Industrial Design Engineering in Manufacturing Training Course
Industrial Design Engineering in Manufacturing Training Course equips learners with cutting-edge knowledge in CAD modeling, additive manufacturing, product lifecycle management, and Industry 4.0 integration, enabling them to transform conceptual ideas into scalable industrial products.
Course Overview
Industrial Design Engineering in Manufacturing Training Course
Introduction
Industrial Design Engineering in Manufacturing is a future-focused discipline that integrates advanced product design, engineering innovation, and smart manufacturing systems to create efficient, sustainable, and market-ready industrial solutions. Industrial Design Engineering in Manufacturing Training Course equips learners with cutting-edge knowledge in CAD modeling, additive manufacturing, product lifecycle management, and Industry 4.0 integration, enabling them to transform conceptual ideas into scalable industrial products.
In today’s competitive global market, industries demand professionals skilled in design optimization, digital manufacturing workflows, prototyping technologies, and automation-driven production systems. This course bridges the gap between engineering design and real-world manufacturing execution, empowering participants to develop high-performance products aligned with modern industrial standards and sustainability goals.
Course Duration
5 days
Course Objectives
- Master industrial product design engineering principles
- Understand advanced manufacturing technologies and smart factories
- Apply CAD/CAM/CAE software in product development
- Develop skills in rapid prototyping and 3D printing
- Learn product lifecycle management (PLM) systems
- Integrate Industry 4.0 and IoT in manufacturing design
- Optimize manufacturing processes for cost and efficiency
- Apply design thinking and innovation methodologies
- Enhance ergonomic and human-centered design skills
- Implement sustainable and eco-friendly manufacturing practices
- Understand materials engineering for industrial applications
- Improve quality control and lean manufacturing systems
- Develop capability in digital twin and simulation technologies
Target Audience
- Mechanical & Industrial Engineering students
- Manufacturing engineers and technicians
- Product design engineers
- CAD/CAM professionals
- Automotive and aerospace industry professionals
- Startup founders in product innovation
- Technical diploma holders in engineering fields
- R&D and innovation department staff
Course Modules
Module 1: Fundamentals of Industrial Design Engineering
- Introduction to industrial design principles
- Design process lifecycle overview
- Engineering design thinking frameworks
- Role of manufacturing in product development
- Tools used in modern design engineering
- Case Study: Development of ergonomic power tool design for industrial workers
Module 2: CAD/CAM & Digital Product Design
- 2D and 3D CAD modeling techniques
- CAM integration for manufacturing
- Parametric and surface modeling
- Design validation using simulation tools
- Software tools (SolidWorks, AutoCAD, CATIA)
- Case Study: Designing a lightweight automotive chassis using CAD optimization
Module 3: Advanced Manufacturing Technologies
- CNC machining and automation systems
- Additive manufacturing (3D printing)
- Laser cutting and precision engineering
- Smart factory systems
- Robotics in manufacturing
- Case Study: Production of customized drone components using 3D printing
Module 4: Product Lifecycle Management (PLM)
- Stages of product lifecycle
- Digital PLM systems
- Design iteration and version control
- Collaboration in engineering teams
- Data-driven product improvement
- Case Study: PLM implementation in consumer electronics manufacturing
Module 5: Materials & Manufacturing Engineering
- Engineering materials selection
- Composite materials and alloys
- Material testing and performance analysis
- Sustainable material usage
- Failure analysis in product design
- Case Study: High-strength bicycle frame development using composite materials
Module 6: Industry 4.0 & Smart Manufacturing
- IoT in manufacturing systems
- Cyber-physical production systems
- Digital twin technology
- AI-driven production optimization
- Real-time data monitoring
- Case Study: Smart factory automation in automotive assembly line
Module 7: Rapid Prototyping & Innovation
- Prototyping techniques and tools
- 3D printing workflows
- Design iteration cycles
- Innovation and product validation
- User testing and feedback integration
- Case Study: Prototype development of medical assistive device for rehabilitation
Module 8: Lean Manufacturing & Quality Engineering
- Lean manufacturing principles
- Six Sigma quality control
- Waste reduction techniques
- Process optimization strategies
- Continuous improvement systems
- Case Study: Lean transformation in consumer appliance manufacturing plant
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
- Interactive lectures and presentations.
- Group discussions and brainstorming sessions.
- Hands-on exercises using real-world datasets.
- Role-playing and scenario-based simulations.
- Analysis of case studies to bridge theory and practice.
- Peer-to-peer learning and networking.
- Expert-led Q&A sessions.
- Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.