制造业数字化

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推动制造业数字化、网络化、智能化 成都新津区破题“智改数转”
Mei Ri Jing Ji Xin Wen· 2025-07-17 06:43
Core Insights - The Sichuan Provincial Development and Reform Commission held a seminar on the evaluation of the business environment for 2024, highlighting the "Smart Transformation and Digital Upgrade" initiative in Chengdu's Xinjin District as a typical case for optimizing the business environment in Sichuan [1] - A themed event titled "Smart Gathering in Xinjin: Empowering Intelligent Manufacturing" was held on June 19, 2023, with over 80 key enterprise representatives participating, showcasing Xinjin's ongoing efforts in manufacturing digitalization [1] Group 1 - Xinjin District has established a "Smart Transformation and Digital Upgrade" task force to address challenges faced by enterprises in their transformation processes [2] - The district has conducted 48 policy interpretation and exchange activities and organized five exhibitions to encourage enterprises to embrace transformation [2] - A new policy package was introduced to support the development of the private economy in Xinjin District, providing substantial incentives for businesses [1] Group 2 - Financial support includes a 10% subsidy on total investment for projects over 1 million yuan upon completion, and one-time rewards for recognized industrial internet pilot platforms [2] - Talent policies have been implemented to assist enterprises in attracting digital talent and selecting quality third-party service providers, benefiting over 60 companies with customized transformation plans [2] - Since 2022, Xinjin District has disbursed over 30 million yuan in related funds, with more than 200 new cloud enterprises and over 100 implemented projects annually [2]
数据越多,判断越难?制造业数字化 “数据陷阱”
3 6 Ke· 2025-07-08 00:42
Group 1 - The article discusses the challenges of data management in the manufacturing industry, emphasizing that despite the abundance of data, useful information is increasingly scarce [1] - It highlights that data cleaning consumes a significant amount of time, with data analysts spending up to 70% of their time on this task [2][8] - The article identifies several reasons for the inefficiency in data management, including disorganized data sources, frequent errors, data silos, and lack of contextual understanding [3][4][6][7] Group 2 - It addresses the misconception in manufacturing digitalization where companies collect excessive data without understanding its relevance, leading to wasted resources [9] - The article suggests that valuable data should support decision-making, explain underlying causes, and be concise and relevant [10][11][12] - It critiques the common practice of data visualization, noting that overly complex charts can obscure important insights rather than clarify them [13][14] Group 3 - The article emphasizes the need for collaboration between data scientists and manufacturing personnel to ensure data analysis reflects real-world conditions [19][20] - It points out that understanding the context of data collection and the variables affecting outcomes is crucial for accurate analysis [22][23][24] - The article concludes that data must be actionable, connecting directly to problem-solving processes and communicated in an understandable manner [25][28][30]
2025制造业数字化博览会在上海举行
Zhong Zheng Wang· 2025-06-19 06:31
作为全球首个聚焦制造业数字化全场景的专业展会,本届展会以"数智破局·生态共生:重构全球制造新 引擎"为主题,来自10个国家和地区的200余家领军企业,约2万名专业观众,依托这一制造业数字化转 型、智能化改造的供需精准链接枢纽,共促制造业高质量发展。 据悉,制造业数字化全球发展中心由上海市工业经济联合会下设上海市制造业创意促进中心会同12家单 位一起发起成立。上海市工业经济联合会会长管维镛介绍,该中心具有多业和多元的特点,成员既有制 造企业,也有研发单位,还有产业园区;既有国有企业,也有中外合资企业,还有民营企业。首批发起 单位共同见证了该中心揭牌。 在管维镛看来,制造业数字化全球发展中心能在赋能新技术新成果运用、促进产业链合作和数字化系统 集成、赋能人才培养和产业组织架构重整、促进行业标准制定和知识产权保护、发挥典型示范作用等六 方面赋能企业制造化数字转型。"我相信这个平台,能赋能企业的数字化智能化和绿色发展,并带来积 极效应。"管维镛说。 现场,德国国家科学技术研究院院士皮特 萨赫逊教授、数智范式会展CEO兼数字经济研究院执行院长 周建良分别受聘为该中心名誉主任、执行主任。 同时身为中国国际智能制造联盟联合 ...