{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T01:44:26Z","timestamp":1785980666362,"version":"3.56.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010814","name":"Anhui Provincial Department of Education","doi-asserted-by":"publisher","award":["KJ2020A0069"],"award-info":[{"award-number":["KJ2020A0069"]}],"id":[{"id":"10.13039\/501100010814","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010814","name":"Anhui Provincial Department of Education","doi-asserted-by":"publisher","award":["KJ2021A0095"],"award-info":[{"award-number":["KJ2021A0095"]}],"id":[{"id":"10.13039\/501100010814","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013139","name":"Humanities and Social Science Fund of Ministry of Education of China","doi-asserted-by":"publisher","award":["22YJC630050"],"award-info":[{"award-number":["22YJC630050"]}],"id":[{"id":"10.13039\/501100013139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M710996"],"award-info":[{"award-number":["2022M710996"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017668","name":"Anhui Provincial Key Research and Development Plan","doi-asserted-by":"publisher","award":["2022a05020023"],"award-info":[{"award-number":["2022a05020023"]}],"id":[{"id":"10.13039\/501100017668","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2108085QG291"],"award-info":[{"award-number":["2108085QG291"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["2108085QG287"],"award-info":[{"award-number":["2108085QG287"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72301005"],"award-info":[{"award-number":["72301005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72301004"],"award-info":[{"award-number":["72301004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Industrial Information Integration"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.jii.2026.101152","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T20:11:42Z","timestamp":1781208702000},"page":"101152","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Human-Robot Collaborative Supply Chain Scheduling via Reinforcement Learning, Large Neighborhood Search, and Large Language Models"],"prefix":"10.1016","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1121-8724","authenticated-orcid":false,"given":"Weijian","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tinglong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5939-9795","authenticated-orcid":false,"given":"Amir M.","family":"Fathollahi-Fard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8456-9736","authenticated-orcid":false,"given":"Maxim A.","family":"Dulebenets","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.jii.2026.101152_bib0001","doi-asserted-by":"crossref","first-page":"2439","DOI":"10.1109\/TEM.2020.3017004","article-title":"Critical success factors of industry 4.0 in automotive manufacturing industry","volume":"69","author":"Bhatia","year":"2020","journal-title":"IEEE Transactions on Engineering Management"},{"key":"10.1016\/j.jii.2026.101152_bib0002","first-page":"1542","article-title":"Significant applications of smart materials and Internet of Things (IoT) in the automotive industry","volume":"68","author":"Ammar","year":"2022","journal-title":"Materials Today: Proceedings"},{"key":"10.1016\/j.jii.2026.101152_bib0003","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1016\/j.promfg.2020.01.119","article-title":"Flexible manufacturing systems using IIoT in the automotive sector","volume":"38","author":"Cronin","year":"2019","journal-title":"Procedia Manufacturing"},{"issue":"6","key":"10.1016\/j.jii.2026.101152_bib0004","doi-asserted-by":"crossref","first-page":"1874","DOI":"10.1080\/00207543.2021.1876941","article-title":"An enhanced branch-and-price algorithm for the integrated production and transportation scheduling problem","volume":"60","author":"He","year":"2022","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101152_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109190","article-title":"A self-adaptive hyper-heuristic based multi-objective optimisation approach for integrated supply chain scheduling problems","volume":"251","author":"Mahmud","year":"2022","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.jii.2026.101152_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2020.105105","article-title":"Integrated supply chain scheduling of procurement, production, and distribution under spillover effects","volume":"126","author":"Wang","year":"2021","journal-title":"Computers & Operations Research"},{"key":"10.1016\/j.jii.2026.101152_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108845","article-title":"Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: A distributionally robust approach","volume":"175","author":"Hashemi-Amiri","year":"2023","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101152_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101467","article-title":"A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution","volume":"85","author":"Zhang","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.jii.2026.101152_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2026.102369","article-title":"Deep reinforcement learning based bi-level optimization for order acceptance and scheduling: A slow-moving inventory activation policy for resilient manufacturing","volume":"104","author":"Kong","year":"2026","journal-title":"Swarm and Evolutionary Computation"},{"issue":"5","key":"10.1016\/j.jii.2026.101152_bib0010","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1007\/s10462-024-10756-9","article-title":"Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions","volume":"57","author":"Zhou","year":"2024","journal-title":"Artificial Intelligence Review"},{"issue":"1","key":"10.1016\/j.jii.2026.101152_bib0011","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1080\/00207543.2021.1998695","article-title":"Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning","volume":"61","author":"Hu","year":"2023","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101152_bib0012","article-title":"A reinforcement learning-driven framework for the Q-commerce multi-product unit scheduling problem","author":"Zhang","year":"2025","journal-title":"Electronic Commerce Research and Applications"},{"issue":"13","key":"10.1016\/j.jii.2026.101152_bib0013","doi-asserted-by":"crossref","first-page":"4049","DOI":"10.1080\/00207543.2022.2058432","article-title":"Deep reinforcement learning for dynamic scheduling of a flexible job shop","volume":"60","author":"Liu","year":"2022","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101152_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101236","article-title":"RL-GA: A reinforcement learning-based genetic algorithm for electromagnetic detection satellite scheduling problem","volume":"77","author":"Song","year":"2023","journal-title":"Swarm and Evolutionary Computation"},{"issue":"11","key":"10.1016\/j.jii.2026.101152_bib0015","doi-asserted-by":"crossref","DOI":"10.1080\/17517575.2025.2541199","article-title":"Potential of large language models in blockchain-based supply chain finance","volume":"19","author":"Yang","year":"2025","journal-title":"Enterprise Information Systems"},{"issue":"4","key":"10.1016\/j.jii.2026.101152_bib0016","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1007\/s10844-025-00940-w","article-title":"Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models","volume":"63","author":"Powell","year":"2025","journal-title":"Journal of Intelligent Information Systems"},{"key":"10.1016\/j.jii.2026.101152_bib0017","first-page":"1","article-title":"Smart outbound scheduling for textile warehousing: an integrated ALNS optimisation algorithm and LLM-based fuzzy decision-making framework","author":"Pan","year":"2026","journal-title":"Journal of Engineering Design"},{"key":"10.1016\/j.jii.2026.101152_bib0018","series-title":"AI in Supply Chains: Perspectives from Global Thought Leaders","first-page":"93","article-title":"Large language models for supply chain decisions","author":"Simchi-Levi","year":"2026"},{"key":"10.1016\/j.jii.2026.101152_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.111264","article-title":"A simheuristic approach towards supply chain scheduling: Integrating production, maintenance and distribution","volume":"153","author":"Rabet","year":"2024","journal-title":"Applied Soft Computing"},{"issue":"4","key":"10.1016\/j.jii.2026.101152_bib0020","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1287\/trsc.1050.0135","article-title":"An adaptive large neighborhood search heuristic for the pickup and delivery problem with time windows","volume":"40","author":"Ropke","year":"2006","journal-title":"Transportation Science"},{"key":"10.1016\/j.jii.2026.101152_bib0021","series-title":"International conference on principles and practice of constraint programming","first-page":"417","article-title":"Using constraint programming and local search methods to solve vehicle routing problems","author":"Shaw","year":"1998"},{"key":"10.1016\/j.jii.2026.101152_bib0022","article-title":"A survey of adaptive large neighborhood search algorithms and applications","volume":"146","author":"Mara","year":"2022","journal-title":"Computers & Operations Research"},{"issue":"1","key":"10.1016\/j.jii.2026.101152_bib0023","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.ejor.2023.02.028","article-title":"Efficient feasibility checks and an adaptive large neighborhood search algorithm for the time-dependent green vehicle routing problem with time windows","volume":"310","author":"Liu","year":"2023","journal-title":"European Journal of Operational Research"},{"issue":"3","key":"10.1016\/j.jii.2026.101152_bib0024","doi-asserted-by":"crossref","first-page":"1164","DOI":"10.1016\/j.ejor.2021.02.027","article-title":"An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots","volume":"294","author":"Chen","year":"2021","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.jii.2026.101152_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108128","article-title":"A new hybridization of adaptive large neighborhood search with constraint programming for open shop scheduling with sequence-dependent setup times","volume":"168","author":"Abreu","year":"2022","journal-title":"Computers & Industrial Engineering"},{"issue":"2","key":"10.1016\/j.jii.2026.101152_bib0026","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1080\/0305215X.2024.2328188","article-title":"A parallel deep adaptive large neighbourhood search algorithm for distributed heterogeneous hybrid flow shops with mixed-model assembly scheduling","volume":"57","author":"Shao","year":"2025","journal-title":"Engineering Optimization"},{"key":"10.1016\/j.jii.2026.101152_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2026.107415","article-title":"Adaptive large neighborhood search algorithm for redesigning a closed-loop supply chain network considering capacity configurations","volume":"190","author":"Fathollahi-Fard","year":"2026","journal-title":"Computers & Operations Research"},{"key":"10.1016\/j.jii.2026.101152_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101808","article-title":"A revised deep reinforcement learning algorithm for parallel machine scheduling problem under multi-scenario due date constraints","volume":"92","author":"Zhang","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"issue":"3","key":"10.1016\/j.jii.2026.101152_bib0029","first-page":"279","article-title":"Q-learning","volume":"8","author":"Dayan","year":"1992","journal-title":"Machine Learning"},{"key":"10.1016\/j.jii.2026.101152_bib0030","first-page":"14","volume":"37","author":"Rummery","year":"1994"},{"key":"10.1016\/j.jii.2026.101152_bib0031","doi-asserted-by":"crossref","first-page":"2834","DOI":"10.1109\/TNSRE.2022.3210700","article-title":"Intermediate sensory feedback assisted multi-step neural decoding for reinforcement learning based brain-machine interfaces","volume":"30","author":"Shen","year":"2022","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"10.1016\/j.jii.2026.101152_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110440","article-title":"Deep reinforcement learning for traffic signal control with consistent state and reward design approach","volume":"267","author":"Bouktif","year":"2023","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.jii.2026.101152_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.109976","article-title":"Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm","volume":"189","author":"Mumtaz","year":"2024","journal-title":"Computers & Industrial Engineering"},{"issue":"6","key":"10.1016\/j.jii.2026.101152_bib0034","doi-asserted-by":"crossref","first-page":"3803","DOI":"10.1007\/s10586-022-03786-x","article-title":"Multi objective task scheduling algorithm in cloud computing using grey wolf optimization","volume":"26","author":"Mangalampalli","year":"2023","journal-title":"Cluster Computing"},{"issue":"3","key":"10.1016\/j.jii.2026.101152_bib0035","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1109\/TEVC.2021.3106168","article-title":"A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling","volume":"26","author":"Wang","year":"2021","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"3","key":"10.1016\/j.jii.2026.101152_bib0036","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1016\/j.ejor.2015.05.019","article-title":"Carbon-efficient scheduling of flow shops by multi-objective optimization","volume":"248","author":"Ding","year":"2016","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.jii.2026.101152_bib0037","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.cie.2016.03.010","article-title":"A priority based genetic algorithm for nonlinear transportation costs problems","volume":"96","author":"Tari","year":"2016","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101152_bib0038","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ijpe.2014.08.017","article-title":"Integrated batch production and distribution scheduling with limited vehicle capacity","volume":"160","author":"Gao","year":"2015","journal-title":"International Journal of Production Economics"},{"issue":"11","key":"10.1016\/j.jii.2026.101152_bib0039","doi-asserted-by":"crossref","first-page":"2289","DOI":"10.1080\/00207540310001657595","article-title":"Scheduling in flowshops to minimize total tardiness of jobs","volume":"42","author":"Hasija","year":"2004","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101152_bib0040","series-title":"Design and analysis of experiments","author":"Montgomery","year":"2017"},{"issue":"1","key":"10.1016\/j.jii.2026.101152_bib0041","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","article-title":"A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms","volume":"1","author":"Derrac","year":"2011","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.jii.2026.101152_bib0042","series-title":"Distribution-free multiple comparisons","author":"Nemenyi","year":"1963"},{"issue":"12","key":"10.1016\/j.jii.2026.101152_bib0043","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1037\/0003-066X.49.12.997","article-title":"The earth is round (p<. 05)","volume":"49","author":"Cohen","year":"1994","journal-title":"American Psychologist"},{"key":"10.1016\/j.jii.2026.101152_bib0044","first-page":"1","article-title":"A hybrid optimization algorithm for large-scale flexible job-shop scheduling problems","author":"Huang","year":"2025","journal-title":"Engineering Optimization"},{"issue":"4","key":"10.1016\/j.jii.2026.101152_bib0045","doi-asserted-by":"crossref","first-page":"4799","DOI":"10.1007\/s11227-021-04050-6","article-title":"Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem","volume":"78","author":"Alkhateeb","year":"2022","journal-title":"The Journal of Supercomputing"},{"key":"10.1016\/j.jii.2026.101152_bib0046","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.jmsy.2023.09.002","article-title":"A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems","volume":"71","author":"Xie","year":"2023","journal-title":"Journal of Manufacturing Systems"},{"issue":"4","key":"10.1016\/j.jii.2026.101152_bib0047","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1007\/s41870-023-01549-4","article-title":"An optimized algorithm for resource utilization in cloud computing based on the hybridization of meta-heuristic algorithms","volume":"17","author":"Jamal","year":"2025","journal-title":"International Journal of Information Technology"},{"key":"10.1016\/j.jii.2026.101152_bib0048","first-page":"1","article-title":"A large language model-based manufacturing process planning approach under industry 5.0","author":"Ni","year":"2025","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.jii.2026.101152_bib0049","first-page":"1","article-title":"Generative AI meets CAD: enhancing engineering design to manufacturing processes with large language models","author":"Daareyni","year":"2025","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"10.1016\/j.jii.2026.101152_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2025.111197","article-title":"Multi-agent large language models as evolutionary optimizers for scheduling optimization","volume":"206","author":"Wang","year":"2025","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.jii.2026.101152_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2025.111299","article-title":"Large language model-driven multi-agent systems for improving production efficiency and reducing carbon emissions in manufacturing","volume":"207","author":"Wu","year":"2025","journal-title":"Computers & Industrial Engineering"},{"issue":"5","key":"10.1016\/j.jii.2026.101152_bib0052","doi-asserted-by":"crossref","first-page":"3101","DOI":"10.1109\/TCYB.2022.3151855","article-title":"Multiobjective flexible job-shop rescheduling with new job insertion and machine preventive maintenance","volume":"53","author":"An","year":"2022","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.jii.2026.101152_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107790","article-title":"A deep reinforcement learning model for dynamic job-shop scheduling problem with uncertain processing time","volume":"131","author":"Wu","year":"2024","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.jii.2026.101152_bib0054","doi-asserted-by":"crossref","DOI":"10.1016\/j.jii.2024.100727","article-title":"Proximal policy optimization with population-based variable neighborhood search algorithm for coordinating photo-etching and acid-etching processes in sustainable storage chip manufacturing","volume":"42","author":"Zhang","year":"2024","journal-title":"Journal of Industrial Information Integration"},{"key":"10.1016\/j.jii.2026.101152_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2022.102365","article-title":"A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping","volume":"78","author":"Liu","year":"2022","journal-title":"Robotics and Computer-Integrated Manufacturing"}],"container-title":["Journal of Industrial Information Integration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452414X26000944?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2452414X26000944?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T00:54:19Z","timestamp":1785977659000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2452414X26000944"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":55,"alternative-id":["S2452414X26000944"],"URL":"https:\/\/doi.org\/10.1016\/j.jii.2026.101152","relation":{},"ISSN":["2452-414X"],"issn-type":[{"value":"2452-414X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Human-Robot Collaborative Supply Chain Scheduling via Reinforcement Learning, Large Neighborhood Search, and Large Language Models","name":"articletitle","label":"Article Title"},{"value":"Journal of Industrial Information Integration","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jii.2026.101152","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"101152"}}