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Journal of Intelligent Manufacturing

Journal of Intelligent Manufacturing OnlineFirst articles

23-11-2020

Mathematical modeling and a hybrid evolutionary algorithm for process planning

Process planning is an essential part of the manufacturing system linking the designing and practical manufacturing. However, the reported process planning models are too simple to describe all characteristics because of the complexity of process …

23-11-2020

Pitfalls and protocols of data science in manufacturing practice

Driven by ongoing migration for Industry 4.0, the increasing adoption of artificial intelligence, big data analytics, cloud computing, Internet of Things, and robotics have empowered smart manufacturing and digital transformation. However …

23-11-2020

Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM

This paper describes two algorithms for feature extraction from the Poincaré plot which is constructed with the vibration signals measured in roller bearings and gearboxes. The extracted features are used for classifying 10 types of fault …

23-11-2020

Machine learning integrated design for additive manufacturing

For improving manufacturing efficiency and minimizing costs, design for additive manufacturing (AM) has been accordingly proposed. The existing design for AM methods are mainly surrogate model based. Due to the increasingly available data …

23-11-2020

A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing

Fault detection is one of the most important research topics to guarantee safe operation and product quality consistency especially in the batch process of semiconductor manufacturing. However, the imbalanced fault data bring great challenges to …

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About this journal

Published bimonthly, the Journal of Intelligent Manufacturing provides a unique international forum for developers of intelligent manufacturing systems. By publishing quality refereed papers on the application of artificial intelligence in manufacturing, the Journal provides a vital link between the research community and practitioners in industry.

In addition to research papers, the Journal of Intelligent Manufacturing features articles on new methodologies and developments, case studies, surveys, and tutorials on topics related to product design, manufacturing, and service systems. Papers in emerging areas such as biomanufacturing, nanotechnology, and energy are welcome. Periodically special issues on topics of interest to the readership are published.

Officially cited as:

J Intell Manuf

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