In-process quality improvement: Concepts, methodologies, and applications
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
In-process quality improvement: Concepts, methodologies, and applications
Authors
Keywords
-
Journal
IISE Transactions
Volume -, Issue -, Pages 1-20
Publisher
Informa UK Limited
Online
2022-06-07
DOI
10.1080/24725854.2022.2059725
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A product-oriented synchronization and effective information extraction of continuous streaming data for relationship mining in a hot rolling process
- (2022) Huihui Miao et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Deep multistage multi-task learning for quality prediction of multistage manufacturing systems
- (2021) Hao Yan et al. JOURNAL OF QUALITY TECHNOLOGY
- Toward a better monitoring statistic for profile monitoring via variational autoencoders
- (2021) Nurettin Dorukhan Sergin et al. JOURNAL OF QUALITY TECHNOLOGY
- Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing
- (2021) Bo Shen et al. TECHNOMETRICS
- Adaptive Cautious Regularized Run-to-Run Controller for Lithography Process
- (2021) Zhen Zhong et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network
- (2021) Shenghan Guo et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Multi-sensor based landslide monitoring via transfer learning
- (2021) Wendong Li et al. JOURNAL OF QUALITY TECHNOLOGY
- Active cluster annotation for wafer map pattern classification in semiconductor manufacturing
- (2021) Jaewoong Shim et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Custom Word Embedding Model for Clustering of Maintenance Records
- (2021) Abhijeet Sandeep Bhardwaj et al. IEEE Transactions on Industrial Informatics
- Multioutput Gaussian Process Modulated Poisson Processes for Event Prediction
- (2021) Salman Jahani et al. IEEE TRANSACTIONS ON RELIABILITY
- Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning
- (2021) Hongbing Yang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling
- (2021) Di Wang et al. IEEE Transactions on Automation Science and Engineering
- Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection
- (2021) Yuxuan Li et al. IEEE Transactions on Automation Science and Engineering
- Additive Tensor Decomposition Considering Structural Data Information
- (2021) Shancong Mou et al. IEEE Transactions on Automation Science and Engineering
- Task scheduling based on deep reinforcement learning in a cloud manufacturing environment
- (2020) Tingting Dong et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Correlation-based dynamic sampling for online high dimensional process monitoring
- (2020) Mohammad Nabhan et al. JOURNAL OF QUALITY TECHNOLOGY
- A Bayesian Deep Learning Framework for Interval Estimation of Remaining Useful Life in Complex Systems by Incorporating General Degradation Characteristics
- (2020) Minhee Kim et al. IISE Transactions
- Potential, challenges and future directions for deep learning in prognostics and health management applications
- (2020) Olga Fink et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep Learning-Based Domain Adaptation Method for Fault Diagnosis in Semiconductor Manufacturing
- (2020) Moslem Azamfar et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Designing an adaptive production control system using reinforcement learning
- (2020) Andreas Kuhnle et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Using an autoencoder in the design of an anomaly detector for smart manufacturing
- (2020) Antonio L. Alfeo et al. PATTERN RECOGNITION LETTERS
- Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
- (2020) Chen Zhang et al. TECHNOMETRICS
- Copula-based multi-event modeling and prediction using fleet service records
- (2020) Akash Deep et al. IISE Transactions
- Holistic modeling and analysis of multistage manufacturing processes with sparse effective inputs and mixed profile outputs
- (2020) Andi Wang et al. IISE Transactions
- Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation
- (2020) Yan Wang et al. Annals of Applied Statistics
- Deep Learning-Based Data Fusion Method for In Situ Porosity Detection in Laser-Based Additive Manufacturing
- (2020) Qi Tian et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection
- (2019) Xiaowei Yue et al. TECHNOMETRICS
- Optimal Placement of Actuators Via Sparse Learning for Composite Fuselage Shape Control
- (2019) Juan Du et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Virtual assembly and residual stress analysis for the composite fuselage assembly process
- (2019) Yuchen Wen et al. JOURNAL OF MANUFACTURING SYSTEMS
- Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning
- (2019) Ikenna A. Okaro et al. Additive Manufacturing
- Convolutional and generative adversarial neural networks in manufacturing
- (2019) Andrew Kusiak INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Fast dynamic nonparametric distribution tracking in electron microscopic data
- (2019) Yanjun Qian et al. Annals of Applied Statistics
- Dynamic selective maintenance optimization for multi-state systems over a finite horizon: A deep reinforcement learning approach
- (2019) Yu Liu et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- AKM2D: An adaptive framework for online sensing and anomaly quantification
- (2019) Hao Yan et al. IISE Transactions
- Model-free Adaptive Optimal Control of Episodic Fixed-horizon Manufacturing Processes Using Reinforcement Learning
- (2019) Johannes Dornheim et al. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
- Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
- (2019) Mostafa Reisi Gahrooei et al. TECHNOMETRICS
- Automated Geometric Shape Deviation Modeling for Additive Manufacturing Systems via Bayesian Neural Networks
- (2019) Raquel de Souza Borges Ferreira et al. IEEE Transactions on Automation Science and Engineering
- Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process
- (2018) Hongyue Sun et al. IEEE Transactions on Automation Science and Engineering
- A Wavelet-Based Penalized Mixed-Effects Decomposition for Multichannel Profile Detection of In-Line Raman Spectroscopy
- (2018) Xiaowei Yue et al. IEEE Transactions on Automation Science and Engineering
- Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly
- (2018) Xiaowei Yue et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Feasibility analysis of composite fuselage shape control via finite element analysis
- (2018) Yuchen Wen et al. JOURNAL OF MANUFACTURING SYSTEMS
- Reinforcement Learning-Based and Parametric Production-Maintenance Control Policies for a Deteriorating Manufacturing System
- (2018) A. S. Xanthopoulos et al. IEEE Access
- Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis
- (2018) Chen Zhang et al. IISE Transactions
- Opportunities and challenges of quality engineering for additive manufacturing
- (2018) Bianca M. Colosimo et al. JOURNAL OF QUALITY TECHNOLOGY
- Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables
- (2018) Arman Sabbaghi et al. Annals of Applied Statistics
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
- (2018) David Silver et al. SCIENCE
- Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization
- (2018) Hao Yan et al. TECHNOMETRICS
- Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper
- (2017) Xiaowei Yue et al. IEEE Transactions on Automation Science and Engineering
- A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes
- (2017) Ki Bum Lee et al. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
- Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
- (2017) Jason Walonoski et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Smart manufacturing must embrace big data
- (2017) Andrew Kusiak NATURE
- Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition
- (2017) Hao Yan et al. TECHNOMETRICS
- Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
- (2017) Hao Yan et al. TECHNOMETRICS
- Statistical transfer learning: A review and some extensions to statistical process control
- (2017) Fugee Tsung et al. Quality Engineering
- A brief introduction to weakly supervised learning
- (2017) Zhi-Hua Zhou National Science Review
- Causation-Based T2 Decomposition for Multivariate Process Monitoring and Diagnosis
- (2017) Jing Li et al. JOURNAL OF QUALITY TECHNOLOGY
- Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing
- (2016) Pilsung Kang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics
- (2016) Kaibo Liu et al. IEEE Transactions on Automation Science and Engineering
- Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions
- (2016) Hao Yan et al. IEEE TRANSACTIONS ON RELIABILITY
- A review on measurement science needs for real-time control of additive manufacturing metal powder bed fusion processes
- (2016) Mahesh Mani et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly— Part II: Multistation Processes
- (2016) Tingyu Zhang et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Stream of Variation Modeling and Analysis for Compliant Composite Part Assembly—Part I: Single-Station Processes
- (2016) Tingyu Zhang et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis
- (2016) Kamran Paynabar et al. TECHNOMETRICS
- Identifying multi-stage nanocrystal growth using in situ TEM video data
- (2016) Yanjun Qian et al. IISE Transactions
- Image-Based Process Monitoring Using Low-Rank Tensor Decomposition
- (2015) Hao Yan et al. IEEE Transactions on Automation Science and Engineering
- Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
- (2015) Prahalad K. Rao et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- QQ Models: Joint Modeling for Quantitative and Qualitative Quality Responses in Manufacturing Systems
- (2015) Xinwei Deng et al. TECHNOMETRICS
- Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network
- (2014) Kaibo Liu et al. IEEE Transactions on Automation Science and Engineering
- A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing
- (2014) Gustavo Tapia et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- An Adaptive Sampling Strategy for Online High-Dimensional Process Monitoring
- (2014) Kaibo Liu et al. TECHNOMETRICS
- A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis
- (2013) Kaibo Liu et al. IEEE Transactions on Automation Science and Engineering
- Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis
- (2013) Kamran Paynabar et al. IIE TRANSACTIONS
- Objective-oriented optimal sensor allocation strategy for process monitoring and diagnosis by multivariate analysis in a Bayesian network
- (2012) Kaibo Liu et al. IIE TRANSACTIONS
- Characterization of non-linear profiles variations using mixed-effect models and wavelets
- (2011) Kamran Paynabar et al. IIE TRANSACTIONS
- Predictive Control Considering Model Uncertainty for Variation Reduction in Multistage Assembly Processes
- (2010) Jing Zhong et al. IEEE Transactions on Automation Science and Engineering
- Optimal sensor allocation by integrating causal models and set-covering algorithms
- (2010) Jing Li et al. IIE TRANSACTIONS
- A classification procedure for highly imbalanced class sizes
- (2010) Eunshin Byon et al. IIE TRANSACTIONS
- Design of DOE-Based Automatic Process Controller With Consideration of Model and Observation Uncertainties
- (2009) Jing Zhong et al. IEEE Transactions on Automation Science and Engineering
- Optimal fixture locator adjustment strategies for multi-station assembly processes
- (2009) Thavanrath Chaipradabgiat et al. IIE TRANSACTIONS
- Quality control and improvement for multistage systems: A survey
- (2009) Jianjun Shi et al. IIE TRANSACTIONS
- Semi-supervised learning by disagreement
- (2009) Zhi-Hua Zhou et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Tensor Decompositions and Applications
- (2009) Tamara G. Kolda et al. SIAM REVIEW
- Weakly Supervised Learning of a Classifier for Unusual Event Detection
- (2008) M. Jager et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search