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  • Overview
    • Introduction
      • Future Features
    • License & Disclaimer
    • APIM Architecture
      • Production Deployments and Capacity
      • Functions
      • Integration
    • Key Concepts
      • API Group
      • API Scope
      • API Client
      • End-to-End Workflow Combining API Group, API Scope, and API Client
        • Scenario: API Management for an E-commerce Platform
    • Support
    • Glossary
    • Scenarios
      • Financial Industry
        • Transforming Financial Services with digiRunner API Management
        • Redefining Financial Data Migration with digiRunner API Management Platform
      • Manufacturing Industry
        • Enabling Smart Manufacturing with Seamless API Integration and Automation via digiRunner
        • Streamlining Global Operations with API Management via digiRunner
      • Medical Industry
        • Enhancing Healthcare Data Integration and Security with digiRunner API Management
        • Revolutionizing Healthcare Interoperability with digiRunner’s Advanced API Framework
      • Insurance Industry
        • Modernizing Insurance Services with digiRunner API Management
        • Modernizing Insurance with digiRunner—Bridging Legacy Systems and Microservices
      • Government and Public Services
        • Empowering Open Government Services with digiRunner: A Mission for Integration and Transformation
        • Streamlining Public Sector Innovation via digiRunner: Driving Citizen-Centric Digital Transformation
  • Get Started
    • Installing digiRunner API Management
      • SMTP Configuration
    • Registering Your First APIs with digiRunner
    • Client Authorization and Calling APIs
    • Rate Limiting
    • Proxy Caching
    • Load Balancing
    • Sandbox Testing
    • VIP Gateway Priority Settings
    • JWE Certificate
  • Configuring IP Whitelisting via IP Binding
  • Most common use cases
    • Obtaining API Keys and Calling APIs
    • API IP Diversion
    • Viewing Real-time API Logs
    • Enabling APIs and No Auth in Batches with API Imported
    • Role-Based Access Management within a Hierarchical Structure
    • Simplified OIDC Login with Predefined Organizational Frameworks
    • Resetting User Password and Confirmation Email for Admin Console User
  • Guide
    • AC User Management
      • Users
      • My Profile
      • Roles
      • Role Mapping
      • Organization
      • Role & txID
      • Delegate AC User
      • AC OAuth 2.0 IdP
      • AC LDAP IdP
      • AC MLDAP IdP
      • AC API IdP
    • Development Mode
      • Function Management
      • Rtn Code Management
      • Embedded Function Management
    • Client Management
      • API Client
      • API Group
      • API Scope
      • Authentications
      • Security Level
      • GTW OAuth 2.0 IdP
      • GTW LDAP IdP
      • GTW API IdP
      • GTW JDBC IdP
      • Client Export/Import
    • API Management
      • API List
      • API Registry
      • API Test
      • API Modify Batch
    • Monitor & Alert
      • digiRunner Server
      • Alert Settings
    • Reports
      • API Calls
      • API RESP distribution
      • API Avg. RESP Time
      • API GTW traffic
      • Bad Attempt Report
    • Certificate Management
      • JWE Cert. List
      • JWE Cert. Management
      • TLS Cert. List
      • TLS Cert. Management
    • Application Forms
      • API Key
      • Applications
      • Approval Flow Settings
    • System Information
      • API Key Approval History
      • Scheduled Tasks
      • Recurring Tasks
      • Mail Log
    • System Configs
      • Setting
      • Items
      • Files
      • Customer Setting
      • Online Console
      • WebSocket Proxy Management
      • Static Webpage Reverse Proxy
      • RDB Connection
      • Mail Template Export/Import
  • API Integration Guide
    • Using Token for Authentication and Authorization
      • OpenID Connect (OIDC) Mode
      • Client Credentials Mode
      • Password Mode
    • Using X API Key for Authentication and Authorization
      • Applying for X API Key
      • Obtaining X API Key
      • Calling APIs Registered in digiRunner with X API Key
    • Using API Key for Authentication and Authorization
      • Applying for API Key
      • Obtaining API Key and Secret Key
      • Calculating the Signature and DGRK
      • Calling APIs Registered in digiRunner with API Key
    • Using HTTP Basic and OAuth for Authentication and Authorization
      • Calling APIs Registered in digiRunner with Basic Auth
      • Calling APIs Registered in digiRunner with No OAuth
    • Token Lifecycle Management Mechanism
      • Applying Refresh Token
      • Token Revocation
      • Token Introspection
    • JWS/JWE Integration
      • JWS Workflow
      • JWE Workflow
      • Exchanging Public Keys
      • Generating Certificate
      • Operating with JWS
      • Operating with JWE
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On this page
  • Context and Objectives
  • Key Challenges
  • Diverse Data Ecosystems
  • Manual Processes
  • Inconsistent Quality Management
  • Fragmented Operations
  • Scalability Limitations
  • Solutions Powered by digiRunner
  • IoT-Driven Automation
  • Advanced API Management
  • Comprehensive ERP Integration
  • Supplier and Customer Integration
  • Digital Quality Management
  • Accelerating R&D
  • Transformative Impact
  • Operational Optimization
  • Enhanced Quality Control
  • Real-Time Insights
  • Collaborative Innovation
  • Future-Ready Scalability
  • Conclusion

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  1. Overview
  2. Scenarios
  3. Manufacturing Industry

Enabling Smart Manufacturing with Seamless API Integration and Automation via digiRunner

In the rapidly evolving high-tech manufacturing sector, a leading global electronics manufacturer faced challenges integrating fragmented systems, streamlining workflows, and scaling operations efficiently. By adopting digiRunner’s API management platform, they bridged the gaps between legacy systems, IoT devices, and ERP solutions to build a fully interconnected smart factory. digiRunner empowered them to achieve real-time data exchange, automated quality control, and optimized production at scale, delivering a competitive edge in the Industry 4.0 era.

Context and Objectives

High-tech manufacturers are advancing toward smart factory principles to achieve:

  1. Streamlined Operations: Real-time monitoring and automation for increased efficiency.

  2. Enhanced Interconnectivity: Seamless integration of IoT devices, ERP systems, and enterprise applications.

  3. Quality and Scalability: Consistent product quality while accommodating growth.

  4. Improved Collaboration: Strengthening supplier and customer relationships through digital platforms.

Key Challenges

Diverse Data Ecosystems

Heterogeneous data formats and systems impede integration.

Manual Processes

Reliance on manual workflows slows production and decision-making.

Inconsistent Quality Management

Lack of digital traceability hinders compliance and inspections.

Fragmented Operations

Disconnected platforms for suppliers, customers, and orders create inefficiencies.

Scalability Limitations

Legacy systems fail to handle increasing production demands effectively.

Solutions Powered by digiRunner

digiRunner delivers purpose-built solutions to address these challenges and meet manufacturing goals:

IoT-Driven Automation

  • Integrates IoT devices to enable automated material handling, predictive maintenance, and unmanned operations.

  • Provides real-time dashboards for monitoring device health, production progress, and issue resolution.

Advanced API Management

  • Offers a multi-layered API gateway with role-based access controls to secure manufacturing processes.

  • Groups APIs by function—such as production, logistics, and quality—for streamlined governance and usability.

  • Supports traffic throttling, ensuring stability during high-demand periods.

Comprehensive ERP Integration

  • Connects financial accounting, inventory tracking, and production scheduling in real time.

  • Standardizes ERP interactions via API orchestration, enabling smooth, consistent data exchanges.

Supplier and Customer Integration

  • Centralizes supplier management platforms with CRM systems to enable efficient order tracking and procurement.

  • Provides APIs for virtual showrooms and customer portals, enhancing engagement and visibility.

Digital Quality Management

  • Automates inspection workflows with traceable production histories to ensure compliance and quality.

  • Utilizes analytics tools to identify quality trends and proactively implement predictive improvements.

Accelerating R&D

  • Uses containerized microservices to streamline simulation testing and product development pipelines.

  • Employs big data analytics for forecasting trends and accelerating innovation cycles.

Transformative Impact

Through digiRunner, manufacturers achieve:

Operational Optimization

Automation and streamlined APIs reduce downtime and improve efficiency.

Enhanced Quality Control

Digitized workflows ensure consistent standards and regulatory compliance.

Real-Time Insights

Predictive analytics and synchronized data improve decision-making.

Collaborative Innovation

Integrated platforms enhance relationships with partners and customers.

Future-Ready Scalability

digiRunner’s architecture supports growth and technological evolution.

Conclusion

digiRunner equips high-tech manufacturers to overcome operational inefficiencies, ensuring a seamless transition to smart factory models. By delivering specific solutions that enhance automation, connectivity, and quality, digiRunner empowers organizations to stay ahead in Industry 4.0, achieving innovation, efficiency, and scalability.

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Last updated 4 months ago

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