Contact Info

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Email: alextchogorian@vurcn.com

Tel: (786)535-9684

Project Manager LinkedIn: Alexandre Tchogorian

Company LinkedIn: Vast Universe USA

Brand Matrix & Business Architecture

Grounded in its intelligent reverse supply chain system, Hansheng has established a diversified service portfolio encompassing premium remanufacturing, cross-border maintenance services, and certified refurbished products—delivering efficient, reliable, and eco-friendly after-sales solutions for electronic devices to global clients.

Vast Repair™ Global Cross-Border Maintenance Service Brand
delivering one-stop repair solutions
BeiShark™ Premium Remanufacturing Brand
specializing in consumer electronics
Vast Astock™ Best-Value Refurbished Products Brand
dedicated to renewing devices with second life

Brand Matrix

MR.VAST™ Maintenance Management System

MR.VAST™ Brand leverages its independently developed MR.VAST™ Reverse Supply Chain System to achieve end-to-end digital management across the entire electronics lifecycle — from repair and testing to remanufacturing.

Compliance
Models

Institutional
Models

Reverse Data
Models

Repair Process Models

Reverse Human Resource Models

Training Material Models

Supply Chain
Models

Compliance Models

Ensure a systematic framework for MR.VAST™ Brand's global business operations to comply with laws and regulations, industry standards, and bonded zone policies in various countries.

Patent Compliance: Ensures that repair and remanufacturing processes do not infringe on the intellectual property rights of OEM manufacturers.

Data Compliance: Cross-border repair involving user data must adhere to data protection regulations such as GDPR (EU), CCPA (US), and others.

Environmental Compliance: Compliance with international environmental regulations including WEEE (Waste Electrical and Electronic Equipment Directive) and RoHS (Restriction of Hazardous Substances)

Institutional Models

A rule repository that standardizes repair, inspection, and remanufacturing processes to ensure service consistency and traceability.

    SOP (Standard Operating Procedure) Management
  • Defines disassembly, repair, and quality inspection standards for different product categories (e.g., torque specifications for MacBook battery replacements
  • Dynamically adjusts detection thresholds (e.g., screen color deviation ≤5%, motherboard voltage fluctuation ranges).
    Quality Control System
  • Digitally archives repair records to ensure each device is traceable to specific technicians and component batches.
  • Automatically triggers re-inspection mechanisms.

Reverse Data Models

An intelligent analytics engine within the MR.VAST™ system for processing reverse logistics (recycling → repair → redistribution) data.

    Failure Mode Analysis
  • Statistics on high-frequency failure points to optimize repair resource allocation
  • Predictive maintenance recommendations
    Reusable Component Analysis
  • Calculates the availability rate of salvaged components (e.g., displays, batteries) to reduce procurement costs
  • Develops a "Component Health Score" rating model (e.g., batteries with ≤300 charge cycles are reusable)

Repair Process Models

A knowledge base constructed from massive repair cases, providing guided repair solutions for various electronic products

    Multi-brand Device Process Library
  • Apple Devices: Temperature control for screen adhesive removal (70℃±5℃), Touch ID calibration procedures
  • Samsung Foldable Screens: Hinge adjustment parameters, UTG glass lamination pressure standards
    Intelligent Repair Recommendations
  • Input failure symptoms
  • automatically suggests potential causes and corresponding repair solutions

Reverse Human Resource Models

A skill matrix and task scheduling system for repair technicians, maximizing workforce efficiency

    Skill Tagging
  • Technician certification levels (Beginner: Screen replacement; Advanced: Motherboard BGA soldering).
  • Dynamic capability assessment
    Intelligent Dispatch System
  • Matches the optimal technician based on fault type and urgency

Training Material Models

A modular training system designed to rapidly enhance technicians' professional capabilities

    AR/VR Practical Training System
  • Simulates real repair scenarios (e.g., iPhone screen separation operations) to reduce material consumption during hands-on practice
  • Includes assessment modules (e.g., completing laptop motherboard diagnostics and submitting a report within 30 minutes)
    Knowledge Base Update Mechanism
  • Synchronizes the latest repair cases (e.g., disassembly precautions for the M4 chip in the new iPad Pro)

Supply Chain Models

An intelligent collaborative network integrating reverse logistics (recycling) and forward delivery (repaired products).

    Bonded Zone Warehouse Optimization
  • Predicts demand for common components
  • Dynamic routing planning (e.g., devices from U.S. customers prioritized for shipment to Mexican transit warehouses to reduce tariffs).
    Green Cycle Management
  • Automatically directs disassembled parts from non-repairable devices into recycling processes
Alexandre Tchogorian