华罗庚管理科学与工业大数据分析的系统工程  

Hua Luogeng System Engineering of Management Science and Industrial Big Data Analysis

作　　者：刘祥官[1] 郜传厚[1] 罗世华 王义康 吴武林 LIU Xiang-guan;GAO Chuan-hou;LUO Shi-hua;WANG Yi-kang;WU Wu-lin(School of Mathematical Sciences,Zhejiang University,Hangzhou 310027,China;School of Statistics,Jiangxi University of Finance and Economics,Nanchang 330013,China;School of Science,China University of Metrology,Hangzhou 310018,China;School of Economics,Fujian Normal University,Fuzhou 350117,China)

机构地区：[1]浙江大学数学科学学院,浙江杭州310027 [2]江西财经大学统计学院,江西南昌330013 [3]中国计量大学理学院,浙江杭州310018 [4]福建师范大学经济学院,福建福州350117

出　　处：《中国管理科学》2022年第11期8-19,共12页Chinese Journal of Management Science

基　　金：国家社会科学基金资助重大项目(21&ZD152);福建省社会科学基金资助项目(FJ2021C015);福建省科技厅创新战略研究项目(2022R0027);全国中国特色社会主义政治经济学研究中心(福建师范大学)资助项目(Y202110)。

摘　　要：本文简介了攀钢顾问华罗庚教授亲自指导完成的攀枝花钒钛资源综合利用中的国家重大攻关项目成果,以“国家科技进步一等奖”中的典型大数据分析案例为例,来论述华罗庚教授所创建的管理科学理论对钢铁工业大数据分析、智能优化算法和工艺智能制造上的指导作用。通过对具体案例和算法的介绍,能够帮助我们更深刻地理解华罗庚管理科学36字方针的丰富内涵。特别是在今天数字经济时代,如何应用华罗庚管理科学理论指导工业生产线智能制造技术的研发,具有普遍的指导意义。The achievements of the national key research project in the comprehensive utilization of vanadium and titanium resources in Panzhihua are briefly introduced under the personal guidance of Professor Hua Luogeng,a consultant of Pangang.Taking the typical big data analysis case in the “first prize of national scientific and technological progress” as an example,the guiding role of the management science theory created by Professor Hua Luogeng in big data analysis,intelligent optimization algorithm and process intelligent manufacturing of iron and steel industry is discussed.Through the introduction of specific cases and algorithms,it can help us more deeply understand the rich connotation of Hua Luogeng’s 36 word policy of management science.Especially in today’s digital economy era,how to apply Hua Luogeng’s scientific management theory to guide the research and development of intelligent manufacturing technology of industrial production line has universal guiding significance.

关 键 词：华罗庚管理科学 大数据分析 人工智能 智能优化算法 

分 类 号：C931.1[经济管理—管理学]