Length: 2 Days
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Building a Smart Factory with MES and Automation Training by Tonex

This training covers the design and implementation of a smart factory using Manufacturing Execution Systems (MES) and automation. Participants will learn how to integrate IoT, optimize production, and enhance efficiency. The course explores predictive maintenance, real-time data analysis, and automation strategies for process improvement. It provides insights into best practices for achieving end-to-end visibility and reducing operational costs. Through interactive discussions and case studies, attendees will gain the skills to build a connected, intelligent manufacturing environment.

Audience:

  • Manufacturing engineers
  • Process improvement specialists
  • Automation professionals
  • Operations managers
  • IT and OT professionals
  • Industry 4.0 strategists

Learning Objectives:

  • Understand MES and automation fundamentals
  • Learn how IoT enables smart factory operations
  • Explore predictive maintenance integration
  • Optimize processes with real-time data insights
  • Develop strategies for smart factory implementation

Course Modules:

Module 1: Fundamentals of MES and Smart Factories

  • Overview of MES in modern manufacturing
  • Smart factory principles and key enablers
  • Role of IoT in connected manufacturing
  • Real-time data integration for process visibility
  • Understanding automation and control systems
  • Challenges and opportunities in smart factories

Module 2: IoT-Enabled MES Systems

  • IoT architecture in manufacturing environments
  • Enhancing MES with real-time connectivity
  • Data acquisition and processing in IoT-MES systems
  • Cloud and edge computing for smart factories
  • Improving decision-making with IoT analytics
  • Cybersecurity considerations in IoT-driven MES

Module 3: Process Optimization with Automation

  • Automation for efficiency and waste reduction
  • Enhancing production workflows with robotics
  • Role of AI in process optimization
  • Human-machine collaboration in automated factories
  • Reducing manual errors with intelligent automation
  • Case studies on successful automation strategies

Module 4: Predictive Maintenance Integration

  • Importance of predictive maintenance in MES
  • AI-driven analytics for failure prevention
  • Condition-based monitoring in smart factories
  • Real-time asset tracking and equipment health
  • Reducing downtime with predictive strategies
  • Implementing predictive maintenance workflows

Module 5: Data-Driven Manufacturing Decisions

  • Using real-time data for process control
  • AI and ML applications in manufacturing insights
  • Key performance indicators (KPIs) in smart factories
  • Digital twins for manufacturing process simulation
  • Data governance and compliance in industrial settings
  • Practical examples of data-driven decision-making

Module 6: Smart Factory Implementation Strategy

  • Steps for transitioning to a smart factory
  • Roadmap for MES and automation adoption
  • Aligning smart factory goals with business objectives
  • Change management for digital transformation
  • Best practices for scalable smart factory solutions
  • Case studies on successful smart factory deployments

Join this training to master smart factory design with MES and automation. Gain the expertise to enhance manufacturing efficiency and optimize operations. Register now to transform your production environment.

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