An approach to monitoring quality in manufacturing using supervised machine learning on product state data
Increasing market demand towards higher product and process quality and efficiency forces
companies to think of new and innovative ways to optimize their production. In the area of …
companies to think of new and innovative ways to optimize their production. In the area of …
A review of statistical methods for quality improvement and control in nanotechnology
JC Lu, SL Jeng, K Wang - Journal of Quality Technology, 2009 - Taylor & Francis
Nanotechnology has received a considerable amount of attention from various fields and
has become a multidisciplinary subject, where several research ventures have taken place …
has become a multidisciplinary subject, where several research ventures have taken place …
Monitoring profiles based on nonparametric regression methods
The use statistical process control (SPC) in monitoring and diagnosis of process and product
quality profiles remains an important problem in various manufacturing industries. The SPC …
quality profiles remains an important problem in various manufacturing industries. The SPC …
System monitoring with real-time contrasts
Monitoring real-time data steams is an important learning task in numerous disciplines.
Traditional process-monitoring techniques are challenged by increasingly complex, high …
Traditional process-monitoring techniques are challenged by increasingly complex, high …
Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process
Additive manufacturing (AM) enables flexible part geometry and functionality, and reduces
product development life cycle by direct layer-wise fabrication from CAD files. In the last …
product development life cycle by direct layer-wise fabrication from CAD files. In the last …
Nonparametric control chart for monitoring profiles using change point formulation and adaptive smoothing
In many applications, quality of a process is best characterized by a functional relationship
between a response variable and one or more explanatory variables. Profile monitoring is …
between a response variable and one or more explanatory variables. Profile monitoring is …
QQ models: Joint modeling for quantitative and qualitative quality responses in manufacturing systems
A manufacturing system with both quantitative and qualitative (QQ) quality responses (as a
QQ system) is widely encountered in many cases. For example, in a lapping process of the …
QQ system) is widely encountered in many cases. For example, in a lapping process of the …
Integrated operation planning and process adjustment for optimum cost with attention to manufacturing quality and waste
Operation planning and process adjustment are two important aspects of manufacturing
operations that can have a significant impact on the performance of a manufacturing system …
operations that can have a significant impact on the performance of a manufacturing system …
Bayesian robust parameter design for ordered response
Due to the nature of the quality characteristics, or there is no instrument available to
measure the characteristics of interest, ordered data, eg 1 (poor), 2 (satisfactory), 3 (good) …
measure the characteristics of interest, ordered data, eg 1 (poor), 2 (satisfactory), 3 (good) …
Reinforcement learning for process control with application in semiconductor manufacturing
Process control is widely discussed in the manufacturing process, especially in
semiconductor manufacturing. Due to unavoidable disturbances in manufacturing, different …
semiconductor manufacturing. Due to unavoidable disturbances in manufacturing, different …