总台记者当地时间7月2日获悉，德国西门子股份公司收到美国政府的通知称，美国已取消对中国芯片设 计软件的出口限制。根据公司声明，这家德国供应商已恢复中国客户对其软件和技术的全面访问。 来源：央视新闻 ...

据央视新闻报道，当地时间7月2日获悉， 德国西门子股份公司收到美国政府的通知称，美国 已取消对中国芯片设计软件的出口限制。 根据公司声明，这家德国供应商已恢复中国客户对 其软件和技术的全面访问。 本期编辑 黎雨桐 特朗普称美越达成贸易协议！越南所有对美出口商品将面临至少20%关税 比特币，大逆转！超9万人爆仓 "部分车企诋毁歪曲，大可不必"！雷军时隔3个月再直播，信息量很大 SFC 21君荐读 来源丨央视新闻 ...

Core Viewpoint - The U.S. government has lifted export restrictions on chip design software for China, allowing companies like Siemens to restore full access to their technology for Chinese customers [1][3]. Group 1: Export Restrictions and Compliance - The U.S. Commerce Department's Bureau of Industry and Security had previously instructed leading EDA providers to halt shipments to Chinese customers, which included semiconductor design software and related chemicals [4]. - Siemens AG has confirmed that it received a notice from the U.S. government regarding the lifting of these export restrictions, enabling the company to fully resume its operations in China [3][1]. - Cadence and Synopsys, other major EDA software manufacturers, have also been affected by these restrictions, with Synopsys suspending its financial forecasts and operations in China until further clarity is provided [2].

总台记者当地时间7月2日获悉，德国西门子股份公司收到美国政府的通知称，美国已取消对中国芯片设 计软件的出口限制。根据公司声明，这家德国供应商已恢复中国客户对其软件和技术的全面访问。(央 视新闻) ...

Core Viewpoint - Siemens is accelerating its acquisition strategy in the technology sector, highlighted by the recent acquisition of Dotmatics for $5.1 billion, reflecting its ambition in digitalization [1][4]. Group 1: Acquisitions and Financials - Siemens completed the acquisition of Dotmatics, a U.S. life sciences research software company, for $5.1 billion (approximately 365.6 billion RMB) on July 1 [1]. - This acquisition follows Siemens' earlier purchase of Altair for $10 billion (approximately 727 billion RMB), marking it as the second-largest acquisition in Siemens' history [1]. - Siemens' revenue for the fiscal year ending September 30, 2024, was €75.9 billion (approximately 640.4 billion RMB), a 3% year-on-year increase, with a net profit of €9 billion (approximately 759 billion RMB), up 5% [5]. Group 2: Strategic Focus and Market Expansion - The acquisition of Dotmatics will expand Siemens' digital industrial software business and its product lifecycle management (PLM) offerings into the life sciences sector [4]. - Siemens anticipates that Dotmatics will generate over $300 million (approximately 2.15 billion RMB) in revenue by fiscal year 2025, with an adjusted EBITDA margin exceeding 40% [4]. - The acquisition is expected to increase Siemens' total addressable market for digital industrial software by $11 billion (approximately 78.9 billion RMB) [4]. Group 3: Integration and Future Plans - Siemens plans to integrate Dotmatics' scientific intelligence platform with its industrial AI and digital twin technologies to create an end-to-end digital thread from research and development to manufacturing [5]. - The acquisition aligns with Siemens' "ONE Tech Company" initiative, which aims to enhance innovation by deeply integrating software, automation, and AI capabilities [5]. - Siemens has made five significant acquisitions between March and May of this year, including DownStream Technologies, Wevolver, and Excellicon, in addition to Altair and Dotmatics [5].

Core Insights - Digital twin technology is evolving from a technical concept to a core capability in complex manufacturing industries such as aerospace, automotive, and consumer electronics, addressing challenges like product complexity, market speed, and sustainability pressures [1][3] - A significant gap exists between the ideal and reality of digital twin implementation, with only about 8% of companies achieving deep integration of digital twins across product lifecycle and production processes, while 92% remain at a superficial visualization stage [1][3] Group 1: Digital Twin Misconceptions - Many companies mistakenly view digital twins as advanced 3D graphics rather than as a comprehensive system that encompasses design, simulation, verification, optimization, manufacturing, and service [3][8] - The lack of integration leads to isolated systems and fragmented data, hindering the ability to support a closed-loop collaboration from design to manufacturing and operation [1][3] Group 2: Structural Challenges - The traditional manufacturing process often identifies issues late, resulting in rework, delays, and increased costs; digital twins allow for early identification of potential risks through virtual testing [3][4] - Companies face structural challenges in implementing digital twins, as many operate with disconnected material lists (BOMs) across different domains, leading to inefficiencies and errors [8][9] Group 3: Siemens' Approach - Siemens' Nanjing factory exemplifies the successful application of digital twins, where the planning and construction processes were completed within a digital twin environment, allowing for real-time data feedback and continuous performance improvement [4][11] - The concept of a "digital thread" is crucial for integrating tools, data, processes, and systems, enabling seamless collaboration across design, simulation, manufacturing, and service [9][11] Group 4: Execution Engine - To convert data into business value, companies need an "execution engine" to support the entire process of modeling, simulation, testing, and feedback, with Siemens' Simcenter playing a key role in this aspect [14][15] - Simcenter integrates engineering simulation, performance prediction, and virtual validation, allowing for predictive verification and real-time feedback throughout the product lifecycle [15][17] Group 5: Real-World Applications - Digital twins have been successfully applied in various industries, such as battery manufacturing, where optimization led to a 22% improvement in cooling performance and a 50% reduction in design time [17] - In the automotive sector, companies like VinFast have demonstrated rapid adaptability, achieving a production capacity increase to 55,000 units per month through Siemens' digital twin solutions [18] Group 6: Future of Digital Twins - Comprehensive digital twins represent a new production logic and organizational capability, reshaping product design paradigms and defining core competitiveness for future industrial enterprises [19][20] - The transition from "tool stacking" to "system restructuring" signifies that the future belongs to organizations that can leverage data-driven evolution and simulation-supported decision-making [19]

Core Insights - The article discusses the transformative impact of Industry 4.0, particularly through the integration of artificial intelligence (AI) and automation in manufacturing processes [1][2][3] - It highlights the operational capabilities of smart factories, including real-time adjustments, predictive maintenance, collaborative robots, customized operations, and self-adjustment [2][3] Group 1: Industry 4.0 Overview - Industry 4.0 connects physical machines with digital tools, enabling seamless collaboration and disrupting traditional manufacturing practices [2] - AI plays a crucial role in monitoring production processes, ensuring continuous operation, and maintaining optimal efficiency [2][3] Group 2: Practical Applications - Siemens' Amberg factory utilizes AI to predict issues before they occur, reducing quality inspection time by 95% [4] - Tesla's smart factory has reduced unexpected machine failures by over 30% through predictive maintenance and employs AI-driven quality checks to ensure superior vehicle quality [5] - Haier's Hefei factory exemplifies AI's role in transforming factories into intelligent systems, achieving a 58% reduction in defect rates and a 49% increase in efficiency [8] Group 3: Future Prospects - The article suggests that the advancements in AI and automation will continue to evolve, with companies like Toyota experimenting with AI in product design [12] - There are significant investments planned, such as South Korea's $2.2 billion investment in automated factories by 2028, indicating the potential for further innovation in the industry [12]

Core Insights - Siemens Digital Industries Software has launched two new solutions in its Electronic Design Automation (EDA) portfolio aimed at addressing the complexities in the design and manufacture of 2.5D and 3D Integrated Circuit (IC) designs [1][2][4] Group 1: New Solutions Overview - The Innovator3D IC™ solution suite allows IC designers to efficiently author, simulate, and manage heterogeneous integrated 2.5D/3D IC designs, enhancing design yield and reliability [4][5] - Calibre 3DStress software utilizes advanced thermo-mechanical analysis to assess the electrical impact of stress at the transistor level, significantly reducing risks associated with complex IC designs [4][9] Group 2: Features and Capabilities - Innovator3D IC solution suite includes several components: Innovator3D IC Integrator for digital twin construction, Innovator3D IC Layout for substrate implementation, Innovator3D IC Protocol Analyzer for interface compliance, and Innovator3D IC Data Management for design data management [6][7] - Calibre 3DStress provides accurate, transistor-level analysis of thermo-mechanical stresses, enabling early evaluation of chip-package interactions to prevent future failures and optimize design performance [9][10][12] Group 3: Customer Experiences - Chipletz, a fabless AI platform provider, reported that Siemens' technology is crucial for overcoming design challenges in their advanced platform solutions [13] - STMicroelectronics highlighted that Calibre 3DStress has improved reliability and quality while reducing time to market through early design planning and accurate modeling of potential electrical failures [14]

Core Viewpoint - The "2025 China International Engineering Plastics Industry Innovation Awards - New Plastic Awards" aims to promote innovation in the engineering plastics industry by recognizing outstanding companies and their contributions to new materials, processes, and solutions [1]. Group 1: Event Overview - The event focuses on three main awards: "Innovative Materials Award," "Innovative Process Improvement Award," and "Innovative Industry Solutions Award" [1]. - The theme of the event is "Innovation Shapes the Future," emphasizing the importance of innovation in driving the development of the engineering plastics industry [1]. Group 2: Featured Companies and Innovations - Zhejiang Daomo Engineering Materials Co., Ltd. has developed a recycled-grade TECHNYL® 4EARTH® material with 50% recycled content, certified by UL and halogen-free phosphorus flame retardant, successfully applied in Siemens' SENTRON 5SV3 RCCB cover and shell [5][7]. - The application of this material demonstrates a balance between carbon reduction, high-value recycling, and uncompromised performance, contributing to a closed-loop system in the electrical equipment industry [7][10]. Group 3: Industry Challenges and Solutions - The electrical industry faces challenges in finding materials that meet high-performance standards while being sustainable [8]. - Traditional recycled materials often fail to meet the mechanical strength, insulation, and safety standards required for high-precision structural components [8]. - The TECHNYL® 4EARTH® material addresses these challenges by providing verified mechanical strength and insulation performance, suitable for high-precision applications [10]. Group 4: Future Implications - The successful application of recycled-grade materials in high-precision components could extend to other high-voltage scenarios, such as electric vehicle charging modules [10]. - The lifecycle carbon reduction model validated by Siemens offers insights into low-carbon solutions for the electrical equipment sector [10].

《2025胡润制造业外企在华投资30强》榜单。来源：胡润研究院，河北省商务厅 【环球网报道 记者 陈全】6月16日，中国·廊坊国际经济贸易洽谈会举办期间，胡润研究院联合河北省商务厅在廊坊发布《2025胡润制 造业外企在华投资30强》榜单（Hurun Largest Foreign & HK/Macau/Taiwan Manufacturing Companies in China 2025）。该榜单依据企业 最新财年在中国大陆的销售额和员工规模两大指标进行综合评估，列出了制造业领域最具代表性的30家在华外资企业。这是胡润研究 院首次发布该榜单。 | | | | 《2025胡润制造业外企在华投资30强》 | | | | | --- | --- | --- | --- | --- | --- | --- | | | | Company | 总分(自分制) | 主要制造业类别 | | 国家/地区 进入中国时间 | | 1 | 您要猜察 | Hon Hai Precision | 100 | 计算机、 通信和其他电子设备制造业 | 中国台湾 | 1974 | | 2 | 大众汽车 | Volkswagen | 99. ...