.png){kind=icon}
返回
An optimization framework for enterprise quality infrastructure system under coupling constraints
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijpe.2023.108897.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Improving quality infrastructure (QI) is the cornerstone of improving enterprise quality management activities. Currently, the lack of a QI system optimization approach makes it difficult to exploit the role of QI for enterprise quality improvement. In this study, a generic QI system optimization framework is proposed to guide the development of enterprise QI optimization strategies, and three ideas of coupling constraints are presented in QI optimization for the first time: (1) How does optimization reflect the logical connotation of QI? (2) How to incorporate the cost of optimization? (3) How to determine and guide the direction of QI optimization? Firstly, the QI optimization index system is constructed to reflect the current QI level and future development goals of the enterprise. Secondly, the coupling constraint mechanism of QI system optimization is modeled based on the idea of the heterogeneous information network: the QI indicator sensitivity algorithm is designed to integrate it with cost and urgency. Finally, the optimization index characterizing the priority of QI index optimization is proposed to realize the formulation of enterprise optimization strategies. The framework is applied to eight QI system optimization cases of typical Oil Country Tubular Goods (OCTG) companies. The results show that the proposed framework can solve the three major factors in QI optimization, which is more in line with the enterprise optimization construction and fills the gap in the field of QI optimization. This work can provide ideas for the optimization of systems with such coupling constraint characteristics in other fields.
Keyword:
Quality infrastructure(QI)
Coupling constraint
Heterogeneous information network
Optimization index
期刊
IF:
10
论文数:
8.0K
被引数:
3.6W
机构
引用论文
分享收藏分享收藏Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model基于长短期记忆网络和高斯混合模型的风电机组功率短期预测及不确定性分析.png)
APPLIED ENERGY
OAAI
APPLIED ENERGYIF11
OAAI分享收藏Predicting miRNA-disease association from heterogeneous information network with GraRep embedding modelSCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏Impact of total quality management on corporate green performance through the mediating role of corporate social responsibility全面质量管理对企业绿色绩效的影响: 企业社会责任的中介作用
PREAI
分享收藏分享收藏Optimal crowdsourcing contracting for reconfigurable process planning in open manufacturing: A bilevel coordinated optimization approach开放式制造中可重构工艺规划的最优众包合同: 一种两级协调优化方法
PREAI
分享收藏
查看更多内容