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:
Reinforcement learning applied to production planning and control
Ana Esteso, David Peidro, Josefa Mula, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 16, pp. 5772-5789
Open Access | Times Cited: 73
Ana Esteso, David Peidro, Josefa Mula, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 16, pp. 5772-5789
Open Access | Times Cited: 73
Showing 1-25 of 73 citing articles:
Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 52
Kun Lei, Peng Guo, Yi Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 1007-1018
Closed Access | Times Cited: 52
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 38
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 38
A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 14
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 14
Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda
Conn Smyth, Denis Dennehy, Samuel Fosso Wamba, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 23, pp. 8537-8561
Open Access | Times Cited: 13
Conn Smyth, Denis Dennehy, Samuel Fosso Wamba, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 23, pp. 8537-8561
Open Access | Times Cited: 13
Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review
Anna Presciuttini, Alessandra Cantini, Federica Costa, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 477-486
Open Access | Times Cited: 12
Anna Presciuttini, Alessandra Cantini, Federica Costa, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 477-486
Open Access | Times Cited: 12
A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses
Kunpeng Li, Tengbo Liu, P.N. Ram Kumar, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 185, pp. 103518-103518
Closed Access | Times Cited: 9
Kunpeng Li, Tengbo Liu, P.N. Ram Kumar, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 185, pp. 103518-103518
Closed Access | Times Cited: 9
A deep reinforcement learning based hyper-heuristic for modular production control
Marcel Panzer, Benedict Bender, Norbert Gronau
International Journal of Production Research (2023) Vol. 62, Iss. 8, pp. 2747-2768
Open Access | Times Cited: 14
Marcel Panzer, Benedict Bender, Norbert Gronau
International Journal of Production Research (2023) Vol. 62, Iss. 8, pp. 2747-2768
Open Access | Times Cited: 14
Artificial Intelligence to Solve Production Scheduling Problems in Real Industrial Settings: Systematic Literature Review
Mateo Del Gallo, Giovanni Mazzuto, Filippo Emanuele Ciarapica, et al.
Electronics (2023) Vol. 12, Iss. 23, pp. 4732-4732
Open Access | Times Cited: 14
Mateo Del Gallo, Giovanni Mazzuto, Filippo Emanuele Ciarapica, et al.
Electronics (2023) Vol. 12, Iss. 23, pp. 4732-4732
Open Access | Times Cited: 14
Interdisciplinary Perspectives on Agent-Based Modeling in the Architecture, Engineering, and Construction Industry: A Comprehensive Review
Silvia Mazzetto
Buildings (2024) Vol. 14, Iss. 11, pp. 3480-3480
Open Access | Times Cited: 5
Silvia Mazzetto
Buildings (2024) Vol. 14, Iss. 11, pp. 3480-3480
Open Access | Times Cited: 5
Enabling Technologies to Support Supply Chain Logistics 5.0
Beatriz Andrés, Manuel Díaz‐Madroñero, António Lucas Soares, et al.
IEEE Access (2024) Vol. 12, pp. 43889-43906
Open Access | Times Cited: 4
Beatriz Andrés, Manuel Díaz‐Madroñero, António Lucas Soares, et al.
IEEE Access (2024) Vol. 12, pp. 43889-43906
Open Access | Times Cited: 4
A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
Funing Li, Sebastian Lang, Yuan Tian, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 4
Funing Li, Sebastian Lang, Yuan Tian, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 4
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, et al.
Computers & Industrial Engineering (2025), pp. 110856-110856
Open Access
A Deep Reinforcement Learning Model for the Automation of a Collaborative Purchasing Process
Mario J. Seni, David Peidro
Lecture notes in computer science (2025), pp. 289-303
Closed Access
Mario J. Seni, David Peidro
Lecture notes in computer science (2025), pp. 289-303
Closed Access
Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study
Xinyue Hao, Emrah Demir, Daniel Eyers
Journal of Modelling in Management (2025)
Closed Access
Xinyue Hao, Emrah Demir, Daniel Eyers
Journal of Modelling in Management (2025)
Closed Access
A planning and execution framework for robotic assembly with deformable objects using a centralized database based on the Rαβγ categorization
Ran Shneor, Gali Naveh, Shir Ben-David, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Ran Shneor, Gali Naveh, Shir Ben-David, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Deep Reinforcement Learning for Facilitating Human-Robot Interaction in Manufacturing
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access
Harnessing Artificial Intelligence for Optimum Performance in Industrial Automation
Talha Ahmed Khan, Syed Mubashir Ali, Khidir M. Ali, et al.
(2025), pp. 105-105
Open Access
Talha Ahmed Khan, Syed Mubashir Ali, Khidir M. Ali, et al.
(2025), pp. 105-105
Open Access
Categorized Attention Based Hierarchical-agents Reinforcement Learning for Multi-objective Dynamic Job Shop Scheduling Problem With Machine Deterioration
Yibing Li, X. Liang, Jun Guo, et al.
Applied Soft Computing (2025), pp. 113032-113032
Closed Access
Yibing Li, X. Liang, Jun Guo, et al.
Applied Soft Computing (2025), pp. 113032-113032
Closed Access
The beer game bullwhip effect mitigation: a deep reinforcement learning approach
Maxim Rozhkov, Nataliya Alyamovskaya, Г В Заходякин
International Journal of Production Research (2025), pp. 1-18
Closed Access
Maxim Rozhkov, Nataliya Alyamovskaya, Г В Заходякин
International Journal of Production Research (2025), pp. 1-18
Closed Access
Hierarchical decision and control method for the human-exoskeleton collaborative packaging system based on deep reinforcement learning
Bin Wang, Hao Tang, Shurun Wang, et al.
Computers & Industrial Engineering (2025), pp. 111063-111063
Closed Access
Bin Wang, Hao Tang, Shurun Wang, et al.
Computers & Industrial Engineering (2025), pp. 111063-111063
Closed Access
Solving quay wall allocation problems based on deep reinforcement learning
Young-in Cho, Seung-Heon Oh, J U Choi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110598-110598
Closed Access
Young-in Cho, Seung-Heon Oh, J U Choi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110598-110598
Closed Access
Reinforcement learning and stochastic dynamic programming for jointly scheduling jobs and preventive maintenance on a single machine to minimise earliness-tardiness
Sabri Abderrazzak, Hamid Allaoui, Omar Souissi
International Journal of Production Research (2023) Vol. 62, Iss. 3, pp. 705-719
Closed Access | Times Cited: 9
Sabri Abderrazzak, Hamid Allaoui, Omar Souissi
International Journal of Production Research (2023) Vol. 62, Iss. 3, pp. 705-719
Closed Access | Times Cited: 9
Designing an adaptive and deep learning based control framework for modular production systems
Marcel Panzer, Norbert Gronau
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 8, pp. 4113-4136
Open Access | Times Cited: 9
Marcel Panzer, Norbert Gronau
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 8, pp. 4113-4136
Open Access | Times Cited: 9
Digital twin-based reinforcement learning framework: application to autonomous mobile robot dispatching
Amel Jaoua, Samar Masmoudi, Elisa Negri
International Journal of Computer Integrated Manufacturing (2024) Vol. 37, Iss. 10-11, pp. 1335-1358
Closed Access | Times Cited: 3
Amel Jaoua, Samar Masmoudi, Elisa Negri
International Journal of Computer Integrated Manufacturing (2024) Vol. 37, Iss. 10-11, pp. 1335-1358
Closed Access | Times Cited: 3
