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Industry 4.0

PLM, Value Chain, and Smart Factory

Subject Matter Expert

This course is designed for Mechanical, Manufacturing, and Mechatronics Engineers. Throughout the course, students will obtain an extensive understanding of Product Life Cycle and Value Chain Management, Manufacturing Workflow, and integration into the Smart Factory concept. Participants will gain a holistic understanding of how these elements collaborate to revolutionize traditional production methods, driving us towards a more connected, efficient, and intelligent future.

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This course is designed for Mechanical, Manufacturing, and Mechatronics Engineers. Throughout the course, students will obtain an extensive understanding of Product Life Cycle and Value Chain Management, Manufacturing Workflow, and integration into the Smart Factory concept. Participants will gain a holistic understanding of how these elements collaborate to revolutionize traditional production methods, driving us towards a more connected, efficient, and intelligent future.

The course begins with an overview of Product Life Management (PLM), which manages the whole product life cycle while encouraging collaboration and data consistency. Learners will explore modern technologies such as the Internet of Things (IoT), which is revolutionizing the digital product life cycle by increasing adaptability and responsiveness.

Understanding the relationship between PLM and ERP is critical. Participants will understand how these solutions align corporate processes, allowing for real-time data interchange and informed decision-making. The use of computer-aided technologies improves design and manufacturing processes, increasing efficiency and precision. The backbone of Digital Manufacturing, Value Chain Management (VCM), is also a key focus of this course. Students will gain insights into how VCM improves efficiency and responsiveness within the manufacturing process.

The course also covers Manufacturing Workflow, which introduces concepts like Robotic Process Automation (RPA) and Robot Workflow Management for increased efficiency. Learners will investigate the advantages of digital twins, Automated Guided Vehicles (AGVs), machine health monitoring, Manufacturing Analytics, Smart Material Flow, and the use of mobile applications to increase flexibility.

The Smart Factory concept is the focus point, emphasising real-time connectivity and data sharing facilitated by the Industrial Internet of Things (IIoT), Smart Energy Management, predictive maintenance, and augmented reality. Real-time data optimises logistics and supply chain management, whereas Quality Management 4.0 incorporates digital technology to improve product quality.

By the end of this course, participants will have gained a comprehensive understanding of Product Life Cycle and Value Chain Management, Manufacturing Workflow, and the Smart Factory in Digital Manufacturing. They will be well-prepared to navigate and succeed in today's rapidly evolving industrial environment.

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What's inside

Syllabus

Product Life Cycle and Value Chain Management in Digital Manufacturing
Product Life Cycle Management (PLM) and Value Chain Management (VCM) converge to revolutionize Digital Manufacturing, facilitating seamless coordination across product phases and supply chain operations. PLM serves as the cornerstone, orchestrating design, engineering, and manufacturing processes with digital innovations like AI and IoT enhancing efficiency. Integration with ERP systems fosters real-time data sharing, optimizing decision-making and promoting competitiveness in Industry 4.0.
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Manufacturing Work flow
Digital Manufacturing revolutionizes the manufacturing workflow with automation and advanced technologies like RPA and digital twins, enhancing efficiency and quality management. Automated Guided Vehicles (AGVs) and machine health monitoring further optimize material handling and equipment maintenance, ensuring operational continuity and efficiency. Manufacturing analytics and smart material flow enable data-driven decision-making and real-time tracking, while mobile applications enhance flexibility and accessibility, shaping a more intelligent and responsive production environment.
Smart Factory
The Smart Factory revolutionizes manufacturing with advanced connectivity and technology, enhancing efficiency and agility. Through the Connected Factory, IIoT enables seamless integration and real-time data exchange, while Smart Energy Management and predictive maintenance optimize operations and sustainability. Industrial Remote Monitoring extends operational oversight beyond physical boundaries, ensuring continuity and rapid response, while augmented reality enhances visualization and maintenance procedures, shaping a more efficient and innovative manufacturing landscape.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Understanding the relationship between PLM and ERP is critical. Participants will understand how these solutions align corporate processes, allowing for real-time data interchange and informed decision-making
Explores Product Life Cycle Management (PLM) and Value Chain Management (VCM) converge to revolutionize Digital Manufacturing, facilitating seamless coordination across product phases and supply chain operations
Develops insights into how Value Chain Management (VCM) improves efficiency and responsiveness within the manufacturing process
Teaches concepts like Robotic Process Automation (RPA) and Robot Workflow Management for increased efficiency
Emphasizes real-time connectivity and data sharing facilitated by the Industrial Internet of Things (IIoT), Smart Energy Management, predictive maintenance, and augmented reality
Requires participants to have a strong understanding of Mechanical, Manufacturing, and Mechatronics Engineering concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Industry 4.0: PLM, Value Chain, and Smart Factory with these activities:
Create a Course Resource Repository
Compile and organize course materials, such as lecture notes, assignments, and readings, in a central location for easy reference.
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  • Gather and sort course materials from multiple sources.
  • Organize materials into a logical structure.
  • Create a digital or physical repository for easy access.
Explore Smart Factory Technologies
Find and follow online tutorials or workshops that demonstrate how to implement smart factory technologies, such as IoT, cloud computing, and predictive maintenance.
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  • Identify relevant tutorials or workshops.
  • Follow the instructions and complete the exercises.
  • Apply what you've learned to your own projects or research.
Design a Digital Manufacturing Workflow
Create a detailed plan that outlines the steps and technologies involved in a digital manufacturing workflow for a specific product.
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  • Identify the product and its manufacturing requirements.
  • Research and select appropriate digital manufacturing technologies.
  • Develop a workflow diagram that connects the technologies and processes.
  • Estimate the time and resources needed for each step.
  • Present your workflow to your classmates or a mentor for feedback.
Four other activities
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Utilize Simulation Software for Manufacturing
Practice using simulation software to model and optimize manufacturing processes.
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  • Choose a simulation software package and learn its capabilities.
  • Create a virtual model of a manufacturing process.
  • Run simulations to analyze different scenarios and variables.
  • Interpret the simulation results and identify areas for improvement.
Discuss Industry Case Studies
Engage in peer-led discussions or group projects that focus on real-world examples of digital manufacturing.
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  • Form a study group or discussion forum with classmates.
  • Select industry case studies that demonstrate different aspects of digital manufacturing.
  • Analyze the case studies and share your insights with the group.
Connect with Industry Professionals
Reach out to industry professionals in the field of digital manufacturing and ask for their guidance and insights.
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  • Identify potential mentors through online platforms or professional networks.
  • Craft a personalized message and request their mentorship.
  • Regularly schedule meetings or communication to discuss progress and seek advice.
Contribute to Open Source Projects
Participate in open-source projects related to digital manufacturing, such as contributing to software development or documentation.
Show steps
  • Identify open-source projects that align with your interests.
  • Review the project's documentation and codebase.
  • Make code contributions, write documentation, or engage in discussions.

Career center

Learners who complete Industry 4.0: PLM, Value Chain, and Smart Factory will develop knowledge and skills that may be useful to these careers:

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