[HTML][HTML] Reinforcement learning for disassembly system optimization problems: A survey
The disassembly complexity of end-of-life products increases continuously. Traditional
methods are facing difficulties in solving the decision-making and control problems of …
methods are facing difficulties in solving the decision-making and control problems of …
Industry 4.0 and prospects of circular economy: a survey of robotic assembly and disassembly
Despite their contributions to the financial efficiency and environmental sustainability of
industrial processes, robotic assembly and disassembly have been understudied in the …
industrial processes, robotic assembly and disassembly have been understudied in the …
Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions
Disassembly sequence planning (DSP) has gained active research interest since the 90s
due to increasing environmental awareness and stricter regulations regarding end-of-life …
due to increasing environmental awareness and stricter regulations regarding end-of-life …
Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …
increasing attention. They effectively preserve the ecological environment and promote the …
Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem
Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Disassembly sequence planning: a survey
It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …
pollution if they are poorly be handled. They contain reusable resource that can be recycled …
Path planning method with improved artificial potential field—a reinforcement learning perspective
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …
with the local-stable-point problem in complex environments, it needs to modify the potential …
A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems
Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …
production systems. This paper considers a width deviation prediction problem and …
Multiobjective U-shaped disassembly line balancing problem considering human fatigue index and an efficient solution
The progress of science and technology speeds up the replacement of products and
produces a large number of end-of-life products. Traditional incineration causes a waste of …
produces a large number of end-of-life products. Traditional incineration causes a waste of …
Robotic disassembly line balancing and sequencing problem considering energy-saving and high-profit for waste household appliances
Y Zeng, Z Zhang, T Yin, H Zheng - Journal of Cleaner Production, 2022 - Elsevier
Waste household appliances contain hazardous substances and valuable components. The
timely disposal of these waste products can avoid environmental pollution and improve the …
timely disposal of these waste products can avoid environmental pollution and improve the …