Purpose Driven by the development in sensing techniques and information and
communications technology, and their applications in the manufacturing system, data-driven …

In the machine learning domain, active learning is an iterative data selection algorithm for
maximizing information acquisition and improving model performance with limited training …

An increasing number of researchers have researched fixture layout optimization for thin-
walled part assembly during the past decades. However, few papers systematically review …

Modern smart and intelligent manufacturing is characterised by an increasing use of highly
engineered surfaces and quasi‐free form geometries, for example, by additive …

Some response surface functions in complex engineering systems are usually highly
nonlinear, unformed, and expensive to evaluate. To tackle this challenge, Bayesian …

The analysis and improvement of product quality for process industry is an increasing
concern for academia and industry. As the outputs of a manufacturing system mainly depend …

A new shape control system has been developed to reduce the dimensional deviations
between two composite fuselages. To evaluate the system, the virtual assembly and residual …

Thin-walled structural parts, such as aeroengine casings, impellers, blades, and disks, are
widely used in the aerospace industry due to their outstanding performance. A more efficient …

Complex constrained global optimization problems such as optimal actuators placement are
extremely challenging. Such challenges, including nonlinearity and nonstationarity of …

Inventory control and variation reduction are critical and complicated issues for multistage
production processes (MPP) because reasonable inventory is key to ensuring continuous …