Energy efficiency has become an integral part of the metal manufacturing industries as a
means to improve economic and environmental performance, and increase …

The recent advances in technology and the demand for highly customized products have
been forcing manufacturing companies to adapt and develop new solutions in order to …

This paper considers two pertinent research inquiries:'Can an AI-based predictive
framework be utilised for the optimisation of solar energy management?'and 'What are the …

Energy efficiency modeling is of great importance to energy management and conservation
for machinery enterprises. To improve the generalization ability, this article combines the …

This paper presents a data-driven digital twin (DT) framework that predicts key performance
indicators (KPIs) in a CNC machining environment. The decision-makers can use these …

This work studies a discrete manufacturing scheduling problem faced by companies with
energy-intensive processes. A scheduling environment with parallel dedicated machines is …

Abstract Machine tools (MTs), as the key equipment of manufacturing systems, have
enormous quantities and consume a great amount of energy. However, the diversity of both …

Abstract machinery enterprises can benefit greatly from including energy efficiency models
into their energy management and conservation efforts. Due to a lack of theoretical …

CNC machine tools play an important role in manufacturing and are characterized by high
total energy consumption and low energy efficiency. The energy consumption characteristics …

Accurate and rapid prediction of the energy consumption of CNC machining is an effective
means to realize the lean management of CNC machine tools energy consumption as well …