With the increasing amount of available data, computing power and network speed for a
decreasing cost, the manufacturing industry is facing an unprecedented amount of data to …

Abstract Machine learning is concerned with enabling computer programs automatically to
improve their performance at some tasks through experience. Manufacturing is an area …

Currently, machine tool selection, cutting tool selection and machining conditions
determination are not usually performed at the same time but progressively, which may lead …

This paper presents a cloud enhanced cyber-physical system (cloud CPS) in manufacturing
by combining CPS and cloud technologies. The cloud CPS is enhanced by using the …

To improve flexibility and accurateness of the optimisation in machining, this paper presents
a big data analytics based optimisation method for enriched process planning in the concept …

The awareness about the importance of knowledge within the quality management
community is increasing. For example, the Malcolm Baldrige Criteria for Performance …

In modern manufacturing industries, defect prediction and prevention are the key features. In
this context, this chapter introduces a big data analytics based approach to scheduling and …

For the last quarter of the twentieth century one of the leading topics not only in industry has
without doubt been quality. Nowadays, growing world market globalisation and ruthless …

For the last quarter of the twentieth century one of the leading topics not only in industry has
without doubt been quality. Nowadays, growing world market globalisation and ruthless …