Nowadays, customer-centric innovation is important in affective design, leading to the
design and development of a product that fits the needs of a group of target customers for …

The cryo-treatment has already emerged as the sustainable manufacturing process of the
future generation. It is an effective process to improve the tool life in different manufacturing …

Highlights•Data-driven genetic algorithm is proposed and employed for machining process
parameters optimization.•Deep learning is employed to automatically develop the data …

Turning is a basic machining technique where parameters may be optimised to improve
machining performance. The Taguchi and TOPSIS methods were used to find the …

Abstract Friction Stir Processing (FSP) involves the use of Silicon Carbide (SiC) and
Graphite (Gr) nanoparticles as reinforcements to enhance the properties of AZ91 Mg alloy …

Purpose The purpose of this paper is to summarize the advances in grey system theory
research and various application achievements in science and engineering. At the same …

The implementation of green supply chain management (GSCM) practices is still in its
rudimentary stage in small and medium-sized enterprises (SMEs) of emerging economies …

The purpose of this study is to improve the quality of the multi-track laser cladding coating.
The Taguchi-Grey relation method was selected to realize process parameter optimization …

The main concept of the authors is to place Reinforcement Learning (RL) into various fields
of manufacturing. As one of the first implementations, RL for Statistical Process Control …

In this study, the focus is on the joining of dissimilar Al alloys specifically AA6082 and
AA5456 plates using friction stir welding (FSW). Several welding input variables, namely tool …