制造业大数据的发展与展望
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摘要
随着大数据时代的到来,大数据对制造业的影响越来越明显.把握大数据时代带来的机遇,正确合理地进行传统制造业的转型升级尤为重要.本文首先归纳总结了制造业大数据的含义,突出制造业大数据是贯穿制造业整个价值链的、可通过大数据分析等技术实现智能制造快速发展的海量数据;其次,举例说明了制造业大数据发展和应用的三个阶段;然后从价值链出发,具体分析了大数据对研发与设计、供应、生产、营销和售后服务五方面的影响,体现了价值链由生产驱动向需求驱动的转变趋势;最后从大数据存储、大数据分析技术和数据安全与隐私三个角度分析了制造业大数据面临的挑战,并提出对中国传统制造业转型升级的展望.
With the advent of the big data age,the influence of big data on manufacturing has become increasingly obvious. It is very important to use the advantage to reasonably transform and upgrade traditional manufacturing. We summarize the definitions of big data in manufacturing. It emphasizes that manufacturing big data comprising volumes of data through the whole value chain can be used to improve intelligent manufacturing,using big data analysis and other technologies. We illustrate three processes in the development and applications of manufacturing big data with examples. Afterwards,we analyze the effects on value chain from five aspects in detail: research and design,supply,production,marketing,and post-sales service,which reflects the transformation trend from production-driven to demand-driven. Finally,we analyze the challenges faced by manufacturing big data from three perspectives: big data storage,big data analysis technologies,and big data safety and privacy,and propose the prospects for Chinese traditional manufacturing.
With the advent of the big data age,the influence of big data on manufacturing has become increasingly obvious. It is very important to use the advantage to reasonably transform and upgrade traditional manufacturing. We summarize the definitions of big data in manufacturing. It emphasizes that manufacturing big data comprising volumes of data through the whole value chain can be used to improve intelligent manufacturing,using big data analysis and other technologies. We illustrate three processes in the development and applications of manufacturing big data with examples. Afterwards,we analyze the effects on value chain from five aspects in detail: research and design,supply,production,marketing,and post-sales service,which reflects the transformation trend from production-driven to demand-driven. Finally,we analyze the challenges faced by manufacturing big data from three perspectives: big data storage,big data analysis technologies,and big data safety and privacy,and propose the prospects for Chinese traditional manufacturing.
引文
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[18]Yu C,Zhu L.Product design pattern based on big data-driven scenario[J].Advances in Mechanical Engineering,2016,8(7):1-9.
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[20]Wen X,Zhou X.Servitization of manufacturing industries based on cloud-based business model and the down-to-earth implementary path[J].International Journal of Advanced Manufacturing Technology,2016,87(5/6/7/8):1491-1508.
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[25]Lu Y K,Liu C Y,Ju B C.Cloud manufacturing collaboration:An initial exploration[C]//2013 Third World Congress on Software Engineering.Piscataway,NJ,USA:IEEE,2012:163-166.
[26]Zhang Y,Zhang G,Wang J,et al.Real-time information capturing and integration framework of the Internet of manufacturing things[J].Applied Mechanics&Materials,2015,28(8):811-822.
[27]Ittmann H W.The impact of big data and business analytics on supply chain management[J].Speculum,2015,9(1):1-9.
[28]Prest G,Sopher S.Innovations that drive supply chains[J].Supply Chain Management Review,2014,18(3):42-49.
[29]Zhang Y F,Qu T,Ho O K,et al.Agent-based smart gateway for RFID-enabled real-time wireless manufacturing[J].International Journal of Production Research,2011,49(5):1337-1352.
[30]Zhong R Y,Dai Q Y,Qu T,et al.RFID-enabled real-time manufacturing execution system for mass-customization production[J].Robotics and Computer-Integrated Manufacturing,2013,29(2):283-292.
[31]Ballot E,Gobet O,Montreuil B.Physical Internet enabled open hub network design for distributed networked operations[M].Service Orientation in Holonic and Multi-Agent Manufacturing Control.Berlin,Germany:Springer,2012:279-292.
[32]Fang J,Huang G Q,Li Z.Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management[J].International Journal of Production Research,2013,51(4):1168-1185.
[33]Hazen B T,Boone C A,Ezell J D,et al.Data quality for data science,predictive analytics,and big data in supply chain management:An introduction to the problem and suggestions for research and applications[J].International Journal of Production Economics,2014,154(4):72-80.
[34]Zhong R Y,Xu C,Chen C,et al.Big data analytics for physical Internet-based intelligent manufacturing shop floors[J].International Journal of Production Research,2017,55(9):2610-2621.
[35]Ducange P,Pecori R,Mezzina P.A glimpse on big data analytics in the framework of marketing strategies[J].Soft Computing,2017(5/6):1-18.
[36]Xu Z,Frankwick G L,Ramirez E.Effects of big data analytics and traditional marketing analytics on new product success:A knowledge fusion perspective[J].Journal of Business Research,2016,69(5):1562-1566.
[37]Erevelles S,Fukawa N,Swayne L.Big data consumer analytics and the transformation of marketing[J].Journal of Business Research,2016,69(2):897-904.
[38]Li X,Li Y,Cai X,et al.Service channel choice for supply chain:Who is better off by undertaking the service?[J].Production&Operations Management,2016,25(3):516-534.
[39]Du Y.Research on optimization of automobile after-sale service supply chain network eased on big data processing[J].Iberian Association for Information Systems and Technologies,2016(11):106-117.
[40]张旭梅,但斌,韩小鹏,等.现代制造服务---理论与实践[M].北京:科学出版社,2015:21-22.Zhang X M,Dan B,Han X P,et al.Modern manufacturing services:Theory and practice[M].Beijing:Science Press,2015:21-22.
[41]Curry E.The Big data value chain:Definitions,concepts,and theoretical approaches[M]//New Horizons for a Data-Driven Economy.Berlin,Germany:Springer,2016.
[42]Manyika J,Chui M,Brown B,et al.Big data:The next frontier for innovation,competition,and productivity[R].New York,NJ,USA:Mc Kinsey Global Institute,2011:1-2.
[43]Birney E.The making of ENCODE:Lessons for big-data projects[J].Nature,2012,489(7414):49-51.
[44]蔡佳慧,张涛,宗文红.医疗大数据面临的挑战及思考[J].中国卫生信息管理杂志,2013(4):292-295.Cai J H,Zhang T,Zong W H.Challenges and considerations of the big data of medicine[J].Chinese Journal of Health Informatics&Management,2013(4):292-295.
[45]Wu X,Zhu X,Wu G Q,et al.Data mining with big data[J].IEEE Transactions on Knowledge&Data Engineering,2013,26(1):97-107.
[46]曹刚.大数据存储管理系统面临挑战的探讨[J].软件产业与工程,2013(6):34-38.Cao G.Discussion of challenges from the big data storage management system[J].Software Industry and Engineering,2013(6):34-38.
[47]胡昌华,施权,司小胜,等.数据驱动的寿命预测和健康管理技术研究进展[J].信息与控制,2017,46(1):72-82.Hu C H,Shi Q,Si X S,et al.Data-driven life prediction and health management:State of the art[J].Information and Control,2017,46(1):72-82.
[48]Chen J,Chen Y,Du X,et al.Big data challenge:A data management perspective[J].Frontiers of Computer Science Selected Publications from Chinese Universities,2013,7(2):157-164.
[49]Chen M,Mao S,Liu Y.Big data:A survey[J].Mobile Networks&Applications,2014,19(2):171-209.
[50]孟小峰,慈祥.大数据管理:概念,技术与挑战[J].计算机研究与发展,2013(1):146-169.Meng X F,Ci X.Big data management:Concepts,techniques and challenges[J].Journal of Computer Research&Development,2013(1):146-169.
[51]李翠平,王敏峰.大数据的挑战和机遇[J].科研信息化技术与应用,2013,4(1):12-18.Li C P,Wang M F.Excerpts from the translation of challenges and opportunities with big data[J].e-Science Technology&Application,2013,4(1):12-18.
[52]Kantola J,Liu Y,Zhang Y,et al.Call for papers for a special volume of the journal of cleaner production on“innovative products and services for sustainable societal development”[J].Journal of Cleaner Production,2015,93:1-4.
[53]Amoros L M.Can big data in line with the sustainable development goals enhance climate change resilience?Early warning systems,adaptation and resilience opportunities[D].Nederland:Leiden University,2016.
[54]Pang Y,Hu L,Li H.Construction and evaluation of environment-friendly green supply chain in steel and iron manufacturing industry[J].Logistics&Supply Chain Research in China,2010,42(1):355-363.
[55]赵明霏,曹红,赵明飞,等.知识密集型服务业与制造业企业全要素生产率——基于中国工业企业数据的经验分析[J].技术经济与管理研究,2017(11):108-112.Zhao M F,Cao H,Zhao M F,et al.The influence of knowledge-intensive services on total factor productivity of China manufacturing industryAn empirical analysis based on China's industrial enterprises database[J].Technoeconomics&Management Research,2017(11):108-112.
[2]O'Donovan P,Leahy K,Bruton K,et al.Big data in manufacturing:A systematic mapping study[J].Journal of Big Data,2015,2(1):1-22.
[3]Villars R L,Olofson C W,Eastwood M.Big data:What it is and why you should care[R].White Paper,IDC.,2011:14.
[4]Luo S,Wang Z,Wang Z.Big-data analytics:Challenges,key technologies and prospects[J].ZTE Communications,2013,2:11-17.
[5]Sagiroglu S,Sinanc D.Big data:A review[C]//2013 International Conference on Collaboration Technologies and Systems.Piscataway,NJ,USA:IEEE,2013:42-47.
[6]Wielki J.Implementation of the big data concept in organizations-possibilities,impediments and challenges[C]//2013 Federated Conference on Computer Science and Information Systems.Piscataway,NJ,USA:IEEE,2013:985-989.
[7]Wan J,Tang S,Li D,et al.A manufacturing big data solution for active preventive maintenance[J].IEEE Transactions on Industrial Informatics,2017,2(16):2039-2047.
[8]Addo-Tenkorang R,Helo P T.Big data applications in operations/supply-chain management:A literature review[J].Computers&Industrial Engineering,2016,101:528-543.
[9]Lee J.Industrial big data:The revolutionary transformation and value creation in industry 4.0 era[M].Beijing:China Machine Press,2015:5-6.
[10]顾新建,代风,杨青梅,等.制造业大数据顶层设计的内容和方法(上篇)[J].成组技术与生产现代化,2015,32(4):12-17.Gu X J,Dai F,Yang Q M,et al.Contents and methods of top-level design of big data of manufacturing industry(Part 1)[J].Group Technology&Production Modernization,2015,32(4):12-17.
[11]Mourtzis D,Vlachou E,Milas N.Industrial big data as a result of Io T adoption in manufacturing[J].Procedia Cirp,2016,55:290-295.
[12]冯肇辉.远程监控在电梯上的应用[J].中华民居(下旬刊),2014,4:180.Feng Z H.Remote monitoring of applications on elevators[J].Chinese Homes,2014,4:180.
[13]杨杨,杨晓倩.法国数字经济税收相关问题探析---基于全球BEPS行动计划[J].税收经济研究,2015,20(4):7-12.Yang Y,Yang X Q.Analysis of the French digital economy tax-based on the global BEPS action plan[J].Tax and Economic Research,2015,20(4):7-12.
[14]蒙丹.全球价值链驱动机制演变趋势及启示[J].发展研究,2011(2):11-14.Meng D.The evolution trend and enlightenment of global value chain driving mechanism[J].Development Research,2011(2):11-14.
[15]Smith S,Smith G C,Jiao R,et al.Mass customization in the product life cycle[J].Journal of Intelligent Manufacturing,2013,24(5):877-885.
[16]Wu D,Greer M J,Rosen D W,et al.Cloud manufacturing:Drivers,current Status,and future trends[C]//ASME 2013 International Manufacturing Science and Engineering Conference.Piscataway,NJ,USA:IEEE,2013:1-10.
[17]Nunan D,Di Domenico M.Market research&the ethics of big data[J].International Journal of Market Research,2013,55(4):505-520.
[18]Yu C,Zhu L.Product design pattern based on big data-driven scenario[J].Advances in Mechanical Engineering,2016,8(7):1-9.
[19]Kusiak A.Break through with big data[J].Industrial Engineer,2015,47(3):38-42.
[20]Wen X,Zhou X.Servitization of manufacturing industries based on cloud-based business model and the down-to-earth implementary path[J].International Journal of Advanced Manufacturing Technology,2016,87(5/6/7/8):1491-1508.
[21]Krumeich J,Jacobi S,Werth D,et al.Big data analytics for predictive manufacturing control-A case study from process industry[C]//IEEEInternational Congress on Big Data.Piscataway,NJ,USA:IEEE,2014:530-537.
[22]Eccles H E.Logistics-what is it?[J].Naval Research Logistics Quarterly,1954,1(1):5-15.
[23]Islam D M Z,Meier J F,Aditjandra P T,et al.Logistics and supply chain management[J].Research in Transportation Economics,2013,41(1):3-16.
[24]Stock J R.Supply chain management:A look back,a look ahead[J].Supply Chain Quarterly,2013(2):22-26.
[25]Lu Y K,Liu C Y,Ju B C.Cloud manufacturing collaboration:An initial exploration[C]//2013 Third World Congress on Software Engineering.Piscataway,NJ,USA:IEEE,2012:163-166.
[26]Zhang Y,Zhang G,Wang J,et al.Real-time information capturing and integration framework of the Internet of manufacturing things[J].Applied Mechanics&Materials,2015,28(8):811-822.
[27]Ittmann H W.The impact of big data and business analytics on supply chain management[J].Speculum,2015,9(1):1-9.
[28]Prest G,Sopher S.Innovations that drive supply chains[J].Supply Chain Management Review,2014,18(3):42-49.
[29]Zhang Y F,Qu T,Ho O K,et al.Agent-based smart gateway for RFID-enabled real-time wireless manufacturing[J].International Journal of Production Research,2011,49(5):1337-1352.
[30]Zhong R Y,Dai Q Y,Qu T,et al.RFID-enabled real-time manufacturing execution system for mass-customization production[J].Robotics and Computer-Integrated Manufacturing,2013,29(2):283-292.
[31]Ballot E,Gobet O,Montreuil B.Physical Internet enabled open hub network design for distributed networked operations[M].Service Orientation in Holonic and Multi-Agent Manufacturing Control.Berlin,Germany:Springer,2012:279-292.
[32]Fang J,Huang G Q,Li Z.Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management[J].International Journal of Production Research,2013,51(4):1168-1185.
[33]Hazen B T,Boone C A,Ezell J D,et al.Data quality for data science,predictive analytics,and big data in supply chain management:An introduction to the problem and suggestions for research and applications[J].International Journal of Production Economics,2014,154(4):72-80.
[34]Zhong R Y,Xu C,Chen C,et al.Big data analytics for physical Internet-based intelligent manufacturing shop floors[J].International Journal of Production Research,2017,55(9):2610-2621.
[35]Ducange P,Pecori R,Mezzina P.A glimpse on big data analytics in the framework of marketing strategies[J].Soft Computing,2017(5/6):1-18.
[36]Xu Z,Frankwick G L,Ramirez E.Effects of big data analytics and traditional marketing analytics on new product success:A knowledge fusion perspective[J].Journal of Business Research,2016,69(5):1562-1566.
[37]Erevelles S,Fukawa N,Swayne L.Big data consumer analytics and the transformation of marketing[J].Journal of Business Research,2016,69(2):897-904.
[38]Li X,Li Y,Cai X,et al.Service channel choice for supply chain:Who is better off by undertaking the service?[J].Production&Operations Management,2016,25(3):516-534.
[39]Du Y.Research on optimization of automobile after-sale service supply chain network eased on big data processing[J].Iberian Association for Information Systems and Technologies,2016(11):106-117.
[40]张旭梅,但斌,韩小鹏,等.现代制造服务---理论与实践[M].北京:科学出版社,2015:21-22.Zhang X M,Dan B,Han X P,et al.Modern manufacturing services:Theory and practice[M].Beijing:Science Press,2015:21-22.
[41]Curry E.The Big data value chain:Definitions,concepts,and theoretical approaches[M]//New Horizons for a Data-Driven Economy.Berlin,Germany:Springer,2016.
[42]Manyika J,Chui M,Brown B,et al.Big data:The next frontier for innovation,competition,and productivity[R].New York,NJ,USA:Mc Kinsey Global Institute,2011:1-2.
[43]Birney E.The making of ENCODE:Lessons for big-data projects[J].Nature,2012,489(7414):49-51.
[44]蔡佳慧,张涛,宗文红.医疗大数据面临的挑战及思考[J].中国卫生信息管理杂志,2013(4):292-295.Cai J H,Zhang T,Zong W H.Challenges and considerations of the big data of medicine[J].Chinese Journal of Health Informatics&Management,2013(4):292-295.
[45]Wu X,Zhu X,Wu G Q,et al.Data mining with big data[J].IEEE Transactions on Knowledge&Data Engineering,2013,26(1):97-107.
[46]曹刚.大数据存储管理系统面临挑战的探讨[J].软件产业与工程,2013(6):34-38.Cao G.Discussion of challenges from the big data storage management system[J].Software Industry and Engineering,2013(6):34-38.
[47]胡昌华,施权,司小胜,等.数据驱动的寿命预测和健康管理技术研究进展[J].信息与控制,2017,46(1):72-82.Hu C H,Shi Q,Si X S,et al.Data-driven life prediction and health management:State of the art[J].Information and Control,2017,46(1):72-82.
[48]Chen J,Chen Y,Du X,et al.Big data challenge:A data management perspective[J].Frontiers of Computer Science Selected Publications from Chinese Universities,2013,7(2):157-164.
[49]Chen M,Mao S,Liu Y.Big data:A survey[J].Mobile Networks&Applications,2014,19(2):171-209.
[50]孟小峰,慈祥.大数据管理:概念,技术与挑战[J].计算机研究与发展,2013(1):146-169.Meng X F,Ci X.Big data management:Concepts,techniques and challenges[J].Journal of Computer Research&Development,2013(1):146-169.
[51]李翠平,王敏峰.大数据的挑战和机遇[J].科研信息化技术与应用,2013,4(1):12-18.Li C P,Wang M F.Excerpts from the translation of challenges and opportunities with big data[J].e-Science Technology&Application,2013,4(1):12-18.
[52]Kantola J,Liu Y,Zhang Y,et al.Call for papers for a special volume of the journal of cleaner production on“innovative products and services for sustainable societal development”[J].Journal of Cleaner Production,2015,93:1-4.
[53]Amoros L M.Can big data in line with the sustainable development goals enhance climate change resilience?Early warning systems,adaptation and resilience opportunities[D].Nederland:Leiden University,2016.
[54]Pang Y,Hu L,Li H.Construction and evaluation of environment-friendly green supply chain in steel and iron manufacturing industry[J].Logistics&Supply Chain Research in China,2010,42(1):355-363.
[55]赵明霏,曹红,赵明飞,等.知识密集型服务业与制造业企业全要素生产率——基于中国工业企业数据的经验分析[J].技术经济与管理研究,2017(11):108-112.Zhao M F,Cao H,Zhao M F,et al.The influence of knowledge-intensive services on total factor productivity of China manufacturing industryAn empirical analysis based on China's industrial enterprises database[J].Technoeconomics&Management Research,2017(11):108-112.