The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …

Process optimization normally involves the combination of mathematical and statistical
techniques which can be approached by distinct ways. Despite the fact that different …

In this study, an artificial neural network (ANN) based predictive model of average surface
roughness in turning hardened EN 24T steel has been presented. The prediction was …

Metal additive manufacturing (AM) technology, especially laser powder bed fusion (LPBF),
has received abundant interest from industries and the research community. Process …

In this paper, an automated two-staged multi-objective optimization tool for plastic injection
molding (PIM) is designed, implemented, and applied to industrial product. In the first stage …

Abstract Information-based optimal experimental designs are effective offline quality
improvement tools that provide insights into the information under complex engineering …

DMAIC (define, measure, analyze, improve and control) is one of the most utilized methods
for guiding practitioners in the decision-making process of quality improvement projects …

Helical milling is an eco-friendly hole-making process considering energy economy, tool
inventory reduction, tool life cycle increase, set-up and non-productive times reduction due …

The manufacturing of moulds and dies requires smooth surfaces and high-quality. This way,
the surface roughness is an essential parameter in finishing milling to improve the quality of …

Abstract Normal Boundary Intersection (NBI) is traditionally used to generate equally spaced
and uniformly spread Pareto Frontiers for multi-objective optimization programming (MOP) …