Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Secure Circular Supply Chains for Electronic Waste in Egypt: A Monte Carlo Synthetic-Network Study

Domain:

environment and energy

Record type:

paper
Creator:
Wal
Publisher:
Zenodo
Host:avatar
This study develops and tests a computational model of secure circular supply chain readiness for electronic waste in Egypt. A synthetic dataset of 360 network organizations was generated from six capability domains: collection infrastructure, stakeholder collaboration, traceability, regulatory support, security controls, and human capability. The readiness model explained 47.3% of variance. Circular readiness, traceability, security controls, and collaboration jointly explained 84.7% of the synthetic recovery-rate variation. Security controls, traceability, regulatory support, and circular readiness explained 83.3% of leakage-risk variation. Mean recovery increased from 52.8% in the low-security tier to 69.9% in the high-security tier, while leakage risk fell from 37.4% to 19.5%. Results validate the logic and analysis pipeline but are not observations of Egypt’s e-waste sector.

Visit

doi.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Secure AI Readiness for Molecular Precision Medicine Supply Chains in Egypt: A Monte Carlo Workflow SimulationAI-Enabled Physical Internet Readiness and Sustainable Healthcare Supply Chain Performance in Egypt: A Monte Carlo Scenario Simulation

Secure AI Readiness for Molecular Precision Medicine Supply Chains in Egypt: A Monte Carlo Workflow Simulation

This computational study evaluates four molecular precision-medicine supply chain scenarios: baselin

AI-Enabled Physical Internet Readiness and Sustainable Healthcare Supply Chain Performance in Egypt: A Monte Carlo Scenario Simulation

This Monte Carlo study evaluates four synthetic healthcare supply chain capability scenarios: baseli