SmartCIM4.0 is a modular and flexible Computer Integrated Manufacturing training environment for educating students in the principles and technologies of Industry 4.0. Using a real production line, students learn all aspects of Industry 4.0 manufacturing
The SmartCIM4.0 solution is designed to introduce CTE and engineering classrooms to industrial automation and the industry applications used in modern plants and to train skilled workers for next generation jobs.
The solution takes a system based approach, SmartCIM4.0 deals not only with individual components of industrial training, but also with networking and communications, systems integration and the essential employability skills students need in modern industry.
Integration of cutting edge technology systems and collaboration is the core of Industry 4.0. The solution is a modular and sustainable, and aligned to industry programs with curriculum options to match local industry needs & micro certifications for specific fields that align to advanced industry level certifications. The platform is the basis for training and certification and includes software, curriculum, testing, train-the-trainer, and the support required to develop a long term education program.
Education programs need constant maintenance and educators need ongoing support to ensure long-term viability of the program.
- Train-the Trainer professional development on-site
- Curriculum and content maintenance to keep pace with ongoing industry change
- World class support team to ensure day-to-day operation is smooth.
Automation and data sharing enable flexible production, automated processes, advanced analytics and predictive maintenance.
- PLC driven workcell and production cell automation
- Sensor network monitors equipment, raw inventory, WIP and finished products.
- Management station incorporating ERP, MES, design, planning and monitoring tools
Real-time monitoring and analysis of manufacturing equipment enables preventative maintenance to ensure maximum system uptime
- System monitoring and service tracking
- Product quality control identifies optimal performance
- Sensor monitoring warns of equipment condition changes or failures.
Curriculum aligned with industry certification initiatives and with industry partners includes:
- Yaskawa Certified Robot Operator
- Yaskawa Certified Robot Programmer
- Cognex Certified Vision Programmer
- Siemens Certified RobotExpert/Process Simulate Programmer
Intelitek has integrated industry leaders into the cell to deliver solutions for CTE training and industry 4.0 that encompass real equipment
- Yaskawa Robotics
- Cognex Vision Sensors
- Siemens PLM
- Allen Bradely PLC
- Miller Welding
Cloud & Cyber-Security
The internet offers access, monitoring, analysis and visibility internally and externally. At the same time, access is subject to intrusion or hacking and should be secured.
- Cloud connectivity for remote access and data backup
- Curriculum includes Cyber-Security awareness and tools for cyber monitoring
Partnering with Industry
Partnered with leading industry vendors micro-certifications and aligned to the ARM Industry 4.0 blueprint, as well as other well
known credentials like NIMS.
The Intelitek blended learning solutions with e-learning content, simulation and augmented reality, and industrial training equipment, allows students to gain the skills and credentials they need to advance in their careers.
A core element of smart factories is the ability for all components and machines to be monitored and communicate with each other. SmartCIM4.0 includes:
- Ethernet network and Internet communications
- IIoT including wired and wireless – OPC-UA, MQTT, Bluetooth, RFID, and more
- Curriculum provides theory and cell includes hands on network setup and operation
Flexible, bespoke design allows other vendor product integration and enables custom design for local needs
- 3rd party vendor industrial equipment can easily be integrated
- Customize solution for local industry and preferred equipment
Industry 4.0 Curriculum
Smart manufacturing and Industry 4.0 are a huge shift in how industrial processes work. While the core skills are similar, the introduction of new advanced technologies, the extensive use of communications, advanced integration, and modern software and computing capabilities changes the environment significantly.
Technicians, operators, engineers and managers need to upskill and be proficient in additional areas of expertise specific to Industry 4.0.
Intelitek Industry 4.0 Curriculum offer learners expertise in the broader ecosystem as well as new Industry 4.0 technology innovations.
- Introductory to advanced curriculum focused on Industry 4.0 concepts and technology
- Provides students detailed knowledge of how Industry 4.0 will affect their role and work environment
- Students will understand and learn the benefits of smart maintenance, operational efficiency, remote monitoring and flexible mass production.
Intelitek Smart Series curriculum augment existing advanced manufacturing programs introducing students in different roles to Industry 4.0 theories and technology.
- Tiered program for technician, operator and integrator level students
- Specialized curriculum can augment existing advanced manufacturing training programs
- Instructor led or self paced learning programs include instructor aids, class management, assessments and hands-on labs
- Aligned to emerging Industry 4.0 Certifications
Introduction to Industry 4.0 offers a window into the impact of the Fourth Industrial Revolution and its accompanying technologies on the modern manufacturing industry. Using examples and analogies from real-world enterprises, the course explores Industry 4.0 concepts, processes, and technologies, and testifies to how these components interconnect together in order to grow the manufacturing industry of the future.
- What is Industry 4.0?
- Technologies that Drive Industry 4.0
- Challenges for Industry 4.0
- Quality 4.0
- Supply Chain 4.0
- Data Standardization
- Internet and Ethernet
- The Internet of Things
- Industrial Control Systems and IIoT
- Big Data
- Automation & Software Technologies
- VR, AR, and AI
- Maintenance 4.0
- Flexible Production
- Maturity Models for Industry 4.0
Introduction to the Internet of Things and Connectivity focuses on the vast network of smart sensors and devices and their impact on the manufacturing world. This course also explores topics related to the interconnection of IoT and industrial devices, such as SCADA systems, cloud computing, edge computing, and machine vision systems.
- Introduction to Sensors, Smart Sensors, and Actuators
- Introduction to PLCs
- IoT and IIoT
- IIoT Opportunities, Risks, and Challenges
- The Potential of Connectivity in IIoT
- How a Sensor Connects to the Cloud
- Introduction to Edge Computing
- SCADA Systems
- Vision Systems
- Architecture of Smart Manufacturing Systems
- Introduction to Communication Protocols
- Tracking Methods
Overview of networking and cyber-security in IT / OT systems, including network fundamentals, identification of cyber threats and cyber-protection.
- Introduction to Digital Manufacturing
- Basics of Data Networking
- Cyber Awarence
- Cyber Attacks
- IIoT Cybersecurity Basics
- Cloud Security Basics
- Federal Cybersecurity Resources
The curriculum explores the modern world of data, including its collection, processing, management, visualization, and ultimately, its uses. The course also delves into big data implementation in cutting-edge manufacturing, and machine learning, predictive analytics, modeling, simulation, improvement of processes and progress indicators.
- Introduction to Big Data
- Characteristics of Big Data and Dimensions of Scalability
- Intelligent Decision Making and Getting Value Out of Big Data
- Data Collection and Management
- Algorithms, Computing, and Descriptive Statistics
- Data Analysis
- Visualization of Data
- Predictive Analytics and Modeling
- Machine Learning
- Introduction to KPIs
- Improving KPIs with Big Data
- Database Fundamentals
- Data Warehousing
- Data Mining
- Cloud Computing for Big Data
- Data-Driven Innovation
Advanced course covering the Architecture and Protocols of Industry 4.0 systems
Prerequisite: Intro to Industry 4.0 (lvl 1)
- Components & architecture of I4.0 systems
- Integrated systems approach
- Diversified Manufacturing techniques
- CyberPhysical Systems (Cloud, Simulation, Twinning, VR/AR, Digital Twinning)
- Digitization (Smart sensors, IoT, Asset/ Inventory tracking)
Advanced IIoT and Connectivity for Industry 4.0 focuses on the vast network of smart sensors and devices that is the Internet of Things (IoT) and how such systems are integrated and deployed in today’s industrial environments.Building on the introductory course, Advanced IIoT and Connectivity delves deeper into the workings of industrial operation technologies (OT) and information technologies (IT).
Prerequisite: Intro to IoT and Connectivity (lvl 1)
- Smart Sensors – Part 1
- Smart Sensors – Part 2
- PLC Functions and Applications
- Machine to Machine (M2M) Communication
- Cloud Connectivity – Part 1
- Cloud Connectivity – Part 2
- SCADA Systems – Part 1
- SCADA Systems – Part 2
- Implementing IoT
- Design Modularity in Smart Factories
- Industrial IoT Reference Architecture (IIRA)
- IoT Protocols and Standards – Part 1
- IoT Protocols and Standards – Part 2
- Material Identification – Part 1
- Material Identification – Part 2
- Driving Manufacturing with IIoT
Curriculum with Hands-on lab for Cybersecurity focused on how to Identify, Protect, Detect, Respond, & Recover from cyber threats in Industry 4.0 systems
Prerequisite: Intro to Cybersecurity (lvl 1)
- Recognizing breaches & use of Cyber monitoring tools
- Basic Firewall Protection Settings
- Basic Switch protection settings
- Virusses and Malware
- Secure provisioning of operating systems, software, and configuring security
- Lab includes: Configuration and test of firewall, switch
- Installation of software & security s/w
- Performing a DoS Attack
- Hacking a file (flag) in a Remote Network
- Performing steps to Establish Persistence in a Compromised network or Device
Overview of the Software technologies and applications that transform traditional production lines into Smart Production lines.
- Industry 4.0 Software Tools and Digital technologies
- Digital information management
- System Management ERP – Enterprise Resource Planning systems
- MES – Manufacturing Execution Systems
- APS – Advanced supply chain & planning systems
- System visualization tools Virtual reality
- Augmented Reality
- Digital Twinning/Simulation apps
- AI – Artificial Intelligence and Machine Learning
Advanced course covering Data Science concepts and ways to benefit from the info that is collected from a Smart factory system.
- Data warehousing
- Data mining
- Data driven innovation (DDI)
- One Matrices That Matter (OMTM)
- KPIs of Big Data
- Deep Learning & Machine Learning, AI
- Working with Analytics Kit – lab
- I. – Deep learning tools – Lab
High level look at the Industry 4.0 Smart manufacturing in industry and the trends and use cases for technology
- Industry 4.0 – The super infrastructure for the future of manufacturing (market trends)
- Requirements for a factory to be Industry 4.0 (technology trends)
- Industry 4.0 and Business processes (Flexible Mass Production) Real time business processes
- Enhanced customer experience
- Competitive industrial production
- Customized mass production
- Maintaining production (improved reliability/quality)
A look at industry 4.0 from the business perspective. The course will look at the benefits and justifications for manufacturing.
- Outcomes of Industry 4.0
- Customer satisfaction
- Information transparency
- Customized mass production
- Intelligent decision making
- Asset management
Use cases examples (Case Studies)
- Business with industry 4.0
- Business 4.0 (business efficiency)
- Supply chain 4.0
- Quality 4.0
- Maintenance 4.0