Abstract：The shipbuilding industry is one of the commanding heights in the high-end equipment manufacturing industries.Based on the production process of traditional shipbuilding industry and the characteristics of big data in shipbuilding industry,the main problems of the production process in shipbuilding industry are analyzed.Based on three big data analysis technologies,the process reengineering of traditional shipbuilding industry is analyzed from three dimensionalities:subsection load equalization,lean shipbuilding manufacturing mode and technical innovation by knowledge reasoning.The treatment scheme and difficulties are analyzed in details.According to these difficulties,the solutions are proposed.At last,the discussion about the application of big data technology used in the production process of shipbuilding industry in the future is provided.
黄音, 张逸尘, 胡芬. 基于大数据的船舶制造业流程再造[J]. 中国科技论坛, 2018(3): 39-47.
Huang Yin, Zhang Yichen, Hu Fen. On the Process Reengineering Based on Big Data Technology. , 2018(3): 39-47.
[1]张洁,秦威,鲍劲松.制造业大数据[M].上海:上海科学技术出版社,2016:294. [2]MACGREGOR J F,BRUWER M J,MILETIC I,et al.Latent variable models and big data in the process industries[J].IFAC papers online,2015,48(8):520-524. [3]LEE S K,KIM B,HUH M,et al.Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry[J].Expert systems with applications,2013,40(1):83-95. [4]SUN J,HIEKATA K,YAMATO H,et al.Efficient point cloud data processing in shipbuilding:reformative component extraction method and registration method[J].Journal of computational design & engineering,2014,1(3):202-212. [5]孙立.工业大数据对智慧云制造的推动与创新[J].科技管理研究,2016,36(13):156-158. [6]国家工业信息安全发展研究中心.大数据优秀产品、服务和应用解决方案案例集(2016)[M].北京:电子工业出版社,2017:200. [7]喻小光,战德臣,聂兰顺.面向船舶制造企业的多层次生产计划模型与系统[J].黑龙江大学自然科学学报,2009,26(6):770-774. [8]张为峰,苏智.中国船舶制造业企业兼并重组研究[J].学术交流,2013(1):102-106. [9]杨慧力,王凯华.中国船舶产业链整合模式选择[J].中国科技论坛,2015(8):71-77. [10]赵福全,刘宗巍.工业4.0浪潮下中国制造业转型策略研究[J].中国科技论坛,2016(1):58-62. [11]杨天正.我国船舶工业的产品创新[J].科技导报,1999,17(11):41-44. [12]李宪建.产业集群与民营经济发展实证研究——以闽东电机、船舶产业为例[J].中国科技论坛,2007(2):56-61. [13]姚雪梅,李少波,璩晶磊,等.制造大数据相关技术架构分析[J].电子技术应用,2016,42(11):10-13. [14]董鹏,蔡中为,杜振华,等.制造业产能分析系统研究[J].北京交通大学学报(社会科学版),2013,12(3):52-59. [15]吕本富,刘颖.飞轮效应:数据驱动的企业[M].北京:电子工业出版社,2015:59.
2018, 
