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Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …
A review of energy-efficient scheduling in intelligent production systems
Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop
C Lu, Q Liu, B Zhang, L Yin - Expert Systems with Applications, 2022 - Elsevier
Due to its practicality, hybrid flowshop scheduling problem (HFSP) with productivity objective
has been extensively explored. However, studies on HFSP considering green objective in …
has been extensively explored. However, studies on HFSP considering green objective in …
Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints
Manufacturing enterprises nowadays face huge environmental challenges because of
energy consumption and associated environmental impacts. One of the effective strategies …
energy consumption and associated environmental impacts. One of the effective strategies …
A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem
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 …
academic research and industrial applications with a focus on energy saving. As a typical …
Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
Life cycle-oriented low-carbon product design based on the constraint satisfaction problem
L Kong, L Wang, F Li, J Li, Y Wang, Z Cai… - Energy Conversion and …, 2023 - Elsevier
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 …
due to serious greenhouse gas emissions and climate change. The design phase …
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers
Energy-efficient scheduling of distributed production systems has become a common
practice among large companies with the advancement of economic globalization and …
practice among large companies with the advancement of economic globalization and …
A greedy cooperative co-evolutionary algorithm with problem-specific knowledge for multiobjective flowshop group scheduling problems
The flowshop sequence-dependent group scheduling problem (FSDGSP) with the
production efficiency measures has been extensively studied due to its wide industrial …
production efficiency measures has been extensively studied due to its wide industrial …
A multi-objective scheduling and routing problem for home health care services via brain storm optimization
At present, home health care (HHC) has been accepted as an effective method for handling
the healthcare problems of the elderly. The HHC scheduling and routing problem …
the healthcare problems of the elderly. The HHC scheduling and routing problem …