Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning
Y Gui, Z Zhang, D Tang, H Zhu, Y Zhang - Advanced Engineering …, 2024 - Elsevier
Personalized product demands have made the production mode of many varieties and small
batches mainstream. Self-organizing manufacturing systems represented by multi-agent …
batches mainstream. Self-organizing manufacturing systems represented by multi-agent …
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line
This study addresses a bi-objective disassembly line scheduling problem (Bi-DLSP),
considering interference relationships among tasks. The objectives are to optimize the total …
considering interference relationships among tasks. The objectives are to optimize the total …
Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching …
Y Fu, Z Zhang, P Liang, G Tian… - Engineering Optimization, 2024 - Taylor & Francis
The energy crisis and environmental pollution are receiving increasing attention from
governments and communities. This study researches energy-aware remanufacturing …
governments and communities. This study researches energy-aware remanufacturing …
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly
Remanufacturing stands as a cornerstone strategy for end-of-life (EOL) product
management, playing a vital role in fostering a circular economy. Despite its significance, the …
management, playing a vital role in fostering a circular economy. Despite its significance, the …
An improved artificial bee colony algorithm for the multi-objective cooperative disassembly sequence optimization problem considering carbon emissions and profit
Z Chen, H Cheng, Y Liu, M Aljuaid - Engineering Optimization, 2024 - Taylor & Francis
The disassembly and recycling of electronic waste are essential for realizing residual value,
lowering carbon emissions and fostering sustainable development. This article addresses …
lowering carbon emissions and fostering sustainable development. This article addresses …
Multicycle Characterization of Surface Roughness in Stereolithography-based Additive Manufacturing Using a Methacrylate-based Thermoresponsive Copolymer
Additive manufacturing of stimuli-responsive materials, that is, 4D printing, has recently
drawn attention given its unique ability to fabricate smart structures that can change shape …
drawn attention given its unique ability to fabricate smart structures that can change shape …
Enhancing Low-Carbon Routing Through Additive Manufacturing of Reconfigurable Products: An Exploratory Study
The reduction and neutrality of carbon emissions have emerged as major concerns
spanning various stages of product life cycles. Additive manufacturing (AM), with its process …
spanning various stages of product life cycles. Additive manufacturing (AM), with its process …
Application of Inhomogeneous QMIX in Various Architectures to Solve Dynamic Scheduling in Manufacturing Environments
D Heik, A Bohm, F Bahrpeyma… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
In light of the growth in data availability, the manufacturing industry is experiencing a
growing change in its needs and shape, which necessitates the use of more efficient data …
growing change in its needs and shape, which necessitates the use of more efficient data …