Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …

With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …

Due to its practicality, hybrid flowshop scheduling problem (HFSP) with productivity objective
has been extensively explored. However, studies on HFSP considering green objective in …

Green scheduling in the manufacturing industry has attracted increasing attention in
academic research and industrial applications with a focus on energy saving. As a typical …

The design and development of low-carbon products have become a recent global concern
due to serious greenhouse gas emissions and climate change. The design phase …

Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …

Manufacturing enterprises nowadays face huge environmental challenges because of
energy consumption and associated environmental impacts. One of the effective strategies …

Energy-efficient scheduling of distributed production systems has become a common
practice among large companies with the advancement of economic globalization and …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

The flowshop sequence-dependent group scheduling problem (FSDGSP) with the
production efficiency measures has been extensively studied due to its wide industrial …