A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance
出版年份 2023 全文链接
标题
A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance
作者
关键词
-
出版物
COMPUTERS IN INDUSTRY
Volume 148, Issue -, Pages 103879
出版商
Elsevier BV
发表日期
2023-04-06
DOI
10.1016/j.compind.2023.103879
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions
- (2022) Daryl Powell et al. COMPUTERS IN INDUSTRY
- Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges
- (2022) Paul Kengfai Wan et al. COMPUTERS IN INDUSTRY
- Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
- (2021) Bianca Caiazzo et al. COMPUTERS IN INDUSTRY
- An evaluation of Lean and Six Sigma methodologies in the national health service
- (2021) Jiju Antony et al. International Journal of Quality & Reliability Management
- Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics
- (2020) Giuseppe Fragapane et al. ANNALS OF OPERATIONS RESEARCH
- Monitoring and repair of defects in ultrasonic additive manufacturing
- (2020) Venkata Karthik Nadimpalli et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- The complementary effect of lean manufacturing and digitalisation on operational performance
- (2020) Sven-Vegard Buer et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review
- (2020) Ting Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods
- (2019) Qinbang Zhou et al. SENSORS
- Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research
- (2019) Foivos Psarommatis et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- About Research: Conducting Online Surveys
- (2019) Helen L. Ball JOURNAL OF HUMAN LACTATION
- Segmentation-based deep-learning approach for surface-defect detection
- (2019) Domen Tabernik et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
- (2019) Yalin Wang et al. ISA TRANSACTIONS
- Health monitoring of bearing and gear faults by using a new health indicator extracted from current signals
- (2019) Moncef Soualhi et al. MEASUREMENT
- Strategic defect management for a sustainable green supply chain
- (2019) Prerna Gautam et al. JOURNAL OF CLEANER PRODUCTION
- Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine
- (2019) Zhuyun Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network
- (2019) Pangun Park et al. SENSORS
- A generative neural network model for the quality prediction of work in progress products
- (2019) Guodong Wang et al. APPLIED SOFT COMPUTING
- Model-based vehicular prognostics framework using Big Data architecture
- (2019) Alberto Petrillo et al. COMPUTERS IN INDUSTRY
- Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network
- (2019) Ruonan Liu et al. IEEE Transactions on Industrial Informatics
- Repairing surface defects of metal parts by groove machining and wire + arc based filling
- (2019) Yongzhe Li et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy
- (2019) Xiaofeng Yuan et al. IEEE Transactions on Industrial Informatics
- Using regression models for predicting the product quality in a tubing extrusion process
- (2018) Vicente García et al. JOURNAL OF INTELLIGENT MANUFACTURING
- The expected contribution of Industry 4.0 technologies for industrial performance
- (2018) Lucas Santos Dalenogare et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- An intelligent virtual metrology system with adaptive update for semiconductor manufacturing
- (2017) Seokho Kang et al. JOURNAL OF PROCESS CONTROL
- Multi-step virtual metrology for semiconductor manufacturing: A multilevel and regularization methods-based approach
- (2015) Gian Antonio Susto et al. COMPUTERS & OPERATIONS RESEARCH
- A Sampling Decision System for Virtual Metrology in Semiconductor Manufacturing
- (2015) Daniel Kurz et al. IEEE Transactions on Automation Science and Engineering
- Prediction of surface roughness quality of green abrasive water jet machining: a soft computing approach
- (2015) Jagadish et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Design and management of manufacturing systems for production quality
- (2014) Marcello Colledani et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
- (2009) Zhigang Tian JOURNAL OF INTELLIGENT MANUFACTURING
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 MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started