Intelligent maintenance systems and predictive manufacturing
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …
manufacturing industry is facing challenges and desires to seek continuous improvement …
Statistical process control for multistage manufacturing and service operations: a review and some extensions
F Tsung, Y Li, M Jin - International Journal of Services …, 2008 - inderscienceonline.com
Manufacturing and service processes today usually involve more than one process stages
and operations. With an emphasis on achieving satisfactory product and service quality …
and operations. With an emphasis on achieving satisfactory product and service quality …
A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes
SS Mandroli, AK Shrivastava, Y Ding - IIE Transactions, 2006 - Taylor & Francis
Methodologies, modeling approaches, and the interactions between various system
elements involved in inspection-allocation and sensor-distribution problems, that influence …
elements involved in inspection-allocation and sensor-distribution problems, that influence …
Statistical monitoring of multi-stage processes based on engineering models
Most manufacturing processes consist of a large number of stages. The modeling of multi-
stage processes by considering physical and mechanical laws in a linear state space form is …
stage processes by considering physical and mechanical laws in a linear state space form is …
A least angle regression control chart for multidimensional data
G Capizzi, G Masarotto - Technometrics, 2011 - Taylor & Francis
In multidimensional applications, it is very rare that all variables shift at the same time. A
statistical process control procedure would have superior efficiency when limited to the …
statistical process control procedure would have superior efficiency when limited to the …
Recent advances in process monitoring: Nonparametric and variable-selection methods for phase I and phase II
G Capizzi - Quality Engineering, 2015 - Taylor & Francis
The main aim of this article is to review and discuss two particular topics of statistical process
monitoring: the need for a nonparametric approach to Phase I analysis and the use of …
monitoring: the need for a nonparametric approach to Phase I analysis and the use of …
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems
In multistage manufacturing systems, modeling multiple quality indices based on the
process sensing variables is important. However, the classic modeling technique predicts …
process sensing variables is important. However, the classic modeling technique predicts …
Directional MEWMA schemes for multistage process monitoring and diagnosis
Statistical process control, monitoring, and diagnosis of a multistage process remain
challenging problems in both the manufacturing and service industries. This paper proposes …
challenging problems in both the manufacturing and service industries. This paper proposes …
In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions
D Tiwari, M Farnsworth, Z Zhang… - Proceedings of the …, 2021 - journals.sagepub.com
Manual operations feature prominently in the manufacture of many electrical machines.
Even though high-volume electrical machine manufacture is dominated by automation …
Even though high-volume electrical machine manufacture is dominated by automation …
False discovery rate-adjusted charting schemes for multistage process monitoring and fault identification
Y Li, F Tsung - Technometrics, 2009 - Taylor & Francis
Most statistical process control research focuses on single-stage processes. This article
considers the problem of multistage process monitoring and fault identification. This problem …
considers the problem of multistage process monitoring and fault identification. This problem …