智能制造管理 / MBA in Intelligent Manufacturing Management
针对传统制造行业的管理体系在当今复杂社会环境，特别是在大数据及人工智能技术日新月异、行业竞争更加剧烈的“新内卷时代”。
In today’s complex social environment, especially in the rapidly changing era of big data and artificial intelligence technology, and with more intense industry competition, the management system for traditional manufacturing industries is facing challenges.
如何以数字化和智能化管理的转型升级作为突破口发现制造型企业或者行业的各种弊端和不足，进行生产过程的管理创新的理论研究并结合工作实践的落地运用，成为传统制造行业管理领域的数字化转型创新型高端人才。
How to use the transformation and upgrading of digital and intelligent management as a breakthrough point to discover various drawbacks and shortcomings of manufacturing enterprises or industries, conduct theoretical research on management innovation in the production process, and combine it with practical work to become high-end talents in the field of digital transformation and innovation in traditional manufacturing industry management.
三、项目课程 / project course
课程简介：ISTEC巴黎高商智能制造管理MBA方向硕士项目围绕制造行业管理体系智能化转型升级的产业相关政策、行业发展趋势、新兴科学技术等方向来剖析制造一行业管理体系的数字化智能化迭代，围绕智能制造管理逻辑原理、关联流程分析、科技应用、体系创新等一内容来指导各行业或各企业通过对传统制造行业管理体系的优化迭代建立新的核心竞争力；围绕企业的生产管理、数字化转型和数智化管理创新等方面来提升企业生产管理体系的运营效率。
Course Introduction: ISTEC Paris High Business Intelligent Manufacturing Management MBA Master’s Program analyzes the digital and intelligent evolution of the manufacturing industry management system, focusing on industry related policies, industry development trends, emerging scientific and technological directions for the intelligent transformation and upgrading of the manufacturing industry management system. It guides various industries or enterprises to establish new core competitiveness through the optimization and iteration of traditional manufacturing industry management systems, focusing on the logical principles of intelligent manufacturing management, related process analysis, technological applications, system innovation, and other content; Improve the operational efficiency of the enterprise’s production management system around aspects such as production management, digital transformation, and digital management innovation.
1、技术管理 / Technical management
2、智能制造系统 / Intelligent manufacturing system
3、可持续制造管理 / Sustainable Manufacturing Management
4、数字化转型与制造业服务 / Digital Transformation and Manufacturing Services
5、供应链数字化转型 / Digital transformation of supply chain
6、精益运营与管理 / Lean Operations and Management
7、数字化与人力资源管理 / Digitalization and Human Resource Management
8、制造业管理体系技术变革与创新研究 / Research on Technological Transformation and Innovation of Manufacturing Management System
9、区块链技术及元宇宙概念应用实践及发展趋势 / Application Practice and Development Trends of Blockchain Technology and Metaverse Concept
10、智能制造管理方向论文工作坊 / Workshop on Intelligent Manufacturing Management
11、论文答辩指导 / Thesis defense coaching
工业领域需求大 ，智能制造管理技术旨在提高生产效率并降低成本。由此，在工业领域，对于掌握智能制造管理的专业人才的需求十分大。因此，职业前景较好。
There is a high demand in the industrial field, and intelligent manufacturing management technology aims to improve production efficiency and reduce costs. Therefore, in the industrial field, there is a great demand for professional talents who master intelligent manufacturing management. Therefore, the career prospects are promising.
互联网行业也有就业机会，智能制造管理涉及到大数据、人工智能等领域，而这些技术也广泛应用于互联网行业。因此，智能制造管理专业毕业生也可以在互联网行业中找到就业机会。从事互联网行业的智能制造管理专业毕业生主要会从事与数据分析、人工智能算法等相关的职位。
There are also employment opportunities in the Internet industry. Intelligent manufacturing management involves big data, artificial intelligence and other fields, and these technologies are also widely used in the Internet industry. Therefore, graduates majoring in intelligent manufacturing management can also find employment opportunities in the Internet industry. Graduates majoring in intelligent manufacturing management in the Internet industry are mainly engaged in positions related to data analysis, artificial intelligence algorithms, etc.
技能需求高，智能制造管理专业是一个涉及多种技术的交叉学科，其中包括计算机科学、机械设计、传感器技术等。因此，对于想要从事智能制造行业的人来说，需要具备不同技能和知识。只有持续地学习和发展，才能具有竞争力，并获得更好的职业发展机会。
The demand for skills is high, and the Intelligent Manufacturing Management major is an interdisciplinary field that involves various technologies, including computer science, mechanical design, sensor technology, etc. Therefore, for those who want to engage in the intelligent manufacturing industry, they need to possess different skills and knowledge. Only through continuous learning and development can one become competitive and gain better career development opportunities.
