"智能工厂梯度培育包含基础级、先进级、卓越级、领航级四个层级，此前，我们已先后有5个单位入选 卓越级智能工厂，涵盖高端发动机、船舶动力、农业装备等多个核心业务板块。"潍柴智能前沿技术负 责人李爽介绍，此次入选的"基于数智精益模式的高端发动机智能工厂"，全面利用新一代信息技术与核 心制造环节深度关联，围绕自然语言处理、数值优化、多媒体处理等人工智能技术方向开展研发，赋能 场景落地解决方案。 在同期举办的2025世界智能制造博览会上，潍柴通过AI研发、AI制造、AI销服、AI产品解决方案、AI 动力五大板块，全方位展示AI在各业务场景的深度应用。 在展会现场，潍柴数智化业务规划负责人吉德志告诉记者，为强化技术支撑，潍柴组建起1000人的专业 数智化技术团队，建成业务、数据、技术和AI中台，推动AI在各类业务场景的深度应用，目前应用比 例近80%，实现了从单点智能化改善到全环节精益制造，推动高端发动机制造向"零缺陷"迈进。 本报南京11月27日电 今天，在南京启幕的2025世界智能制造大会上，工信部公布首批领航级智能工厂 培育名单，潍柴"基于数智精益模式的高端发动机智能工厂"入选，成为中国装备制造业智能化转型的标 ...

Core Insights - The first batch of 15 leading smart factories has been officially announced, marking a significant leap in China's smart manufacturing from digitization and networking to intelligence [1] - The penetration rate of artificial intelligence technology in these smart factories has increased significantly, with the new leading factories achieving over 70% penetration [1] - The average R&D cycle for products in leading smart factories has been reduced by 38%, showcasing the substantial value of smart manufacturing [1] Group 1: Leading Smart Factories - The 15 leading smart factories represent key industries such as equipment manufacturing, raw materials, electronic information, and consumer goods [1] - A notable example is an automotive production facility in Guangxi, which has adopted an "island-style" production method, allowing for flexible assembly and improved efficiency [2] - The automotive factory has reduced its product development cycle from 420 days to 240 days and the product introduction cycle from 40 days to 15 days, achieving a 30% increase in manufacturing efficiency [2] Group 2: Technological Advancements - Automation in the automotive production has increased from 30% to 50%, and the flexibility in production has expanded from 5 to 13 vehicle models [3] - In Shandong, an engine manufacturing company has integrated AI and lean management, achieving near-zero defects in high-end engine production and improving production efficiency by over 10% [3] - The use of digital virtual platforms has allowed for rapid simulation and optimization of over 80% of tests, shortening the R&D cycle by approximately 20% [3] Group 3: Future Development - China aims to continue promoting the digital transformation of the manufacturing sector and develop smart manufacturing further [4] - A robust tiered system of smart factories has been established, including basic, advanced, excellent, and leading levels, with plans for ongoing development towards more flexible, intelligent, and green factories [4] - Future initiatives will encourage leading factories to share advanced experiences and solutions, enhancing collaboration across the supply chain and focusing on breakthroughs in key technologies [5]

Core Insights - The report from CITIC Securities indicates a decline in both profit and revenue growth rates for industrial enterprises in October, primarily due to a decrease in domestic and external demand [1] - State-owned enterprises maintained positive profit growth, while foreign-funded enterprises experienced the most significant profit decline [1] - The combination of declining revenue profit margins and a slowdown in industrial value-added growth contributed to the decrease in profit growth for industrial enterprises, highlighting insufficient demand and the lack of a steady recovery in profit margins despite PPI adjustments [1] Industry Analysis - There is a notable divergence in profit growth across industries, with midstream and downstream sectors experiencing a rapid decline in profit growth, suggesting that upstream price increases continue to squeeze profits in these sectors [1] - Conversely, the equipment manufacturing and high-tech manufacturing sectors are showing a positive profit growth trend [1] - Looking ahead, due to the high base of industrial enterprise profits from the same period last year, future profit performance may face pressure; however, emerging industries benefiting from structural booms, such as semiconductors and AI, are expected to maintain resilience in profits [1]

Core Viewpoint - The Tianjin Municipal Committee emphasizes the development of advanced manufacturing, focusing on high-end, intelligent, and green directions, while promoting new industrialization and upgrading traditional industries [1] Group 1: Advanced Manufacturing Development - The plan aims to enhance competitiveness in industries such as petrochemicals, automotive, equipment manufacturing, and metallurgy through intelligent and green manufacturing [1] - There is a strong push for the large-scale application of new technologies, products, and scenarios, particularly in emerging industries like biomedicine, new energy, and aerospace [1] Group 2: Future Industry Layout - The strategy includes exploring viable business models, market regulation rules, and risk-sharing mechanisms to promote sectors like biomanufacturing, low-dimensional materials, and hydrogen energy [1] - The initiative aims to establish new economic growth points through innovations in brain-machine interfaces, embodied intelligence, and advanced computing [1] Group 3: Consumer Goods Manufacturing - The plan also focuses on actively developing the terminal consumer goods manufacturing sector and cultivating advanced manufacturing brands [1] - There is an emphasis on improving quality infrastructure and standard systems, alongside strengthening environmental and safety regulations [1]

Core Insights - Shaanxi Province's Xianyang City, specifically Chunhua County, is focusing on high-quality development through initiatives aimed at enhancing project promotion, improving the business environment, and upgrading the capabilities of officials [1] Group 1: Industry Development - Chunhua County is leveraging its characteristic industries, particularly "fruit, livestock, vegetables, mushrooms, and buckwheat," to foster integrated development that benefits the economy and the populace [2] - The county plans to develop 100,000 acres of standardized planting bases for the leading industry, the Ruixue apple, aiming for an industrial chain output value exceeding 6 billion yuan within five years [2] - The buckwheat industry has achieved an output value surpassing 1 billion yuan, with initiatives to promote local brands and enhance tourism through cultural events [2] Group 2: Financial Support and Infrastructure - China Bank is actively supporting Chunhua's characteristic industries by providing funding for brand building and market expansion, as well as organizing promotional events [3] - Chunhua County has been approved as a provincial economic development zone, with an investment of 939 million yuan to improve infrastructure and create a conducive environment for businesses [4] - A 100 million yuan industry revitalization fund has been established to support technological innovation and attract high-tech enterprises [4] Group 3: Rural Revitalization - The county has integrated 174 million yuan to implement 145 projects aimed at upgrading infrastructure in rural areas, with a projected 8.2% increase in per capita disposable income for rural residents by 2025 [5] - China Bank is facilitating educational and technological support in rural areas, contributing to the establishment of educational bases and e-commerce brands [5]

Core Insights - The 2025 World Intelligent Manufacturing Conference was held in Nanjing, Jiangsu Province, focusing on "Digital Intelligence Driving New Quality Leadership" [1] - The conference established a new National Intelligent Manufacturing Expert Committee and released initiatives for national leading intelligent factories and the top ten technological advancements in intelligent manufacturing for 2025 [1] Industry Developments - China's intelligent manufacturing has transitioned from "point breakthroughs" to "system collaboration," with over 7,000 advanced and 500 excellent intelligent factories established nationwide, and the total industry scale exceeding 4.5 trillion yuan [1] - The first batch of 15 leading intelligent factories was unveiled, marking a critical leap from digitization and networking to intelligence in China's manufacturing sector [2] Company Highlights - Nanjing Steel Group was recognized for its personalized smart factory for special steel, aiming to enhance its transformation through AI and digital twin technologies [2] - SAIC-GM-Wuling received unanimous approval for its "Smart Island Manufacturing System," which allows for efficient production of 24 vehicle models through a flexible production system [2] - Hikvision's smart factory for IoT perception products has facilitated digital collaboration with over 2,000 suppliers and 800,000 channel partners, enhancing digitalization across various industries [3] - Zoomlion was acknowledged for its shared manufacturing smart factory for excavators, achieving global firsts in several manufacturing processes [3] - Haier's central air conditioning interconnected factory leads the home appliance sector by providing AI-driven, customized manufacturing solutions [3] Additional Recognitions - Other companies recognized as leading intelligent factories include Baosteel, Weichai Power, Longfly Fiber, Gree Electric, Shanghai Aerospace Equipment Manufacturing Factory, and others, contributing to the global intelligent manufacturing landscape [4]

Group 1 - The 2025 World Intelligent Manufacturing Conference was held in Nanjing, China, focusing on "Digital Intelligence Driving New Quality Leadership" and featuring 12 specialized activities [1] - The conference highlighted the establishment of the new National Intelligent Manufacturing Expert Committee and the release of the first batch of national leading intelligent factory initiatives [1] - China's intelligent manufacturing has achieved significant milestones, with over 7,000 advanced-level and 500 excellent-level intelligent factories established, and the total scale of intelligent manufacturing equipment and industrial software exceeding 4.5 trillion yuan [1] Group 2 - The first batch of 15 leading intelligent factories was unveiled, marking a critical transition from digitalization and networking to intelligence in China's manufacturing sector [1][2] - The leading intelligent factory initiative, launched in 2025, aims to explore new manufacturing forms and create globally competitive benchmarks [2] - Notable companies like Nanjing Steel and SAIC-GM Wuling were recognized for their innovative intelligent manufacturing systems, showcasing significant advancements in personalized customization and production efficiency [2][3] Group 3 - Hikvision's intelligent factory focuses on large-scale personalized customization, achieving digital collaboration with over 2,000 suppliers and 800,000 channel partners [3] - Zoomlion's intelligent factory project achieved three global firsts in excavator manufacturing, demonstrating advanced shared manufacturing capabilities [3] - Haier's central air conditioning interconnected factory leads the home appliance industry by providing AI-driven, customized manufacturing solutions [3][4] Group 4 - Additional companies recognized as leading intelligent factories include Baosteel, Weichai Power, and Gree Electric, contributing to the development of world-class benchmark factories [4] - The "Leading Action Plan" aims to enhance industry consensus and collaborative efforts, promoting China's solutions and wisdom in global intelligent manufacturing [4]

每经记者｜刘艳美 每经编辑｜杨欢 解读：2024年，唐山GDP突破万亿元大关，全国"万亿俱乐部"城市由此扩容至27座。同期温州、徐州、大连GDP总量均超过9000亿元，都将破万亿的时间设 在今年。 其中，温州2024年GDP达到9719亿元，年末常住人口985.2万人。今年初，温州高调提出2025年全力冲刺"双万"城市目标——即GDP过万亿、常住人口达千 万。 在外界看来，GDP突破万亿和人口达到千万是衡量城市经济能级的重要指标。温州冲刺"双万"城市，不仅是经济规模的突破，更是城市能级、产业升级、社 会民生和区域竞争力的全面提升。 今年以来，温州经济保持稳健增长，前三季度GDP增速分别达到6.7%、6.0%、6.1%，，增速已连续十个季度不低于6%。 工业经济是温州经济增长的重要支柱。今年1—10月，温州规上工业增加值同比增长10.1%，较前三季度提升0.1个百分点，增速继续领跑全省。其中，五大 传统产业和五大战新产业增加值同比分别增长11.4%、12.4%。 眼下，温州距离GDP万亿目标只剩临门一脚。10月17日，温州市委常委会召开会议指出，四季度是决战决胜的攻坚季，要奋战四季度、夺取全年胜，确保高 质量完 ...

2024年及2025年1月至9月，高端支架公司实现营业收入5.51亿元、5.44亿元；实现净利润1336.06万元、 27.12万元。公司表示，2025年因液压支架价格下降，叠加财务费用增加、项目改造房产税支出，导致 利润下滑。 兖矿能源是华东地区最大的煤炭生产商和中国最大的煤炭出口企业之一，主要从事煤炭生产、洗选加 工、煤炭销售和铁路运输,煤化工，电力等业务，在国内煤炭行业中处于龙头地位。公司拥有自营铁路 网和现代化煤炭水运码头，京沪、兖石、新兖铁路，京沪、京福高速公路穿越矿区。得天独厚的区位和 交通优势，使公司成为东北亚市场，中国华东、华南市场最具竞争力的煤炭供应商之一。 兖矿能源表示，截至本公告日，除日常关联交易外，过去12个月内公司与控股股东山东能源及其下属公 司发生的关联交易累计为5次，金额为155.15亿元，其中未达到披露标准的关联交易为2次，金额为3.57 亿元。 该公司称，本次交易可规避同业竞争、落实发展战略。高端支架公司与东华重工业务同质化，构成同业 竞争关系，本次交易完成后，能有效解决同业竞争，并将加速装备制造业一体化布局，助推煤矿智能化 建设进程，为煤矿安全高效开采与高质量发展提供有力支 ...

Core Insights - The first batch of 15 leading smart factories in China was unveiled at the World Intelligent Manufacturing Conference, marking a significant leap from digitalization and networking to intelligence in manufacturing [1][2] - These leading smart factories represent the highest level of the smart factory cultivation system and are distributed across key industries such as equipment manufacturing, raw materials, electronic information, and consumer goods [1] Industry Development - Since the launch of the smart factory cultivation initiative by six departments including the Ministry of Industry and Information Technology, over 7,000 advanced smart factories and more than 500 excellent smart factories have been established in China [1] - The newly established 15 leading smart factories are expected to lead a comprehensive transformation in innovation paradigms, production methods, and supply chain forms [1] Company Highlights - Notable achievements from the selected leading smart factories include: - XCMG improved global customization capabilities through AI-driven R&D and manufacturing, reducing order delivery cycles by 55% [2] - SAIC-GM-Wuling pioneered a new smart island manufacturing model, achieving a comprehensive equipment utilization rate of 98.8% [2] - Baosteel enhanced the efficiency of the entire process of silicon steel through AI-driven predictive manufacturing, resulting in a more than 50% reduction in finished product inventory [2] - Yangtze Optical Fibre constructed an integrated process system for rods and cables, shortening product development cycles from 12 months to 3 months [2] - The "Leading Action Plan" aims to deepen collaborative efforts and create world-class benchmark factories, contributing Chinese solutions and wisdom to global smart manufacturing development [2]