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Digital Track-and-Trace System for Manufacturing Workflow Optimization
  1. case
  2. Digital Track-and-Trace System for Manufacturing Workflow Optimization

Digital Track-and-Trace System for Manufacturing Workflow Optimization

dreamix.eu
Manufacturing
Supply Chain
Logistics

Identifying Challenges in Manual Manufacturing Processes and Compliance

The client faces manual, paper-based processes for tracking materials, waste, labor, and production across multiple shifts, leading to errors, inefficiencies, and difficulty achieving industry certifications. They require a digital solution to streamline data entry, improve traceability, ensure compliance, and optimize supply chain transparency.

About the Client

A mid-sized manufacturing company specializing in cables, wires, and related products, aiming to enhance operational efficiency and compliance.

Goals for Implementing an Integrated Manufacturing Execution System

  • Increase overall manufacturing productivity and reduce defect rates.
  • Enhance traceability of components and materials to support ISO certification and quality standards.
  • Reduce manual data entry errors and labor hours through automation.
  • Improve inventory accuracy and real-time supply chain visibility.
  • Enable data-driven decision-making via actionable analytics.
  • Strengthen security through role-based access and on-premise hosting.

Core Functional Requirements for the Manufacturing Digital Platform

  • Employee and role management with secure user access and permissions.
  • Manual data input interfaces with hardware terminals to reduce errors.
  • Barcode and QR code generation and scanning for component traceability.
  • Real-time data synchronization with ERP system for inventory and production management.
  • Manufacturing and warehouse process integration for inventory control.
  • Data analytics dashboard providing insights into productivity, waste, and energy consumption.
  • Hosting infrastructure designed for on-premise deployment to ensure security and flexibility.

Preferred Technologies and Architectural Approach

Java Web Frameworks for backend development
Angular for frontend interfaces
PostgreSQL database for data storage
On-premise server infrastructure for hosting and security

External Systems and Data Integration Needs

  • ERP system API for seamless data exchange
  • Barcode and QR code printing hardware
  • Warehouse management systems
  • Analytics and reporting tools

Key Non-Functional Requirements for System Reliability and Security

  • System scalability to support increased production data volume
  • High performance for real-time data processing and analytics
  • Robust security measures including role-based access control
  • Data integrity and error prevention in manual and automated data entry
  • System uptime targets consistent with manufacturing operations

Projected Business Outcomes from the Digital Transformation

Implementation of the integrated MES is expected to boost productivity, decrease defect rates and product losses, improve production predictability, enhance supply chain transparency, enable faster shipping, and provide clearer cost structures. These improvements aim to result in higher product quality, operational efficiency, and compliance readiness, ultimately supporting the client’s growth and certification goals.

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