Interpretable Multi-task Learning for Product Quality Prediction with Attention Mechanism

2019 ◽  
Author(s):  
Cheng-Han Yeh ◽  
Yao-Chung Fan ◽  
Wen-Chih Peng
Keyword(s):  
Product Quality ◽  
Attention Mechanism ◽  
Quality Prediction ◽  
Task Learning

scholarly journals Production rescheduling through product quality prediction

2021 ◽  
Vol 54 ◽  
pp. 142-147
Author(s):  
Maik Frye ◽  
Dávid Gyulai ◽  
Júlia Bergmann ◽  
Robert H. Schmitt
Keyword(s):  
Product Quality ◽  
Quality Prediction

Assessment of variance & distribution in data for effective use of statistical methods for product quality prediction

2018 ◽  
Vol 66 (4) ◽  
pp. 344-355 ◽  
Author(s):  
Iris Weiß ◽  
Birgit Vogel-Heuser
Keyword(s):  
Data Mining ◽  
Product Quality ◽  
Statistical Methods ◽  
Analysis Of Variance ◽  
Production System ◽  
Production Systems ◽  
High Potential ◽  
Quality Prediction ◽  
Automated Production ◽  
Effective Use

AbstractData mining in automated production systems provide high potential to increase the Overall Equipment Effectiveness. Nevertheless, data of such machines/plants include specific characteristics regarding the variance and distribution of the dataset. For modelling product quality prediction, these characteristics have to be analysed to interpret the results correctly. Therefore, an approach for the analysis of variance and distribution of datasets is proposed. The evaluation of this approach validates the developed guidelines, which identify the reasons for inconsistent prediction results based on two different datasets of the same production system.

scholarly journals Attention Mechanism-Incorporated Deep Learning for AM Part Quality Prediction

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 96-101
Author(s):  
Jianjing Zhang ◽  
Peng Wang ◽  
Robert X. Gao
Keyword(s):  
Deep Learning ◽  
Attention Mechanism ◽  
Quality Prediction ◽  
Part Quality

Study on Quality Prediction Technology of Manufacturing Supply Chain

2020 ◽  
pp. 2128-2148
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Full Life ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2015 ◽  
Vol 8 (4) ◽  
pp. 44-62 ◽  
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Unsolved Problem ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

Product quality prediction based on geoinformation technologies

2017 ◽  
pp. 10-15
Author(s):  
S. V. Kornilkov ◽  
◽  
V. M. Alenichev ◽  
Yu. V. Laptev ◽  
A. M. Yakovlev ◽  
...  
Keyword(s):  
Product Quality ◽  
Quality Prediction ◽  
Geoinformation Technologies
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