Overview

Intelligent manufacturing mainly involves the intelligence of the design process, intelligent optimization of processing techniques, informatization of manufacturing process management, and remote and agile product services. The main industries and industrial chains it connects to include automated equipment technology, industrial control software and hardware research and development and application, industrial interconnection/Internet of Things technology, intelligent detection technology, and logistics technology. This forms an industrial chain that is "balanced between software and hardware, system integration, and interconnection" with key equipment for intelligent manufacturing as the foundation, system integration as the platform, and equipment application as the core. It involves manufacturers of key equipment such as high-end equipment and industrial robots, automatic production line system integration enterprises, and production enterprises that apply automatic production lines and other equipment in manufacturing fields such as automobiles and 3C.

The Intelligent Manufacturing Engineering major is engaged in work such as intelligent manufacturing workshop planning and production line design, process design and technical specification implementation, production line integration and operation debugging, network collaborative manufacturing, intelligent manufacturing system monitoring and diagnostic optimization. The job positions it connects to include five major types: intelligent equipment and production line development, intelligent equipment and production line application, intelligent production control, equipment and production line intelligent operation and maintenance, and intelligent manufacturing technical support and services. These positions have high requirements for the complexity of intelligent manufacturing talents, requiring a comprehensive knowledge of machinery, electrical engineering, network information, computers, etc., and possess various abilities such as installation and debugging of intelligent manufacturing production lines, production line operation and maintenance, secondary development of specialized software, and production site management.

Training Objectives

This major is mainly aimed at the Pearl River Delta and Guangdong-Hong Kong-Macao Greater Bay Area, cultivating individuals who are comprehensively developed in moral, intellectual, physical, aesthetic, and labor aspects. They should have a sense of national belonging, healthy personality, international perspective, craftsmanship, and innovation ability. They should master the basic theories and professional skills of Intelligent Manufacturing Engineering, possess a certain scientific mindset, humanistic qualities, professional ethics, team spirit, and social and environmental evaluation abilities, as well as good comprehensive qualities. They should proficiently master advanced digital and intelligent design, manufacturing, and operation and maintenance techniques, and possess strong problem-solving and system integration abilities in engineering. They are expected to engage in the design and manufacturing of intelligent manufacturing-related equipment and products, technology development, engineering applications, production control, and technical services in related fields of intelligent manufacturing.

Knowledge and Abilities

Engineering knowledge and skills: Master basic scientific knowledge such as mathematics and physics, as well as professional knowledge in intelligent manufacturing engineering, and apply them to solve complex engineering problems in the field of intelligent manufacturing engineering.

Problem analysis skills: Able to apply basic scientific knowledge such as mathematics, physics, and the basic principles of engineering science to identify, express, and analyze complex engineering problems in the field of intelligent manufacturing engineering through literature research, to obtain effective conclusions.

Design/development solution skills: Able to design solutions for complex engineering problems in the field of intelligent manufacturing engineering, design intelligent manufacturing systems, components or intelligent manufacturing process flow solutions that meet specific needs, and demonstrate innovative thinking in the design process, considering social, health, safety, legal, cultural, and environmental factors.

Research skills: Able to conduct applied research on complex engineering problems in the field of intelligent manufacturing engineering based on scientific principles such as mechanical engineering and control engineering, including designing experiments, analyzing and interpreting data, obtaining effective experimental data, and drawing reasonable and effective conclusions through information synthesis.

Modern tool usage skills: Able to develop, select, and use appropriate technologies, resources, modern engineering tools, and information technology tools for complex engineering problems in the field of intelligent manufacturing engineering, including predicting and simulating complex engineering problems in the field of intelligent manufacturing engineering, and understanding their limitations.

Engineering and social skills: Based on technical standards, intellectual property rights, industrial policies, and regulations in the field of intelligent manufacturing engineering, able to clearly understand the impact of different social cultures on engineering activities, reasonably analyze and evaluate the impact of engineering practices and solutions to complex engineering problems in the field of intelligent manufacturing engineering on society, health, safety, law, and culture, and clarify the responsibilities that should be borne.

Environmental and sustainable development skills: Able to understand and evaluate the impact of engineering practices aimed at complex engineering problems in the field of intelligent manufacturing engineering on environmental and social sustainable development.

Professional literacy skills: Have humanities and social science literacy, social responsibility, able to understand and abide by engineering ethics and norms in engineering practice, and fulfill responsibilities.

Individual and team skills: Have a team spirit, able to take on the roles of individual, team member, and leader in a multidisciplinary team.

Communication skills: For complex engineering problems in the field of intelligent manufacturing engineering, able to communicate and exchange effectively with industry peers and the public, including writing reports, designing presentation slides, making statements, clearly expressing or responding to instructions, and possessing a certain international perspective, able to communicate and exchange in a cross-cultural context.

Project management skills: Understand and master the principles and decision-making methods of engineering project management, and apply them in a multidisciplinary environment.

Lifelong learning skills: Have the awareness of independent learning and lifelong learning, continuously learn to meet the needs of constantly updating technology, and adapt to social development.

Features of Intelligent Manufacturing Engineering

This major aligns with the industries in the Greater Bay Area, following the OBE concept of "student-centered, output-oriented, and continuous improvement" to construct a talent training program and curriculum system closely aligned with industrial needs, with collaborative training between government, schools, and enterprises.

Intelligent manufacturing is a key development direction of the national strategy "Made in China 2025". It is a new compound engineering major that deeply integrates artificial intelligence and industrial manufacturing technology.

It has a teaching echelon consisting of professors, senior engineers, and young and middle-aged key teachers, with 80% of teachers holding doctoral or master's degrees.

It is equipped with a provincial experimental teaching demonstration center, a provincial intelligent manufacturing experimental teaching center, 10 comprehensive experimental training laboratories with a total area of over 14,000 square meters, and more than 1,500 sets of various experimental training equipment.

It has mutual credit recognition with multiple universities such as Purdue University Northwest and Edith Cowan University, offering 2+2 and undergraduate-master's continuous education cooperation modes.

Core Courses

Engineering drawing, engineering mechanics, basic mechanical design, electrical and electronic technology, engineering materials, fundamentals of intelligent manufacturing technology, mechanical engineering testing technology, innovative design of intelligent products, digital twin technology and applications, intelligent equipment and system integration, intelligent manufacturing execution and management systems (MES/ERP), etc.

Practical Teaching

On-campus centralized practical teaching links: image processing and machine vision course design, industrial robot application programming internship, intelligent production line control comprehensive internship, intelligent manufacturing execution system internship, intelligent manufacturing engineering comprehensive internship.

Enterprise practical teaching projects: online independent learning expansion module courses (courses built using high-quality enterprise resources), professional ethics education, regional (industry) or enterprise research, professional (production) internships, graduation internships, graduation theses (designs).

Teaching Conditions

The college where the major is located has a Mechanical Engineering Center and an Intelligent Equipment Experimental Teaching Center. The Intelligent Equipment Experimental Teaching Center has established school-enterprise cooperation research centers with five enterprises, equipped with intelligent robot laboratories, robot offline programming and simulation laboratories, industrial robot production unit laboratories, and intelligent manufacturing production line laboratories. The college adheres to the integration of industry and education, and collaborates with schools and enterprises to educate people. More than 50 enterprises have signed school-enterprise cooperation agreements.

Employment Prospects

Graduates of this major are targeted at enterprises in the Guangdong-Hong Kong-Macao Greater Bay Area and Guangdong region. They can engage in the design, development, manufacturing, application, maintenance, management, and marketing of intelligent manufacturing systems and intelligent equipment and devices in the field of intelligent manufacturing and related fields. They can also work in intelligent product design and manufacturing, intelligent equipment fault diagnosis, maintenance and repair, intelligent factory system operation, management, and system integration. With the implementation of the national "intelligent manufacturing" development strategy and the massive transformation and upgrading of the manufacturing industry, there is a sharp increase in demand for talents in intelligent manufacturing engineering, and graduates have good employment prospects.

Teaching Faculty

Among the teaching team, there is 1 teacher with a doctorate degree, and 100% of the team holds a master's degree or above. There is 1 professor and 1 associate professor. A group of young and middle-aged key teachers has grown rapidly, among which 3 have been rated as young and middle-aged key teachers at the school level. In the past four years, 39 teaching, research, and professional scientific research papers have been published, and 10 teaching reform and scientific research projects at various levels have been undertaken.