Optimization and validation of the knowledge-based traceability system for quality control in fish waterless live transportation

Food Control ◽  
2021 ◽  
Vol 122 ◽  
pp. 107809
Author(s):  
Wensheng Wang ◽  
Jinchao Xu ◽  
Wenfeng Zhang ◽  
Branko Glamuzina ◽  
Xiaoshuan Zhang
Keyword(s):  
Quality Control ◽  
Traceability System ◽  
Knowledge Based

Towards a new knowledge-based framework for integrated quality control planning

2021 ◽  
Vol 15 (5) ◽  
pp. 583
Author(s):  
Fadwa Oukhay ◽  
Ahmed Badreddine ◽  
Taieb Ben Romdhane
Keyword(s):  
Quality Control ◽  
Knowledge Based ◽  
New Knowledge

Quality Control Model for Manufacturing Process Based on GQMM

2011 ◽  
Vol 214 ◽  
pp. 612-617 ◽  
Author(s):  
Zhong Hua Yu ◽  
Juan Zhou
Keyword(s):  
Quality Control ◽  
Manufacturing Process ◽  
Manufacturing System ◽  
Control Model ◽  
Formal Description ◽  
Improve Quality ◽  
Knowledge Based ◽  
Structured Analysis ◽  
Goal Question Metric

A structured quality control model was proposed. It was a multilevel and knowledge-based quality control model which took Goal, Question, Metric, Measure and other fundamental elements as the main line, structured principle as guidance, manufacturing process as carrier, and improve quality of manufacturing system as destination. Firstly, a structured analysis principle was introduced. And then a structured quality control model was proposed combining bearing manufacturing process. A formal description of mappings between Goal-Question-Metric-Measure (GQMM) was also discussed. Finally; the architecture of the model was presented.

Knowledge Based Approach to Quality Control in Diagnostic Radiology

1995 ◽  
Vol 57 (1-4) ◽  
pp. 185-189
Author(s):  
G. Contento ◽  
R. Padovani ◽  
V. Roberto ◽  
O. Varin ◽  
C. Della Giusta (INVITED)
Keyword(s):  
Quality Control ◽  
Diagnostic Radiology ◽  
Knowledge Based

Knowledge Based Approach to Quality Control in Diagnostic Radiology

1995 ◽  
Vol 57 (1-4) ◽  
pp. 185-189
Author(s):  
G. Contento ◽  
R. Padovani ◽  
V. Roberto ◽  
O. Varin ◽  
C. Della Giusta (INVITED)
Keyword(s):  
Quality Control ◽  
Diagnostic Radiology ◽  
Knowledge Based

Knowledge-based radiotherapy treatment planning

2015 ◽  
Author(s):  
◽  
Lindsey Appenzoller Olsen
Keyword(s):  
Quality Control ◽  
Treatment Planning ◽  
Treatment Plan ◽  
Radiotherapy Planning ◽  
Patient Specific ◽  
Plan Quality ◽  
Radiotherapy Treatment Planning ◽  
Knowledge Based ◽  
Knowledge Based Planning ◽  
Radiotherapy Treatment

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Knowledge-based planning (KBP) has become a prominent area of research in radiation oncology in the last five years. The development of KBP aims to address the lack of systematic quality control and plan quality variability in radiotherapy treatment planning by providing achievable, patient-specific optimization objectives derived from a model trained with a cohort of previously treated, site-specific plans. This dissertation intended to develop, evaluate, and implement a knowledge-based planning system to reduce variability and improve radiotherapy treatment plan quality. The project aimed to 1) develop and validate an algorithm to train mathematical models that predict dose-volume histograms for organs at risk in radiotherapy planning, 2) implement the algorithm into a software application in order to transfer the technology into clinical practice, and 3) evaluate the impact of the software system (algorithm + application) on reducing variability and improving radiotherapy treatment plan quality through knowledge transfer. The presented work demonstrates that a KBP model is beneficial to radiotherapy planning. The developed models adequately describe what is dosimetrically achievable for patient specific anatomy and have proven useful in outlier detection for quality control of radiotherapy planning. The KBP paradigm has also demonstrated ability to improve treatment plan quality through benchmarking and transfer of knowledge between institutions.

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