【鋁道網(wǎng)】一、會(huì)議背景/Background
隨著新能源汽車(chē)、自動(dòng)駕駛等技術(shù)的快速發(fā)展,汽車(chē)產(chǎn)品研發(fā)正步入技術(shù)革新和產(chǎn)品加速迭代的新階段。如何合理的定義汽車(chē)產(chǎn)品的性能目標(biāo)、配置策略,設(shè)計(jì)開(kāi)發(fā)暢銷(xiāo)的汽車(chē)產(chǎn)品,成為汽車(chē)企業(yè)快速占領(lǐng)汽車(chē)市場(chǎng)的迫切需要解決。因此,以Benchmark產(chǎn)品信息數(shù)據(jù)為代表的汽車(chē)大數(shù)據(jù)已成為主機(jī)廠(chǎng)新產(chǎn)品開(kāi)發(fā)過(guò)程中必不可少的數(shù)據(jù)支撐,汽車(chē)大數(shù)據(jù)技術(shù)可以幫助車(chē)企總結(jié)過(guò)去經(jīng)驗(yàn),預(yù)判在新車(chē)研發(fā)未來(lái)周期的市場(chǎng)需求走勢(shì),提升車(chē)企整體運(yùn)營(yíng)效率。基于benchmark和行業(yè)大數(shù)據(jù)的產(chǎn)品市場(chǎng)對(duì)標(biāo)(配置、價(jià)格)和技術(shù)對(duì)標(biāo)(汽車(chē)性能參數(shù)、結(jié)構(gòu)、輕量化水平、平臺(tái)化及模塊化設(shè)計(jì)、用材與工藝和供應(yīng)鏈體系等)受到越來(lái)越高的重視。
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.
為了進(jìn)一步加強(qiáng)汽車(chē)行業(yè)Benchmark技術(shù)和方法的交流,中國(guó)汽車(chē)材料網(wǎng)于2016-2018年連續(xù)三屆舉辦汽車(chē)benchmark分析及性能開(kāi)發(fā)研討會(huì),均得到了行業(yè)特別是整車(chē)企業(yè)及大型汽車(chē)零部件企業(yè)的廣泛好評(píng)。本年度的會(huì)議將于2019年11月7日-8日舉辦。我們將繼續(xù)聯(lián)合汽車(chē)研發(fā)“數(shù)據(jù)化決策”推動(dòng)者——智數(shù)汽車(chē)®,并將在業(yè)內(nèi)首發(fā)汽車(chē)研發(fā)對(duì)標(biāo)與“數(shù)據(jù)化決策”系統(tǒng)”。希望促進(jìn)行業(yè)的BM數(shù)據(jù)庫(kù)建設(shè)、推動(dòng)輕量化新材料、新工藝和新技術(shù)的應(yīng)用,推動(dòng)BM等大數(shù)據(jù)有效支撐汽車(chē)正向設(shè)計(jì)和性能開(kāi)發(fā)能力的提升,以及汽車(chē)行業(yè)研發(fā)的數(shù)據(jù)化決策。同時(shí)結(jié)合新能源汽車(chē)大數(shù)據(jù)、智能網(wǎng)絡(luò)大數(shù)據(jù)、大數(shù)據(jù)的分析與處理方法等熱點(diǎn)問(wèn)題展開(kāi)交流與研討。
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、會(huì)議組 織/Organization
指導(dǎo)單位/Guiding Unit
中國(guó)汽車(chē)工程學(xué)會(huì)/SAE-China
新能源汽車(chē)大數(shù)據(jù)聯(lián)盟/Big Data Industry Alliance
乘用車(chē)聯(lián)合會(huì)/CPCA
安徽省大數(shù)據(jù)產(chǎn)業(yè)聯(lián)盟/Anhui Big Data Industry Alliance
主辦單位/Organizer
中國(guó)汽車(chē)材料網(wǎng)/China Automaterial Website
中信微合金化技術(shù)中心/CITIC-CBMM Microalloying Technology Center
中國(guó)汽車(chē)工程研究院股份有限公司/CACRI
協(xié)辦單位
智數(shù)汽車(chē)®/Zhishu Data®
三、會(huì)議時(shí)間地點(diǎn)/Time&Place
會(huì)議時(shí)間/Time:2019年11月7日-8日/November 7th-8th
會(huì)議地點(diǎn)/Place:上海/Shanghai
四、參會(huì)對(duì)象/Participants
•整車(chē)廠(chǎng)戰(zhàn)略規(guī)劃、產(chǎn)品規(guī)劃、產(chǎn)品定義、性能開(kāi)發(fā)和benchmark競(jìng)品分析的工程技術(shù)人員。
•整車(chē)廠(chǎng)產(chǎn)品研發(fā)、智能網(wǎng)絡(luò)、大數(shù)據(jù)理、輕量化與重量管理、材料與工藝領(lǐng)域的工程技術(shù)人員。
•從事汽車(chē)新材料、新技術(shù)、大數(shù)據(jù)應(yīng)用、智能和新能源汽車(chē)開(kāi)發(fā)的高校和科研院所負(fù)責(zé)人、工程技術(shù)人員、研究生等。
•汽車(chē)材料、零部件、檢測(cè)機(jī)構(gòu)與設(shè)備企業(yè)的技術(shù)或業(yè)務(wù)人員。
•汽車(chē)產(chǎn)品設(shè)計(jì)、工程服務(wù)、軟件公司的技術(shù)與業(yè)務(wù)人員。
•從事大數(shù)據(jù)應(yīng)用研究、數(shù)據(jù)挖掘、軟件開(kāi)發(fā)和工程服務(wù)等單位。
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、報(bào)告主題/Topics
汽車(chē)整車(chē)輕量化對(duì)標(biāo)數(shù)據(jù)庫(kù)
Automotive vehicle lightweight benchmarking database
汽車(chē)零部件正向選材數(shù)據(jù)系統(tǒng)
Auto parts forward selection data system
基于大數(shù)據(jù)的汽車(chē)研發(fā)配置與參數(shù)的“數(shù)據(jù)化決策”方法
Big Data-based Automotive R&D Configuration"Data Decision"
近10年國(guó)內(nèi)市場(chǎng)乘用車(chē)整車(chē)配置及性能參數(shù)趨勢(shì)分析
Trend analysis of performance parameters of passenger cars in the domestic market in the past 10 years
大數(shù)據(jù)在汽車(chē)智能化領(lǐng)域的應(yīng)用
Big data in the field of automotive intelligence
新能源汽車(chē)大數(shù)據(jù)的挖掘及應(yīng)用
Mining and Application of Big Data in New Energy Vehicles
大數(shù)據(jù)處理、分析及建模方法及在汽車(chē)領(lǐng)域的應(yīng)用
Big data processing,analysis and modeling methods and applications in the automotive field
基于benchmark大數(shù)據(jù)的汽車(chē)研發(fā)性能目標(biāo)方法研究
Research on Vehicle R&D Performance Target Method based on Benchmark Big Data
新能源汽車(chē)典型系統(tǒng)及零部件對(duì)比分析案例
Typical component materials and lightweight trend analysis of body systems
整車(chē)各系統(tǒng)典型零部件材料及輕量化趨勢(shì)分析
Typical component parts and lightweight trend analysis of chassis system
車(chē)企研發(fā)大數(shù)據(jù)管理系統(tǒng)開(kāi)發(fā)與應(yīng)用
Management system development on car companies research and development big data
汽車(chē)benchmark流程及性能開(kāi)發(fā)流程
Process for automotive performance development
基于benchmark汽車(chē)零部件用材及重量對(duì)標(biāo)方法
Vehicle component weight calibration method based on benchmark analysis
材料成分分析&性能測(cè)試在汽車(chē)Benchmark中的應(yīng)用
Application of material composition analysis and performance test in automotive Benchmark
汽車(chē)正向設(shè)計(jì)性能開(kāi)發(fā)及其對(duì)Benchmark技術(shù)與數(shù)據(jù)的需求分析
Automotive Forward Design Performance Development and Analysis of Benchmark Technology and Data Needs
注:以上為會(huì)議主要議題,報(bào)告內(nèi)容及專(zhuān)家安排在會(huì)前2周確定。
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、會(huì)議費(fèi)用/Fee
2019年9月20日之前付款2500/人;2300/人(3人及以上團(tuán)隊(duì)價(jià)格,同一公司)
2019年10月20日之前付款2700/人;2500/人(3人及以上團(tuán)隊(duì)價(jià)格,同一公司)
2019年10月20日之后,一律按照3200元/人
注:全日制在校學(xué)生原價(jià)基礎(chǔ)上優(yōu)惠1000元/人,以上包含會(huì)議餐飲、資料費(fèi)和專(zhuān)家授權(quán)的PPT資料,費(fèi)用不含交通費(fèi)和住宿費(fèi)。
產(chǎn)品樣品展示費(fèi):12000元(包含一個(gè)約1m長(zhǎng)桌展位,背景板統(tǒng)一設(shè)計(jì)及搭建,兩個(gè)參會(huì)名額)。
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、會(huì)議贊助及報(bào)名事宜/Sponsorship and Registration
誠(chéng)邀行業(yè)同仁參與及贊助合作,我們將為贊助合作伙伴提供:冠名支持、會(huì)場(chǎng)報(bào)告、會(huì)刊廣告、參會(huì)證、資料入袋、產(chǎn)品展示、易拉寶等多種贊助服務(wù),輔助企業(yè)提升企業(yè)形象、提高產(chǎn)品競(jìng)爭(zhēng)力、推廣企業(yè)技術(shù)實(shí)力,讓行業(yè)從業(yè)人員更加深入地了解企業(yè)技術(shù)及產(chǎn)品實(shí)力,進(jìn)一步拓展企業(yè)業(yè)務(wù)范圍,我們期待您的加入!
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......
重點(diǎn)企業(yè)
會(huì)議合作
誠(chéng)邀行業(yè)同仁參與及贊助合作,我們將為贊助合作伙伴提供:冠名支持、會(huì)場(chǎng)報(bào)告、會(huì)刊廣告、參會(huì)證、資料入袋、產(chǎn)品展示等多種贊助服務(wù),輔助企業(yè)提升企業(yè)形象、提高產(chǎn)品競(jìng)爭(zhēng)力、推廣企業(yè)技術(shù)實(shí)力,讓行業(yè)從業(yè)人員更加深入地了解企業(yè)技術(shù)及產(chǎn)品實(shí)力,進(jìn)一步拓展企業(yè)業(yè)務(wù)范圍,我們期待您的加入!
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一、會(huì)議背景 Benchmark技術(shù)(簡(jiǎn)稱(chēng)BM分析)作為一種對(duì)標(biāo)分析方法較早于1979年被美國(guó)施樂(lè)公司率先使用。近年來(lái),BM分析技術(shù)在汽車(chē)企業(yè)應(yīng)用越來(lái)越廣泛,通過(guò)BM分析可以了解對(duì)標(biāo)車(chē)型... ...