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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dynamic scheduling method for integrated process planning and scheduling problem with machine fault
Xiaoyu Wen, Xiaonan Lian, Yunjie Qian, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102334-102334
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties
Hao Wang, Tao Peng, Aydin Nassehi, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 288-308
Closed Access | Times Cited: 29
An effective reformative memetic algorithm for distributed flexible job-shop scheduling problem with order cancellation
Nan Zhu, Guiliang Gong, Di’an Lu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121205-121205
Closed Access | Times Cited: 26
Examining the coupling and coordination of water-energy-food nexus at a sub-national scale in India – Insights from the perspective of Sustainable Development Goals
Krishna Mondal, Chandranath Chatterjee, Rajendra Singh
Sustainable Production and Consumption (2023) Vol. 43, pp. 140-154
Closed Access | Times Cited: 22
Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks
Zhaoqi Wang, Lu Zhang, Wei Tang, et al.
Applied Energy (2024) Vol. 361, pp. 122931-122931
Closed Access | Times Cited: 11
A hybrid genetic algorithm with multiple decoding methods for energy-aware remanufacturing system scheduling problem
Wenjie Wang, Guangdong Tian, Honghao Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102509-102509
Closed Access | Times Cited: 35
A novel MILP model for job shop scheduling problem with mobile robots
Youjie Yao, Qi-Hao Liu, Xinyu Li, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102506-102506
Closed Access | Times Cited: 30
Multi-dimensional modeling and abnormality handling of digital twin shop floor
Bin Xiao, Qinglin Qi, Fei Tao
Journal of Industrial Information Integration (2023) Vol. 35, pp. 100492-100492
Closed Access | Times Cited: 18
Improved genetic algorithm based on multi-layer encoding approach for integrated process planning and scheduling problem
Xiaoyu Wen, Yunjie Qian, Xiaonan Lian, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 84, pp. 102593-102593
Closed Access | Times Cited: 16
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals
Jiang‐Ping Huang, Liang Gao, Xinyu Li, et al.
Computers & Industrial Engineering (2023) Vol. 185, pp. 109650-109650
Closed Access | Times Cited: 16
Constraint programming-based layered method for integrated process planning and scheduling in extensive flexible manufacturing
Mengya Zhang, Xinyu Li, Liang Gao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103210-103210
Closed Access
Demand-driven hierarchical integrated planning-scheduling control for a mobile robot-operated flexible smart manufacturing system
Chen Li, Kshitij Bhatta, Muhammad Waseem, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 95, pp. 103015-103015
Closed Access
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin
Mingyi Guo, Xifeng Fang, Qi Wu, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 345-358
Closed Access | Times Cited: 14
Modeling and solving the problem of scheduling university exams in terms of new constraints on the conflicts of professors' exams and the concurrence of exams with common questions
Saeedeh Bazari, Alireza Pooya, Omid Soleimani Fard, et al.
OPSEARCH (2023) Vol. 60, Iss. 2, pp. 877-915
Closed Access | Times Cited: 7
Integrated optimization of process planning and scheduling problems based on complex networks
Kai Guo, Yan Liang, Mu‐Qing Niu, et al.
Journal of Industrial Information Integration (2023) Vol. 36, pp. 100533-100533
Closed Access | Times Cited: 6
Integrated Optimization of Process Planning and Scheduling for Aerospace Complex Component Based on Honey-Bee Mating Algorithm
Guozhe Yang, Qing-ze Tan, Zhiqiang Tian, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5190-5190
Open Access | Times Cited: 5
Digital-Twin-Enabled Framework for Training and Deploying AI Agents for Production Scheduling
Emmanouil Bakopoulos, Vasilis Siatras, Panagiotis Mavrothalassitis, et al.
(2024), pp. 147-179
Open Access | Times Cited: 1
Research on data mapping and fusion method of ship production workshop based on digital twins
Lei Wang, Jianxun Chen, Yu Zhang, et al.
Measurement and Control (2024) Vol. 57, Iss. 9, pp. 1255-1267
Open Access | Times Cited: 1
Smart scheduling of hanging workshop via digital twin and deep reinforcement learning
Jianguo Pan, Ruirui Zhong, Bingtao Hu, et al.
Flexible Services and Manufacturing Journal (2024)
Closed Access | Times Cited: 1
Designing Dispatching Rules via Novel Genetic Programming with Feature Selection in Dynamic Job-Shop Scheduling
Adilanmu Sitahong, Yiping Yuan, Ming Li, et al.
Processes (2022) Vol. 11, Iss. 1, pp. 65-65
Open Access | Times Cited: 3
Multi-Objectives Optimization with Digital Twin for Mixed-flow Production Line
Jinjin Liu, Xuesong Xu, Tang Kangchen, et al.
2022 5th International Symposium on Autonomous Systems (ISAS) (2024), pp. 1-5
Closed Access
A Deep Reinforcement Learning Approach for Production Scheduling with the Use of Dispatch Rules
Panagiotis Mavrothalassitis, Emmanouil Bakopoulos, Vasilis Siatras, et al.
Lecture notes in mechanical engineering (2024), pp. 43-50
Closed Access
Dynamic job shop scheduling performance evaluation based on green intelligent manufacturing and thermal efficiency improvement
Fangyan Dong, Qiubo Zhong, Y. S. Liao, et al.
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102785-102785
Closed Access
Smart scheduling for next generation manufacturing systems: a systematic literature review
Shriprasad Chorghe, Rishi Kumar, Makarand S. Kulkarni, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Enhanced Monte‐Carlo tree search for dynamic flexible job shop scheduling with transportation time constraints
Zhou He, Biao Tang, Chan Gu, et al.
Expert Systems (2024)
Closed Access
Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning
Fujie Ren, Haibin Liu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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