INTELLIGENT MANUFACTURING ENGINEERING

The Intelligent Manufacturing Engineering program is an ideal choice for those passionate about new technologies and innovation, aiming to participate in the Industry 4.0 revolution with solutions for automating and optimizing manufacturing processes. If you are interested in developing a career in fields such as healthcare, automotive, energy, and environment, this program offers vast career opportunities.

Program Introduction

Intelligent manufacturing, as a system engineering field, emphasizes the integration of key technologies such as digital design and manufacturing, intelligent equipment, robotics, the Internet of Things (Industrial Ethernet), artificial intelligence, big data, and cloud computing. It involves multiple disciplines including mechanical engineering, control science, and computer science. 

This program aims to cultivate high-quality, application-oriented engineering and technical talents who can adapt to the needs of intelligent manufacturing and sustainable development, keeping pace with future technological progress while nurturing students’ overall development in knowledge, ability, and personality.

Training Objectives

This program aims to cultivate high-level professionals with broad scientific perspectives, solid multidisciplinary knowledge foundations, and strong innovation abilities. 

Students will master interdisciplinary research methods and possess the ability to solve complex problems, enabling them to engage in innovative work in research, industry, and technology development. Upon graduation, they will become leaders in scientific research and technological innovation.

Graduation Requirements

Students are required to study mathematics, natural science fundamentals, mechanical engineering, information technology, artificial intelligence, and other related disciplines, while also developing humanities and professional literacy. 

They will receive basic training as intelligent manufacturing systems engineers and will possess the skills needed for designing, manufacturing, developing technologies, conducting scientific research, and managing related industries. Graduates should acquire the following knowledge and skills:

• Apply mathematics, natural science, and engineering fundamentals to solve complex engineering problems in intelligent manufacturing.
• Use literature retrieval and basic principles of mathematics, natural science, and engineering sciences to analyze and address complex problems in intelligent manufacturing.
• Design solutions for complex engineering problems in intelligent manufacturing, considering factors such as society, health, safety, law, culture, and the environment, while exhibiting innovation.
• Conduct research on complex engineering problems, including experimental design, data analysis, and deriving reasonable conclusions based on scientific principles and methods.
• Develop, select, and use appropriate technologies, resources, modern engineering tools, and information technology tools to solve problems in intelligent manufacturing, including prediction and simulation, and understand the limitations.
• Analyze the impact of engineering practices on society, health, safety, and culture, and recognize the responsibility that comes with the profession.
• Understand and evaluate the impact of intelligent manufacturing engineering practices on the environment and sustainable development.
• Have a strong sense of social responsibility, follow professional ethics, and fulfill responsibilities in engineering practices.
• Be able to undertake individual, team member, and leadership roles in interdisciplinary teams.
• Communicate effectively with peers and the public regarding complex engineering issues in intelligent manufacturing, including writing reports, designing documents, presenting statements, and responding to instructions.
• Have the ability to apply engineering management principles and economic decision-making methods.
• Be aware of lifelong learning, continuously enhancing knowledge and skills to meet the evolving demands of the industry.

Core Courses

• Advanced Mathematics
• University English
• University Physics
• University Chemistry
• Engineering Drawing
• Engineering Mechanics
• Electrical Engineering
• Basic Electronic Technology
• Python Programming
• Introduction to Intelligent Manufacturing Engineering
• Mechanical Design Engineering
• Fluid Transmission and Control
• Fundamentals of Intelligent Manufacturing Technology
• Introduction to Intelligent Manufacturing
• Principles and Applications of Intelligent Controllers
• Engineering Materials and Intelligent Forming Technology
• Fundamentals of Mechanical Manufacturing Technology
• Sensors and Intelligent Detection Technology
• Data Technology Fundamentals
• Innovation and Entrepreneurship Guidance
• Industrial Internet and Cloud Computing
• Intelligent Operations and Health Management
• Intelligent Production Operations Management

Research Directions in Intelligent Manufacturing Engineering

Research directions include but are not limited to:

• Intelligent Manufacturing System Design and Optimization: Research on how to design and optimize intelligent manufacturing systems to improve production efficiency and product quality.
• Robotics and Automation Technology: Development and application of industrial robots, automation devices, and system integration technologies.
• Industrial Internet and Big Data: Research on data collection, transmission, and analysis within the Industrial Internet framework, promoting intelligent decision-making.
• Digital Twin and Virtual Manufacturing: Research on the application of digital twin technology in manufacturing, including virtual simulation and optimization.
• Artificial Intelligence and Machine Learning in Manufacturing: Exploration of AI technologies in predictive maintenance, quality control, and other manufacturing processes.

Degree Awarded

Graduates are typically awarded a Bachelor of Intelligent Manufacturing Engineering degree.

Career Development

Graduates of this program have broad career prospects and can work in the following areas:

• Intelligent Manufacturing Enterprises: Engage in the design, development, implementation, and maintenance of intelligent manufacturing systems.
• Automation Equipment Manufacturing Enterprises: Work in the design, R&D, and sales of intelligent equipment.
• Internet Enterprises: Engage in the development of Industrial Internet platforms and big data analysis.
• Research Institutions: Conduct research in intelligent manufacturing-related fields.
• Government Departments: Participate in the formulation of intelligent manufacturing industry policies and technology promotion.

Related Majors

• Mechanical Engineering
• Mechanical Design Manufacturing and Automation
• Materials Forming and Control Engineering
• Mechanical-Electronic Engineering
• Industrial Design
• Process Equipment and Control Engineering
• Vehicle Engineering
• Automotive Service Engineering
• Mechanical Process Technology
• Micro Electro Mechanical Systems Engineering
• Mechatronic Technology Education
• Automotive Maintenance Engineering Education
• Intelligent Manufacturing Engineering
• Intelligent Vehicle Engineering
• Bionic Science and Engineering
• New Energy Vehicle Engineering
• Additive Manufacturing Engineering
• Intelligent Interaction Design
• Emergency Equipment Technology and Engineering
• Agricultural and Forestry Intelligent Equipment Engineering

Top Universities Offering Intelligent Manufacturing Engineering

1. Xi'an Jiaotong University

2. Harbin Institute of Technology

3. Beijing Institute of Technology

4. Chongqing University

5. Tianjin University

6. Dalian University of Technology

7. Hunan University

8. Shandong University