Establishment of quadratic exponential quality gain-loss function model and design of process mean
Taking into account the fluctuation of the growth rate on the left and right sides of the classic QGLF, a quadratic exponential quality gain-loss function (QGLF) is created based on the asymmetric QGLF. The two scenarios of non-normal distribution (triangular distribution) and truncated normal distribution of quality characteristic values are optimized using the quadratic exponential quality gain-loss process mean. Through the case study approaches, the empirical validity and applicability of the quadratic exponential QGLF model are thoroughly assessed, confirming its effectiveness in improving quality management practices.
Authors
- Xiangtian Nie (ORCID: https://orcid.org/0009-0005-5388-8802)
- Qikai Li (ORCID: https://orcid.org/0000-0002-4767-9474)
- Zihan Chen (ORCID: https://orcid.org/0000-0001-7799-9658)
- Qi Yang (ORCID: https://orcid.org/0000-0002-0726-8216)
- Bo Wang (ORCID: https://orcid.org/0000-0001-7343-9258)
Institutions
- North China University of Water Resources and Electric Power (CN)
- China Institute of Water Resources and Hydropower Research (CN)
- Nanjing Hydraulic Research Institute (CN)
- Henan Province Water Conservancy Survey and Design Research (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e36481
- Citations
- 1
- Primary Topic
- Advanced Statistical Process Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.46
Funders
- National Natural Science Foundation of China