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An adaptive model-based deep reinforcement learning approach for matching-while-learning problem in shared manufacturing platforms.
Yang, Liu ; Qu, Yuan ; Yan, Pengyu ; et al.
International Journal of Production Research. Dec2025, p1-23. 23p. 7 Illustrations.

MARKOV processes COMPUTER integrated manu... REINFORCEMENT learning COMPUTER simulation DYNAMIC models MATCHING theory
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2

A knowledge-lite reinforcement learning framework for online scheduling in human–robot collaborative customized production systems.
Tang, Hao ; Wang, Zifeng ; Zhou, Nan ; et al.
International Journal of Production Research. Jan2026, p1-18. 18p. 6 Illustrations.

SCHEDULING FACTORS of production FLEXIBLE manufacturing s... REINFORCEMENT learning MULTI-objective optimiza... HUMAN-robot interaction …
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3

Multi-agent deep reinforcement learning for integrated production and maintenance optimisation in shared manufacturing.
Peng, Xiaoshuai ; Wang, Shiyi ; Wang, Kangzhou
International Journal of Production Research. Dec2025, Vol. 63 Issue 23, p8761-8780. 20p.

PRODUCTION planning SIMULATION methods & mod... RESOURCE allocation PROCESS optimization COMPUTER integrated manu... MARKOV processes …
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4

Deep reinforcement learning for solving hybrid flow shop scheduling problems with limited buffers.
Wang, Conghui ; Cao, Zhiguang ; Suppe, Arne Jonni ; et al.
International Journal of Production Research. Jan2026, p1-22. 22p. 9 Illustrations.

FLOW shop scheduling SCHEDULING ARTIFICIAL neural networ... REINFORCEMENT learning HYPOTHESIS NEURAL computers
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5

Digital twin-driven deep reinforcement learning for real-time optimisation in dynamic AGV systems.
Lee, Donggun ; Kang, Yong-Shin ; Noh, Sang Do
International Journal of Production Research. Jan2026, Vol. 64 Issue 1, p106-124. 19p.

LOGISTICS FAULT tolerance (Enginee... REAL-time computing DIGITAL twin REINFORCEMENT learning ROBOTIC path planning …
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6

Inventory replenishment and fulfilment decisions for an omnichannel retailer: a reinforcement learning-based method.
Kolyaei, Maryam ; Zhang, Lele ; Blom, Michelle
International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p9571-9592. 22p.

INVENTORY control RETAIL industry PROFIT maximization ONLINE shopping MARKOV processes REINFORCEMENT learning …
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7

Actor-critic driven deep reinforcement learning for optimising agri-food supply chain.
Shukla, Aditya ; Kakde, Shubham Tanaji ; Mitra, Rony ; et al.
International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p9913-9932. 20p.

PROFITABILITY SUGAR industry RESOURCE allocation REINFORCEMENT learning FOOD supply management
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8

Information sharing and confidentiality: a federated multi-agent reinforcement learning approach for supply chain coordination.
Zhang, Bo ; Tan, Wen Jun ; Cai, Wentong ; et al.
International Journal of Production Research. Dec2025, p1-19. 19p. 13 Illustrations.

INFORMATION sharing MATHEMATICAL optimizatio... INVENTORY control CONFIDENTIALITY agreemen... SUPPLY chains FEDERATED learning …
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9

A hierarchical reinforcement learning approach for real-time berth allocation and quay crane scheduling.
Jo, Seongbae ; Moon, Ilkyeong
International Journal of Production Research. Dec2025, Vol. 63 Issue 24, p10027-10052. 26p.

OPERATIONS research OPERATING costs REINFORCEMENT learning CARBON emissions CRANES (Machinery) CONTAINER terminals
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10

Dynamic scheduling for flexible job-shop with reconfigurable manufacturing cells considering dynamic job arrivals based on deep reinforcement learning.
Zheng, Liang ; Chen, Xiaodi ; Zhuang, Cunbo ; et al.
International Journal of Production Research. Oct2025, Vol. 63 Issue 20, p7427-7459. 33p.

SCHEDULING MANUFACTURING cells REINFORCEMENT learning
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11

Dynamic scheduling of wafer batch processing machines via reinforcement learning enhanced by expert-guided lightweight LLM.
Xiang, Wenbin ; Zhang, Jie ; Zhang, Peng ; et al.
International Journal of Production Research. Dec2025, p1-22. 22p. 10 Illustrations.

SEMICONDUCTOR manufactur... SCHEDULING BATCH processing REINFORCEMENT learning LANGUAGE models MULTIAGENT systems
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12

Facility layout optimisation of an intelligent manufacturing unit based on queueing network and deep reinforcement learning.
Li, Huan ; Zhang, Hui-yu ; Liao, Yong ; et al.
International Journal of Production Research. Oct2025, p1-24. 24p. 15 Illustrations.

QUEUEING networks RESOURCE management INDUSTRIAL efficiency INDUSTRY 4.0 DECISION making MARKOV processes …
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13

An end-to-end decentralised scheduling framework based on deep reinforcement learning for dynamic distributed heterogeneous flowshop scheduling.
Li, Haoran ; Gao, Liang ; Fan, Qingsong ; et al.
International Journal of Production Research. Jun2025, Vol. 63 Issue 12, p4368-4388. 21p.

REINFORCEMENT learning DEEP reinforcement learn... PARTIALLY observable Mar... FEATURE extraction AUTODIDACTICISM
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14

The beer game bullwhip effect mitigation: a deep reinforcement learning approach.
Rozhkov, Maxim ; Alyamovskaya, Nataliya ; Zakhodiakin, Gleb
International Journal of Production Research. Sep2025, Vol. 63 Issue 18, p6630-6647. 18p.

SUPPLY chains SUPPLY chain disruptions INVENTORY control REINFORCEMENT learning DEMAND forecasting REWARD (Psychology)
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15

Improving efficiency of steel converter facility: a digital twin and reinforcement learning approach.
Kumar, Amit ; Kumar, Ramesh
International Journal of Production Research. Apr2025, p1-16. 16p. 11 Illustrations.

DEEP reinforcement learn... REINFORCEMENT learning DISCRETE event simulatio... DIGITAL twin LIQUID iron
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17

Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning.
Zhao, Lixiang ; Zhu, Han ; Zhang, Min ; et al.
International Journal of Production Research. Jan2026, Vol. 64 Issue 2, p719-750. 32p.

UNCERTAINTY (Information... SCHEDULING REINFORCEMENT learning MIXED integer linear pro... DEEP learning HOSPITAL emergency servi... …
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18

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19

Flexible material handling system for multi-load autonomous mobile robots in manufacturing environments: a hierarchical reinforcement learning approach.
Park, Keonwoo ; Jo, Seongbae ; Shin, Youngchul ; et al.
International Journal of Production Research. Aug2025, Vol. 63 Issue 15, p5671-5691. 21p.

AUTOMATED materials hand... PRODUCTION scheduling MANUFACTURING industries PROCESS optimization REINFORCEMENT learning MOBILE robots …
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