LogiArk

Case Study 01

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

Overview
A global manufacturer of automotive precision components operates a high-throughput warehouse that supports Just-In-Time (JIT) production. The facility faced recurring challenges in maintaining FIFO (First-In-First-Out), avoiding manual inventory errors, and tracking visual product details. To overcome these issues, the company implemented a fully automated warehouse system using Vertical Lift Modules (VLM), integrated barcode scanning and printing, and introduced product image storage for visual traceability.
Wms Software
Problem Statement
Objectives
Solution Overview: VLM + Barcode Printing + Image Storage
Key Features
Barcode Scanning & Printing
Product Image Storage
User-Wise Access & Machine Management
VLM Integration
Error Handling & Diagnostics
Real-Time Andon Displays

Workflow Overview

Inbound Process

  • Products are received at the warehouse with PO/reference numbers.
  • Barcode is automatically generated and printed using a barcode printer.
  • Product images are captured or uploaded via HMI.
  • Items are scanned and entered into the system.
  • VLM stores items using automated FIFO logic.
  • Data is stored in the local inventory database with linked barcode and image.

Inventory Management

  • Real-time inventory is maintained via barcode scanning and sensor data.
  • Operators access visual confirmation of items before picking using stored images.
  • FIFO logic ensures the oldest stock is retrieved first.
  • Inventory checks can be initiated any time without physical stock-taking.

Outbound Process

  • The production system issues a request for components.
  • VLM retrieves parts automatically based on FIFO.
  • Barcode scanning is done at the point of retrieval for validation.
  • Product image is shown on-screen to verify correct part selection.
  • Outbound is confirmed and stock updated in the system database.

Benefits

  • Zero Manual Entry: Barcode and image automation eliminate operator input errors.
  • Visual Identification: Reduces mispicks and part confusion during outbound.
  • Automated FIFO: Ensures aged inventory is consumed first.
  • Faster Operations: Scanning reduces the time for verification and stock movement.
  • Audit Trail: All actions logged with user ID, timestamps, and item images.
  • High System Uptime: With real-time diagnostics and automated error management.
  • Data Accuracy: Live inventory levels with every scan and action.

Lessons Learned

  • Image resolution and part orientation standards must be defined for uniformity.
  • Barcode label quality and placement are critical for scanning reliability.
  • Error handling logic must account for user override scenarios.
  • Ongoing user training is essential for maintenance and exception handling.
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