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

doi:10.11896/j.issn.1002-137X.2019.02.002

计算机科学 ›› 2019, Vol. 46 ›› Issue (2): 11-17.doi: 10.11896/j.issn.1002-137X.2019.02.002

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

王旸¹, 蔡淑琴¹, 邹新文¹, 陈梓桐²

华中科技大学管理学院武汉430074¹
华中科技大学软件学院武汉430074²

收稿日期:2018-03-27 出版日期:2019-02-25 发布日期:2019-02-25
通讯作者: 蔡淑琴(1955-),女,博士,教授,博士生导师,主要研究方向为信息系统、商务智能,E-mail:caishuqin@hust.edu.cn
作者简介:王旸(1986-),男,博士生,主要研究方向为信息质量、大数据产品,E-mail:wangyanghim@hust.edu.cn;邹新文(1995-),男,硕士生,主要研究方向为信息管理;陈梓桐(1995－),男,硕士生,主要研究方向为自然语言处理。
基金资助:
本文受国家自然科学基金项目(71071066,71371081)资助。

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

WANG Yang¹, CAI Shu-qin¹, ZOU Xin-wen¹, CHEN Zi-tong²

School of Management,Huazhong University of Science and Technology,Wuhan 430074,China¹
School of Software Engineering,Huazhong University of Science and Technology,Wuhan 430074,China²

Received:2018-03-27 Online:2019-02-25 Published:2019-02-25

摘要/Abstract

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。

关键词: 超图模型, 大数据产品, 生产线, 数据质量

Abstract: 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.

Key words: Big data product, Data quality, Hypergraph model, Production line

中图分类号:

TP391

王旸, 蔡淑琴, 邹新文, 陈梓桐. 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[J]. 计算机科学, 2019, 46(2): 11-17. https://doi.org/10.11896/j.issn.1002-137X.2019.02.002

WANG Yang, CAI Shu-qin, ZOU Xin-wen, CHEN Zi-tong. Quality-embedded Hypergraph Model for Big Data Product Manufacturing System and Decision for Production Lines[J]. Computer Science, 2019, 46(2): 11-17. https://doi.org/10.11896/j.issn.1002-137X.2019.02.002

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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

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