused disproportionately large losses, while routine minor delays were far more frequent but less impactful. This supports predictive maintenance as the primary intervention.
40%+ Gap Between Best and Average Facilities
The best-performing facilities achieve recovery rates more than 40% above the portfolio mean. This gap is not explained by capital differences — it reflects operational practices, shift management, and sorting procedures. Best-practice dissemination is a zero-capital intervention with high potential impact.
Three Dashboard Pages, Built in Power BI
Executive Summary
For senior leadership. Aggregate KPI cards with trend sparklines for collection efficiency, sorting accuracy, material recovery rate, and total operational downtime. A geographic heat map encodes facility-level performance variance.
Downtime & Operational Analysis
For operations managers. Pareto chart of downtime root causes, duration timelines by facility and cause category, with drill-through to individual incident records.
Operator & Resource Performance
For facility supervisors. Scatter plots of operator tenure vs. throughput rates, matrix visuals for cross-cohort comparison, performance breakdown by shift and material type.
Egypt Waste Database Explorer
Filter observational study metrics across all 27 governorates in real time and download customized reports.
Waste Stream Composition
Average constituent fractions recorded in municipal solid waste studies.
| Organic | Plastic | Paper / Cardboard | Glass | Metal | Other Waste |
|---|---|---|---|---|---|
| 0% | 0% | 0% | 0% | 0% | 0% |