2019(第四届)汽车Benchmark分析及性能开发技术研讨会

   日期:2019-08-12     来源:汽车材料网    评论:0       [ 进入汽车材料社区 ] [ 汽车材料馆 ]
中国国际胶粘剂及密封剂展
核心提示:随着新能源汽车、自动驾驶等技术的快速发展,汽车产品研发正步入技术革新和产品加速迭代的新阶段。如何合理的定义汽车产品的性能目标、配置策略,设计开发畅销的汽车产品,成为汽车企业快速占领汽车市场的迫切需要解决。因此,以Benchmark产品信息数据为代表的汽车大数据已成为主机厂新产品开发过程中必不可少的数据支撑,汽车大数据服务于汽车研发、生产制造和销售,以及汽车产业运营和维护的全产业链信息。
  一、会议背景/Background
  
  随着新能源汽车、自动驾驶等技术的快速发展,汽车产品研发正步入技术革新和产品加速迭代的新阶段。如何合理的定义汽车产品的性能目标、配置策略,设计开发畅销的汽车产品,成为汽车企业快速占领汽车市场的迫切需要解决。因此,以Benchmark产品信息数据为代表的汽车大数据已成为主机厂新产品开发过程中必不可少的数据支撑,汽车大数据技术可以帮助车企总结过去经验,预判在新车研发未来周期的市场需求走势,提升车企整体运营效率。基于benchmark和行业大数据的产品市场对标(配置、价格)和技术对标(汽车性能参数、结构、轻量化水平、平台化及模块化设计、用材与工艺和供应链体系等)受到越来越高的重视。
  
  With the rapid development of new energy vehicles, automatic driving and others, automotive product development is entering a new phase of technological innovation and product acceleration iteration. How to define the PErformance goals and configuration strategies of automotive products, design and develop the best-selling automotive products, and bECOme an urgent need for auto comPAnies to quickly occUPy the automotive market. Therefore, automotive big data rEPresented by Benchmark product information data has become an indispensable data suPPOrt for the new product development process of the OEM. Automotive big data technology can help OEM to summarize past experience and predict the market in the future cycle of new car development. The trend of demand will improve the overall operational efficiency of the car companies. People are paying more and more attention to product market benchmarking(configuration, price) and technology benchmarking(such as Automotive performance parameters, structure, lightweight level, platform and modular design, materials and processes, suPPly chain systems etc.) based on benchmark and industry big data.
  
  为了进一步加强汽车行业Benchmark技术和方法的交流,中国汽车材料网于2016-2018年连续三届举办汽车benchmark分析及性能开发研讨会,均得到了行业特别是整车企业及大型汽车零部件企业的广泛好评。本年度的会议将于2019年11月7日-8日举办。我们将继续联合汽车研发“数据化决策”推动者——智数汽车®,并将在业内首发汽车研发对标与“数据化决策”系统”。希望促进行业的BM数据库建设、推动轻量化新材料、新工艺和新技术的应用,推动BM等大数据有效支撑汽车正向设计和性能开发能力的提升,以及汽车行业研发的数据化决策。同时结合新能源汽车大数据、智能网络大数据、大数据的分析与处理方法等热点问题展开交流与研讨。
  
  In order to further strengthen the exchange of Benchmark technology and methods in the automotive industry, China Automaterial Website held three seminars on “Automotive Benchmark Analysis and Performance Development Technology” in 2016-2018,all of which were widely praised by the industry, especially for OEM and large auto parts companies. This year's conference will be held from November 7th to 8th, 2019. We will continue to unite with Intel's “Digital Decision-Making” promoter, Zhishu Data®, and will be the first in the industry to develop automotive benchmarking and “data-based decision making” systems. We hope to promote the construction of industrial BM database, and the application of lightweight new materials and new technologies. At the same time, we will also exchanges and discusses hot issues such as new energy vehicle big data, intelligent network big data, big data analysis and processing methods.
  
  二、会议组织/Organization
  
  指导单位/Guiding Unit
  
  中国汽车工程学会/SAE-China
  
  新能源汽车大数据联盟/Big Data Industry Alliance
  
  乘用车联合会/CPCA
  
  安徽省大数据产业联盟/Anhui Big Data Industry Alliance
  
  主办单位/Organizer
  
  中国汽车材料网/ China Automaterial Website
  
  中信微合金化技术中心/ CITIC-CBMM Microalloying Technology Center
  
  中国汽车工程研究院股份有限公司/CACRI
  
  协办单位
  
  智数汽车®/ Zhishu Data®
  
  三、会议时间地点/Time & Place
  
  会议时间/Time:2019年11月7日-8日/November 7th -8th 
  
  会议地点/Place:上海/Shanghai 
  
  四、参会对象/Participants
  
  • 整车厂战略规划、产品规划、产品定义、性能开发和benchmark竞品分析的工程技术人员。
  
  • 整车厂产品研发、智能网络、大数据理、轻量化与重量管理、材料与工艺领域的工程技术人员。
  
  • 从事汽车新材料、新技术、大数据应用、智能和新能源汽车开发的高校和科研院所负责人、工程技术人员、研究生等。
  
  • 汽车材料、零部件、检测机构与设备企业的技术或业务人员。
  
  • 汽车产品设计、工程服务、软件公司的技术与业务人员。
  
  • 从事大数据应用研究、数据挖掘、软件开发和工程服务等单位。
  
   Engineering technicians in strategic planning, product planning, product definition, performance development and benchmarking analysis of OEMs.
  
   Engineering and technical personnel in the field of product development, intelligent network, big data, light weight and weight management, materials and technology.
  
   Heads of universities and research institutes, engineering and technical personnel, graduate students, etc. who are engaged in the development of new materials, new technologies, big data applications, smart and new energy vehicles.
  
   Technical or business personnel of automotive materials, components, testing facilities and equipment companies.
  
   Automotive product design, engineering services, technology and business people in software companies.
  
   • Engaged in big data application research, data mining, software development and engineering services.
  
  五、报告主题/Topics
  
   汽车整车轻量化对标数据库
  
   Automotive vehicle lightweight benchmarking database
  
   汽车零部件正向选材数据系统
  
   Auto parts forward selection data system
  
   基于大数据的汽车研发配置与参数的“数据化决策”方法
  
   Big Data-based Automotive R&D Configuration "Data Decision"
  
   近10年国内市场乘用车整车配置及性能参数趋势分析
  
   Trend analysis of performance parameters of passenger cars in the domestic market in the past 10 years
  
   大数据在汽车智能化领域的应用
  
   Big data in the field of automotive intelligence
  
   新能源汽车大数据的挖掘及应用
  
   Mining and Application of Big Data in New Energy Vehicles
  
   大数据处理、分析及建模方法及在汽车领域的应用
  
   Big data processing, analysis and modeling methods and applications in the automotive field
  
   基于benchmark大数据的汽车研发性能目标方法研究
  
   Research on Vehicle R&D Performance Target Method based on Benchmark Big Data
  
   新能源汽车典型系统及零部件对比分析案例
  
   Typical component materials and lightweight trend analysis of body systems
  
   整车各系统典型零部件材料及轻量化趋势分析
  
   Typical component parts and lightweight trend analysis of chassis system
  
   车企研发大数据管理系统开发与应用
  
   Management system development on car companies research and development big data
  
   汽车benchmark流程及性能开发流程
  
   Process for automotive performance development
  
   基于benchmark汽车零部件用材及重量对标方法
  
   Vehicle component weight calibration method based on benchmark analysis
  
   材料成分分析&性能测试在汽车Benchmark中的应用
  
   Application of material composition analysis and performance test in automotive Benchmark
  
   汽车正向设计性能开发及其对Benchmark技术与数据的需求分析
  
   Automotive Forward Design Performance Development and Analysis of Benchmark Technology and Data Needs
  
  注:以上为会议主要议题,报告内容及专家安排在会前2周确定。
  
  Note: This is the main topic of the meeting. The content of the report and the arrangement of the experts are determined 2 weeks before the meeting.
  
  六、会议费用/Fee
  
  2019年9月20日之前付款2500/人;2300/人(3人及以上团队价格,同一公司)
  
  2019年10月20日之前付款2700/人;2500/人(3人及以上团队价格,同一公司)
  
  2019年10月20日之后,一律按照3200元/人
  
  注:全日制在校学生原价基础上优惠1000元/人,以上包含会议餐饮、资料费和专家授权的PPT资料,费用不含交通费和住宿费。
  
  产品样品展示费:12000元(包含一个约1m长桌展位,背景板统一设计及搭建,两个参会名额)。
  
  Payment 2500/person before September 20; 2300/person (3 or more) 
  
  Payment 2700/person before October 20; 2500/person (3 or more)
  
  After October 20; 3200 yuan/ person. 
  
  Note: In the school full-time students offer 1000 yuan / person. 
  
  Sample Display fee: 12,000 yuan, Includes a booth of about 1m long table, unified design and construction of the background board, two participants
  
  七、会议赞助及报名事宜/Sponsorship and Registration
  
  诚邀行业同仁参与及赞助合作,我们将为赞助合作伙伴提供:冠名支持、会场报告、会刊广告、参会证、资料入袋、产品展示、易拉宝等多种赞助服务,辅助企业提升企业形象、提高产品竞争力、推广企业技术实力,让行业从业人员更加深入地了解企业技术及产品实力,进一步拓展企业业务范围,我们期待您的加入!
  
  We sincerely invite industry colleagues to participate and support cooperation, we will provide for the sponsorship partners: The title, Journal of advertising support, meeting report, participants, data into the bag, product display, Roll Screen......
  
  
  重点企业
  
  会议合作
  
  诚邀行业同仁参与及赞助合作,我们将为赞助合作伙伴提供:冠名支持、会场报告、会刊广告、参会证、资料入袋、产品展示等多种赞助服务,辅助企业提升企业形象、提高产品竞争力、推广企业技术实力,让行业从业人员更加深入地了解企业技术及产品实力,进一步拓展企业业务范围,我们期待您的加入!
  
  报名咨询
  
  联系电话:0551-63857995;18156085929(同微信);17756072694 
  
  联 系 人:张经理
  
  邮   箱:[email protected]
  
  往届回顾
  
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