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Development of an Integrated Warehouse Data Aggregation and Automation Management System
  1. case
  2. Development of an Integrated Warehouse Data Aggregation and Automation Management System

Development of an Integrated Warehouse Data Aggregation and Automation Management System

cshark.com
Manufacturing
Supply Chain
Logistics

Identifying Challenges in Warehouse Operations and Data Management

The client faces difficulties in managing warehouse processes due to disparate machinery and stations, resulting in inefficient data access, suboptimal process visibility, and manual request handling, which hamper operational efficiency and real-time decision-making.

About the Client

A mid to large-sized manufacturing company specializing in furniture production that requires streamlined warehouse operations and automation integration.

Goals for Enhancing Warehouse Operations and Data Insight

  • Implement a centralized application for real-time data collection from all warehouse stations and devices.
  • Create visual representations of warehouse layout with integrated conveyor and machinery status mapping.
  • Enable users to submit operation requests and track tasks in real time for improved process coordination.
  • Facilitate report generation and data analysis for machine utilization and material distribution to optimize internal workflows.
  • Ensure the system is modular, scalable, and ready for deployment across multiple facilities.

Core Functional Capabilities for Warehouse Data and Automation Management

  • Aggregated data dashboard showing machine status (running, idle, out of service) and material quantities at each station.
  • Warehouse layout visualization with interactive placement of conveyors and equipment reflecting actual operational state.
  • Request submission panel for moving products/materials, including task definition and status tracking.
  • Real-time tracking of processing tasks and subtasks with progress updates.
  • Reporting module enabling customized reports on machine usage and material flow for process optimization.

Technology Stack and Architectural Approach

Web-based frontend framework (e.g., React, Angular)
Backend server with RESTful API architecture
IoT integration capabilities for real-time device data ingestion
Cloud infrastructure for scalability and data storage

External Systems Integration for Data and Automation

  • Industrial machinery and station data sources via APIs or IoT protocols
  • Warehouse management systems (WMS) for inventory data
  • Real-time messaging queues for event-driven updates

Performance, Security, and Scalability Standards

  • System should support concurrent access from multiple users with minimal latency
  • High system availability with 99.9% uptime
  • Secure data transmission and access control mechanisms
  • Scalable architecture to accommodate future growth across multiple warehouses

Expected Business Benefits from the Warehouse Automation System

The implementation of this integrated warehouse management and automation system is projected to enhance operational visibility, reduce manual efforts, and optimize resource utilization. It aims to improve process efficiency, facilitate data-driven decision-making, and support expansion to multiple locations, ultimately leading to increased productivity and cost savings.

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