质量嵌入的大数据产品生产系统超图模型及其生产线决策研究  

Quality-embedded Hypergraph Model for Big Data Product Manufacturing System and Decision for Production Lines

作　　者：王旸[1] 蔡淑琴[1] 邹新文 陈梓桐 WANG Yang;CAI Shu-qin;ZOU Xin-wen;CHEN Zi-tong(School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;School of Software Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学管理学院,武汉430074 [2]华中科技大学软件学院,武汉430074

出　　处：《计算机科学》2019年第2期11-17,共7页Computer Science

基　　金：国家自然科学基金项目(71071066;71371081)资助

摘　　要：大数据产品(Big Data Product,BDP)在原材料、用户需求、加工工艺等方面具有不同于实体产品的特征,而现有BDP生产系统的研究仍停留在概念模型阶段。为了解决该问题,提出BDP生产线的概念,基于生产线特征研究了生产线决策要素,强调了质量作为关键决策要素在BDP生产中的作用机理;采用超图理论建立了嵌入质量、质量传递函数和质量聚集函数的BDP生产系统模型,设计了BDP生产线决策流程;提出了供给侧稳定和需求侧稳定的BDP生产线决策模式。实例验证结果表明,所提出的模型和决策方法能够满足用户对BDP质量的要求。Due to the different characteristics of the Big Data Product(BDP)in terms of raw materials,user requirements,and processing techniques,research on BDP production system still stays at the conceptual model stage.To solve this problem,this paper purposed the concept of BDP production lines,discussed the decision factors for production line selection based on the characteristics of production line,and emphasized the action mechanism of quality as a key decision element in BDP production.This paper established the BDP production system model embedded with quality,quality transfer function and quality aggregation function by using the hypergraph theory,designed the decision processes for BDP production line,and proposed the decision mode of the BDP production line with supply-side-stable and demand-side-stable.The results show that the proposed model and decision method can meet users’requirements for BDP quality.

关 键 词：数据质量 大数据产品 生产线 超图模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] G203[自动化与计算机技术—计算机科学与技术]