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Case Study 04

Lean Store/VLM Integration with Biometric Access & BOM-Driven Outbound

Overview
A global manufacturer of high-precision industrial components operating multiple warehouses supporting lean production. The firm required a robust solution for inventory automation, FIFO compliance, and traceable operator interactions — all while enhancing space utilization and reducing manual dependency.

Problem Statement

Objectives

Lean Store/VLM Automation with Biometric Login & BOM-Based Outbound
Key Features
Biometric Machine Access
BOM-Driven Outbound Workflow
Automated Storage with FIFO
Weight Validation
User Access Management
Visual Management System

Workflow Overview

Biometric Login

  • Operator scans fingerprint at the terminal.
  • System verifies access rights and logs in.
  • All actions are tracked under the operator’s ID.

Inbound Storage

  • New material is scanned and assigned to a tray based on FIFO slot availability.
  • Tray opens automatically; operator places material.
  • Weight sensor confirms expected weight.
  • System logs transaction and updates inventory.

Outbound via BOM

  • Production job sends a BOM request.
  • System parses required materials and quantities.
  • Lean Store/VLM retrieves trays with oldest stock matching BOM.
  • Operator picks; weight is validated automatically.
  • Inventory is updated in real-time; transaction logged under operator ID.

Benefits

  • Highly Secure Access: Biometric login prevents unauthorized access.
  • Automated BOM Fulfillment: No manual part picking, reducing production delays.
  • Complete FIFO Compliance: Eliminates expired or skipped stock.
  • Smart Validation: Prevents errors using weight-based verification.
  • Real-Time Audit Trails: Tracks who did what, when, and why.
  • Space and Labor Optimization: Reduced costs, improved speed, and space.
  • Fault Traceability: Machine errors linked to specific users — faster resolution.

Lessons Learned

  • Ensure BOM data is clean and synchronized for automated picking.
  • Train operators on biometric use and error alert responses.
  • Weight tolerances should be defined based on part types for optimal validation.
  • Analyze machine logs regularly to preempt performance dips.
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