2019（第四屆）汽車Benchmark分析及性能開發(fā)技術(shù)研討會

【鋁道網(wǎng)】一、會議背景/Background

隨著新能源汽車、自動駕駛等技術(shù)的快速發(fā)展，汽車產(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產(chǎn)品的性能目標(biāo)、配置策略，設(shè)計開發(fā)暢銷的汽車產(chǎn)品，成為汽車企業(yè)快速占領(lǐng)汽車市場的迫切需要解決。因此，以Benchmark產(chǎn)品信息數(shù)據(jù)為代表的汽車大數(shù)據(jù)已成為主機(jī)廠新產(chǎn)品開發(fā)過程中必不可少的數(shù)據(jù)支撐，汽車大數(shù)據(jù)技術(shù)可以幫助車企總結(jié)過去經(jīng)驗，預(yù)判在新車研發(fā)未來周期的市場需求走勢，提升車企整體運營效率�；�于benchmark和行業(yè)大數(shù)據(jù)的產(chǎn)品市場對標(biāo)（配置、價格）和技術(shù)對標(biāo)（汽車性能參數(shù)、結(jié)構(gòu)、輕量化水平、平臺化及模塊化設(shè)計、用材與工藝和供應(yīng)鏈體系等）受到越來越高的重視。

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)汽車行業(yè)Benchmark技術(shù)和方法的交流，中國汽車材料網(wǎng)于2016-2018年連續(xù)三屆舉辦汽車benchmark分析及性能開發(fā)研討會，均得到了行業(yè)特別是整車企業(yè)及大型汽車零部件企業(yè)的廣泛好評。本年度的會議將于2019年11月7日-8日舉辦。我們將繼續(xù)聯(lián)合汽車研發(fā)“數(shù)據(jù)化決策”推動者——智數(shù)汽車®，并將在業(yè)內(nèi)首發(fā)汽車研發(fā)對標(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)庫建設(shè)、推動輕量化新材料、新工藝和新技術(shù)的應(yīng)用，推動BM等大數(shù)據(jù)有效支撐汽車正向設(shè)計和性能開發(fā)能力的提升，以及汽車行業(yè)研發(fā)的數(shù)據(jù)化決策。同時結(jié)合新能源汽車大數(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問題展開交流與研討。

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、會議組 織/Organization

指導(dǎo)單位/Guiding Unit

中國汽車工程學(xué)會/SAE-China

新能源汽車大數(shù)據(jù)聯(lián)盟/Big Data Industry Alliance

乘用車聯(lián)合會/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

中國汽車材料網(wǎng)/China Automaterial Website

中信微合金化技術(shù)中心/CITIC-CBMM Microalloying Technology Center

中國汽車工程研究院股份有限公司/CACRI

協(xié)辦單位

智數(shù)汽車®/Zhishu Data®

三、會議時間地點/Time&Place

會議時間/Time：2019年11月7日-8日/November 7th-8th

會議地點/Place：上海/Shanghai

四、參會對象/Participants

•整車廠戰(zhàn)略規(guī)劃、產(chǎn)品規(guī)劃、產(chǎn)品定義、性能開發(fā)和benchmark競品分析的工程技術(shù)人員。

•整車廠產(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。

•從事汽車新材料、新技術(shù)、大數(shù)據(jù)應(yīng)用、智能和新能源汽車開發(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。

•汽車材料、零部件、檢測機(jī)構(gòu)與設(shè)備企業(yè)的技術(shù)或業(yè)務(wù)人員。

•汽車產(chǎn)品設(shè)計、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、報告主題/Topics

汽車整車輕量化對標(biāo)數(shù)據(jù)庫

Automotive vehicle lightweight benchmarking database

汽車零部件正向選材數(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年國內(nèi)市場乘用車整車配置及性能參數(shù)趨勢分析

Trend analysis of performance parameters of passenger cars in the domestic market in the past 10 years

大數(shù)據(jù)在汽車智能化領(lǐng)域的應(yīng)用

Big data in the field of automotive intelligence

新能源汽車大數(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

新能源汽車典型系統(tǒng)及零部件對比分析案例

Typical component materials and lightweight trend analysis of body systems

整車各系統(tǒng)典型零部件材料及輕量化趨勢分析

Typical component parts and lightweight trend analysis of chassis system

車企研發(fā)大數(shù)據(jù)管理系統(tǒng)開發(fā)與應(yīng)用

Management system development on car companies research and development big data

汽車benchmark流程及性能開發(fā)流程

Process for automotive performance development

基于benchmark汽車零部件用材及重量對標(biāo)方法

Vehicle component weight calibration method based on benchmark analysis

材料成分分析&性能測試在汽車Benchmark中的應(yīng)用

Application of material composition analysis and performance test in automotive Benchmark

汽車正向設(shè)計性能開發(fā)及其對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：以上為會議主要議題，報告內(nèi)容及專家安排在會前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、會議費用/Fee

2019年9月20日之前付款2500/人；2300/人（3人及以上團(tuán)隊價格，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)隊價格，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)生原價基礎(chǔ)上優(yōu)惠1000元/人，以上包含會議餐飲、資料費和專家授權(quán)的PPT資料，費用不含交通費和住宿費。

產(chǎn)品樣品展示費：12000元（包含一個約1m長桌展位，背景板統(tǒng)一設(shè)計及搭建，兩個參會名額）。

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、會議贊助及報名事宜/Sponsorship and Registration

誠邀行業(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、會場報告、會刊廣告、參會證、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)品競爭力、推廣企業(yè)技術(shù)實力，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......

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會議合作

誠邀行業(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、會場報告、會刊廣告、參會證、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)品競爭力、推廣企業(yè)技術(shù)實力，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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