A digital twin-driven flexible scheduling method in a human–machine collaborative workshop based on hierarchical reinforcement learning

A review of digital twin-driven machining: From digitization to intellectualization

(2023) Shimin Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop

(2021) Zhongwei Zhang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Human–Robot Task Allocation and Scheduling: Boeing 777 Case Study

(2021) Andy Ham et al.   IEEE Robotics and Automation Letters

Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach

(2021) Hongfeng Wang et al.   ADVANCED ENGINEERING INFORMATICS

Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning

(2021) Shu Luo et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A Human-Centered Dynamic Scheduling Architecture for Collaborative Application

(2021) Andrea Pupa et al.   IEEE Robotics and Automation Letters

A flexible configuration method of distributed manufacturing resources in the context of social manufacturing

(2021) Yi Zhang et al.   COMPUTERS IN INDUSTRY

Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling With Dynamic Reference Point-Based Fuzzy Relative Entropy

(2021) Lijun He et al.   IEEE Transactions on Industrial Informatics

Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system

(2021) Chiu-Hsiang Lin et al.   JOURNAL OF MANUFACTURING SYSTEMS

Multi-agent reinforcement learning for online scheduling in smart factories

(2021) Tong Zhou et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system

(2020) Jianping Dou et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network

(2020) Liang Hu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Mathematical model and bee algorithms for mixed-model assembly line balancing problem with physical human–robot collaboration

(2020) Zeynel Abidin Çil et al.   APPLIED SOFT COMPUTING

Human-Centered Collaborative Robots With Deep Reinforcement Learning

(2020) Ali Ghadirzadeh et al.   IEEE Robotics and Automation Letters

Optimal strategies for the yard truck scheduling in container terminal with the consideration of container clusters

(2019) Xiaoyuan Hu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing

(2019) Wenjun Xu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Mutual trust-based subtask allocation for human–robot collaboration in flexible lightweight assembly in manufacturing

(2018) S.M. Mizanoor Rahman et al.   MECHATRONICS