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.
The SmartCIM4.0 Computer Integrated Manufacturing training system is a complex interconnected manufacturing process for designed for education. The flexible system includes automated production workstations, automated storage (ASRS), and automated assembly and quality control stations all connected by a continuous-loop conveyor that implements a real flexible manufacturing process that produces real products.
OpenCIM 4.0 is managed by OpenMES, a central management control station that communicates with all the components via a communication network.
Using Smart Sensors, IoT, PLCs, and cutting edge software technology, the system implements advanced Industry 4.0 concepts teaching students the skills and competencies they require in today’s Smart Industry.
Real Manufacturing Process
* Uses real industrial hardware * Full size equipment from end to-end * Manufacturing line produces real products
Multi-Station Flexible Design
* Industrial conveyor system links workstations
* Machining, welding, assembly, storage, additive, quality control or 3rd party components
* Industry 4.0 sensors, networking and integration
Industry 4.0 Enabled
* Smart sensors report real-time status
* Multi-tiered Ethernet and IIoT
network
* Central management, cloud connectivity and
data analysis integrated
* Aligned with Industry 4.0 certification
Sustainable Training
* Ongoing support to ensure long-term viability * Train-the Trainer professional development * Curriculum maintenance to keep pace with industry change * World class support team
Program Sustainability
Education programs need to be relevant 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
Integrated System
Data visibility and accessibility enable flexible production, automated processes, advanced analytics and predictive maintenance.
- Smart sensor network monitors equipment, raw inventory, WIP and finished products
- PLC driven production cell automation
- OpenMES management station incorporating design, planning and monitoring tools
Predictive Maintenance
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
- Smart sensor monitoring warns of equipment condition changes or failures
Certification
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
- NIMS ITM and NIMS Industry 4.0
Industrial Components
Real industrial components and products are integrated into the cell to deliver training and industry 4.0 readiness on real equipment
- Yaskawa Robotics
- Cognex Vision Sensors
- Siemens PLM
- Allen Bradley PLC
- Miller Welding
Networking
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 smart sensors
- Curriculum providing theory and hands on network setup and operation
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.
Multi-Vendor Integration
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
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
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 like smart sensors, the extensive use of communications, advanced integration, and modern software and computing have changed manufacturing.
Intelitek Industry 4.0 Curriculum offer learners expertise in the broader ecosystem as well as new Industry 4.0 technology innovations.
Curriculum for Industry 4.0:
- Introductory to advanced curriculum focused on Industry 4.0 concepts and technology
- Provide detailed knowledge of how Industry 4.0 will affect roles and work environments
- Students learn the benefits of smart maintenance, operational efficiency, remote monitoring and flexible mass production
Intelitek Smart Series curriculum augment our advanced manufacturing programs introducing students to Industry 4.0 theories and technology
- Instructor led or self paced learning programs include instructor aids, class management, assessments and hands-on labs
- Tiered program for technician, operator and integrator level students
- Specialized Industry 4.0 curriculum augment existing advanced manufacturing training programs
- Aligned to Industry 4.0 Certification
Level 1
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.
Course Outline
- 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.
Course Outline
- 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
Introduction to Networking and Cybersecurity is an in-depth look at communication exchange in modern industry, from the Internet to the Industrial Internet of Things (IIoT) and Cloud technologies. The course covers key networking principles, and concentrates on the structure and importance of industry-focused cybersecurity exploring threats that manufacturing entities have to contend with and combat.
Course Outline
- IP Networking Basics
- Communication Protocols
- Cloud Computing
- Components of the Manufacturing Network
- Securing Digital Manufacturing Operations
- Cyber Threats & Basic Cybersecurity Practices
- Essential Cyber System Technologies
- Malware & Malware Protection
- Identifying Cyber Attacks & Cyber Breach Response
- IIoT Cybersecurity Basics
- Cloud Cybersecurity Basics
- 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.
Course Outline
- 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
Level 2
This course explores how technologies interact with each other and with industrial components to create efficient, productive, and profitable enterprises. Emphasizing use cases, the course investigates digital threads, flexible manufacturing, and asset tracking.
Prerequisite: Intro to Industry 4.0 (lvl 1)
Course Outline
- Digital Factory Tour
- The Digital Thread
- VR and AR in Manufacturing
- Smart Sensors in Manufacturing
- Cyberphysical Systems
- Flexible Manufacturing Systems
- Additive Manufacturing
- Maintenance 4.0
- Inventory and Asset Management
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)
Course Outline
- 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
The course explores cybersecurity concepts and investigates the ways that cyberattacks can occur and be prevented in industrial control systems and IIoT networks.
Prerequisite: Intro to Cybersecurity (lvl 1)
Course Outline
- Cybermonitoring Tools
- Firewalls
- Switch Protection
- Antivirus Installation and Configuration
- Managing Ports and Services
- Cryptography
- IoT Vulnerabilities, Attacks, and Countermeasures
- Secure Design of IoT Devices
- Operational Security Lifecycle
- Identity and Access Management Solutions for the IoT &
- Mitigating IoT Privacy Concerns
- IoT Compliance Monitoring
- Cloud Security for IIoT
- Incident Response and Forensic Analysis
- Performing steps to Establish Persistence in a Compromised network or Device
This course explores the different types of software that are essential for a production company’s success in the automated commercial and industrial landscape.
Course Outline
- Software Technology Overview
- APS – Advanced supply chain & planning systems
- MES – Manufacturing Execution Systems
- ERP – Enterprise Resource Planning systems
- Scheduling Software
- Cryptography
- System Visualization Tools for VR, AR and Digital Twinning
- Quality Control Software
- Artificial Intelligence Software
- Business Intelligence Tools
- Data Modeling Software
Level 3
Data collection, storage, and analytics play a massive role in the manufacturing industry. The vast amounts of data generated by production processes and the potential involved in the use of this data creates substantial economic opportunities for businesses that take advantage of them. Advanced Data Science for Industry 4.0 explores how the proper use of data can help manufacturing enterprises significantly improve their bottom line.
Course Outline
- Data Warehousing
- Data Mining
- KPIs of Big Data
- One Metric That Matters
- Data Driven Innovation
- AI, Machine Learning, and Deep Learning
- Course Project
High level look at the Industry 4.0 Smart manufacturing in industry and the trends and use cases for technology
Course Outline
- 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.
Course Outline
- 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
