{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T02:15:13Z","timestamp":1783044913356,"version":"3.54.6"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52475543"],"award-info":[{"award-number":["52475543"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012663","name":"Henan Province University Innovation Talents Support Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018607","name":"Henan Province Science and Technology Innovation Talent Program","doi-asserted-by":"publisher","award":["24HASTIT048"],"award-info":[{"award-number":["24HASTIT048"]}],"id":[{"id":"10.13039\/501100018607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","award":["252300421101"],"award-info":[{"award-number":["252300421101"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004262","name":"Zhengzhou University of Light Industry","doi-asserted-by":"publisher","award":["23XNKJTD010"],"award-info":[{"award-number":["23XNKJTD010"]}],"id":[{"id":"10.13039\/501100004262","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers &amp; Industrial Engineering"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.cie.2026.112135","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T15:13:02Z","timestamp":1779376382000},"page":"112135","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Research on a worker skill level-aware pulsating assembly scheduling method for aircraft based on the GIN-PPO algorithm"],"prefix":"10.1016","volume":"218","author":[{"given":"Xiaoyu","family":"Wen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4707-347X","authenticated-orcid":false,"given":"Wenchao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwen","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siren","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.cie.2026.112135_b0005","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1057\/palgrave.jors.2601563","article-title":"Solving the Multi-mode resource-constrained project scheduling problem with genetic algorithms","volume":"54","author":"Alcaraz","year":"2003","journal-title":"Journal of the Operational Research Society"},{"key":"10.1016\/j.cie.2026.112135_b0010","first-page":"108","article-title":"The multi-skilled resource-constrained project scheduling problem: systematic review and an exploration of future landscapes. management systems","volume":"1 (32","author":"Bahroun","year":"2024","journal-title":"Production Engineering"},{"key":"10.1016\/j.cie.2026.112135_b0015","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.jmsy.2023.07.003","article-title":"A surrogate-assisted heuristic approach for the joint optimization of resource allocation and scheduling of an aircraft final assembly line","volume":"70","author":"Bao","year":"2023","journal-title":"Journal of Manufacturing Systems"},{"key":"10.1016\/j.cie.2026.112135_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109436","article-title":"An aircraft final assembly line balancing problem considering resource constraints and parallel task scheduling","volume":"182","author":"Bao","year":"2023","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2026.112135_b0025","doi-asserted-by":"crossref","unstructured":"Bao, Z., & Chen, L. (2025). Ramp-up planning for aircraft assembly production considering learning effect. Computers & Industrial Engineering, 111336 10.1016\/j.cie.2025.111336.","DOI":"10.1016\/j.cie.2025.111336"},{"key":"10.1016\/j.cie.2026.112135_b0030","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.procir.2024.08.264","article-title":"Advanced procedures and scheduling for aircraft assembly processes: A systematic review approach","volume":"126","author":"Blanco","year":"2024","journal-title":"Procedia CIRP"},{"issue":"3","key":"10.1016\/j.cie.2026.112135_b0035","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/0377-2217(91)90304-E","article-title":"Mathematical programming formulations for machine scheduling: A survey","volume":"51","author":"Blazewicz","year":"1991","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0040","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/s10479-023-05629-3","article-title":"Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective","volume":"338","author":"Borreguero Sanchidri\u00e1n","year":"2024","journal-title":"Ann. Oper. Res."},{"issue":"4","key":"10.1016\/j.cie.2026.112135_b0045","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1007\/s10845-017-1303-9","article-title":"On the robustness of joint production and maintenance scheduling in presence of uncertainties","volume":"30","author":"Boudjelida","year":"2019","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2","key":"10.1016\/j.cie.2026.112135_b0050","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/S0377-2217(99)00489-0","article-title":"A linear programming and constraint propagation-based lower bound for the RCPSP","volume":"127","author":"Brucker","year":"2000","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.cie.2026.112135_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2023.102628","article-title":"Deep reinforcement learning for solving resource constrained project scheduling problems with resource disruptions","volume":"85","author":"Cai","year":"2024","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0060","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.cor.2010.01.001","article-title":"Reactive scheduling in the multi-mode RCPSP","volume":"38","author":"Deblaere","year":"2011","journal-title":"Computers & Operations Research"},{"issue":"11","key":"10.1016\/j.cie.2026.112135_b0065","doi-asserted-by":"crossref","first-page":"7468","DOI":"10.1109\/TII.2021.3051896","article-title":"Flexible worker allocation in aircraft final assembly line using multiobjective evolutionary algorithms","volume":"17","author":"Fang","year":"2021","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.cie.2026.112135_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2023.102620","article-title":"Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly","volume":"85","author":"Guo","year":"2024","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"key":"10.1016\/j.cie.2026.112135_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.109911","article-title":"Network-based two-stage robust scheduling strategy for the aircraft assembly system with uncertain duration","volume":"188","author":"Hu","year":"2024","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2026.112135_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101549","article-title":"A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture","volume":"87","author":"Hu","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.cie.2026.112135_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2022.101128","article-title":"A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem","volume":"74","author":"Huang","year":"2022","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.cie.2026.112135_b0090","doi-asserted-by":"crossref","unstructured":"Kolisch, R., Hartmann, S. (1999). Heuristic Algorithms for the Resource-Constrained Project Scheduling Problem: Classification and Computational Analysis. In: W\u0119glarz, J. (eds) Project Scheduling. International Series in Operations Research & Management Science, vol 14. Springer, Boston, MA. https:\/\/doi.org\/10.1007\/978-1-4615-5533-9_7.","DOI":"10.1007\/978-1-4615-5533-9_7"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0095","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.ejor.2005.01.065","article-title":"Experimental investigation of heuristics for resource-constrained project scheduling: An update","volume":"174","author":"Kolisch","year":"2006","journal-title":"European journal of operational research"},{"issue":"10","key":"10.1016\/j.cie.2026.112135_b0100","article-title":"A multi-agent system for distributed multi-project scheduling with two-stage decomposition","volume":"13","author":"Li","year":"2018","journal-title":"PLoS One1"},{"key":"10.1016\/j.cie.2026.112135_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124794","article-title":"A new resource-constrained project scheduling problem with ladder-type carbon trading prices and its algorithm based on deep reinforcement learning","volume":"255","author":"Liu","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0110","doi-asserted-by":"crossref","first-page":"9642","DOI":"10.1038\/s41598-025-94027-9","article-title":"Static scheduling method for aircraft flat-tail assembly production based on improved bi-level genetic algorithm","volume":"15","author":"Li","year":"2025","journal-title":"Scientific Reports"},{"issue":"2","key":"10.1016\/j.cie.2026.112135_b0115","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1080\/00207543.2021.2011982","article-title":"Managing disruptions in aircraft assembly lines with staircase criteria","volume":"61","author":"Lovato","year":"2022","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2026.112135_b0120","doi-asserted-by":"crossref","unstructured":"Meng, W., Zheng, Q., Pan, G., & Yin, Y. (2023, June). Off-policy proximal policy optimization. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 8, pp. 9162-9170) 10.1609\/aaai.v37i8.26099.","DOI":"10.1609\/aaai.v37i8.26099"},{"issue":"19","key":"10.1016\/j.cie.2026.112135_b0125","doi-asserted-by":"crossref","first-page":"5790","DOI":"10.1080\/00207543.2020.1790686","article-title":"Reactive scheduling approach for solving a realistic flexible job shop scheduling problem","volume":"59","author":"Mihoubi","year":"2021","journal-title":"International journal of production research"},{"issue":"5","key":"10.1016\/j.cie.2026.112135_b0130","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1287\/mnsc.44.5.714","article-title":"An exact algorithm for the resource-constrained project scheduling problem based on a new mathematical formulation","volume":"44","author":"Mingozzi","year":"1998","journal-title":"Management science"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0135","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s10111-024-00785-3","article-title":"Human factors and emerging needs in aerospace manufacturing planning and scheduling","volume":"27","author":"Morandini","year":"2025","journal-title":"Cognition, Technology & Work"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0140","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/S0360-8352(96)00212-4","article-title":"Resource-constrained project scheduling with renewable and non-renewable resources and time-resource tradeoffs","volume":"32","author":"Nudtasomboon","year":"1997","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2026.112135_b0145","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/B978-0-444-87358-3.50009-2","article-title":"Heuristic algorithms for resource-constrained project scheduling: A review and an empirical analysis","author":"Olagu\u00edbel","year":"1989","journal-title":"Advances in Project Scheduling"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0150","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1287\/mnsc.16.1.93","article-title":"Multiproject scheduling with limited resources: A zero-one programming approach","volume":"16","author":"Pritsker","year":"1969","journal-title":"Management Science"},{"key":"10.1016\/j.cie.2026.112135_b0155","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.jmsy.2024.08.006","article-title":"A multi-level action coupling reinforcement learning approach for online two-stage flexible assembly flow shop scheduling","volume":"76","author":"Qiu","year":"2024","journal-title":"Journal of Manufacturing Systems"},{"issue":"8","key":"10.1016\/j.cie.2026.112135_b0160","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.1007\/s11590-020-01542-x","article-title":"A branch-and-bound embedded genetic algorithm for resource-constrained project scheduling problem with resource transfer time of aircraft moving assembly line","volume":"14","author":"Ren","year":"2020","journal-title":"Optimization Letters"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0165","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s10799-015-0223-7","article-title":"An adaptive genetic algorithm for demand-driven and resource-constrained project scheduling in aircraft assembly","volume":"18","author":"Shan","year":"2017","journal-title":"Information Technology and Management"},{"issue":"5","key":"10.1016\/j.cie.2026.112135_b0170","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1287\/mnsc.46.5.710.12044","article-title":"Scheduling resource-constrained projects competitively at modest memory requirements","volume":"46","author":"Sprecher","year":"2000","journal-title":"Management Science"},{"issue":"4","key":"10.1016\/j.cie.2026.112135_b0175","doi-asserted-by":"crossref","first-page":"3844","DOI":"10.1109\/LRA.2019.2929983","article-title":"An efficient scheduling algorithm for multi-robot task allocation in assembling aircraft structures","volume":"4","author":"Tereshchuk","year":"2019","journal-title":"IEEE Robotics and Automation Letters"},{"key":"10.1016\/j.cie.2026.112135_b0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2021.102154","article-title":"A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints","volume":"71","author":"Tereshchuk","year":"2021","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"1","key":"10.1016\/j.cie.2026.112135_b0185","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.cirp.2018.04.038","article-title":"Order allocation and sequencing with variable degree of uncertainty in aircraft manufacturing","volume":"67","author":"Urgo","year":"2018","journal-title":"CIRP Annals"},{"key":"10.1016\/j.cie.2026.112135_b0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.tre.2025.104012","article-title":"Aircraft maintenance scheduling under uncertain task processing time","volume":"196","author":"Villafranca","year":"2025","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.cie.2026.112135_b0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110370","article-title":"Human\u2013machine collaborative optimization method for dynamic worker allocation in aircraft final assembly lines","volume":"194","author":"Wang","year":"2024","journal-title":"Computers & Industrial Engineering"},{"issue":"19","key":"10.1016\/j.cie.2026.112135_b0200","doi-asserted-by":"crossref","first-page":"5867","DOI":"10.1080\/00207543.2020.1794075","article-title":"Adaptive scheduling for assembly job shop with uncertain assembly times based on dual Q-learning","volume":"59","author":"Wang","year":"2021","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.cie.2026.112135_b0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126441","article-title":"Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times","volume":"270","author":"Wang","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.cie.2026.112135_b0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110263","article-title":"An improved genetic algorithm based on reinforcement learning for aircraft assembly scheduling problem","volume":"193","author":"Wen","year":"2024","journal-title":"Computers & Industrial Engineering"},{"key":"10.1016\/j.cie.2026.112135_b0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.101911","article-title":"An improved NSGA-II algorithm based on reinforcement learning for aircraft moving assembly line integration optimization problem","volume":"94","author":"Wen","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"issue":"6","key":"10.1016\/j.cie.2026.112135_b0220","doi-asserted-by":"crossref","first-page":"4938","DOI":"10.1109\/TAES.2022.3211247","article-title":"Double-layer Q-learning-based joint decision-making of dual resource-constrained aircraft assembly scheduling and flexible preventive maintenance","volume":"58","author":"Yan","year":"2022","journal-title":"IEEE Transactions on aerospace and electronic systems"},{"key":"10.1016\/j.cie.2026.112135_b0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2022.105823","article-title":"Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm","volume":"144","author":"Yan","year":"2022","journal-title":"Computers & Operations Research"},{"issue":"8","key":"10.1016\/j.cie.2026.112135_b0230","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1080\/15623599.2023.2260696","article-title":"Multi-skill resource-constrained project scheduling problem considering overlapping: Fuzzy multi-objective programming approach to a case study","volume":"24","author":"Zarei","year":"2023","journal-title":"International Journal of Construction Management"},{"key":"10.1016\/j.cie.2026.112135_b0235","doi-asserted-by":"crossref","DOI":"10.1109\/TII.2024.3435539","article-title":"Elite gene transfer learning heuristic algorithm in scheduling aircraft assembly","author":"Zhang","year":"2024","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.cie.2026.112135_b0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102024","article-title":"A knowledge transfer-based co-evolutionary algorithm for dynamic large-scale crude oil scheduling","volume":"97","author":"Zhang","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.cie.2026.112135_b0245","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.jmsy.2025.03.005","article-title":"Dynamic flexible flow shop scheduling via cross-attention networks and multi-agent reinforcement learning","volume":"80","author":"Zheng","year":"2025","journal-title":"Journal of Manufacturing Systems"},{"issue":"15","key":"10.1016\/j.cie.2026.112135_b0250","doi-asserted-by":"crossref","first-page":"4756","DOI":"10.1080\/00207543.2020.1771456","article-title":"A reactive scheduling method for disturbances in aircraft moving assembly line","volume":"59","author":"Zhu","year":"2021","journal-title":"International Journal of Production Research"}],"container-title":["Computers &amp; Industrial Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835226003360?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0360835226003360?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T01:15:16Z","timestamp":1783041316000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0360835226003360"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":50,"alternative-id":["S0360835226003360"],"URL":"https:\/\/doi.org\/10.1016\/j.cie.2026.112135","relation":{},"ISSN":["0360-8352"],"issn-type":[{"value":"0360-8352","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Research on a worker skill level-aware pulsating assembly scheduling method for aircraft based on the GIN-PPO algorithm","name":"articletitle","label":"Article Title"},{"value":"Computers & Industrial Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cie.2026.112135","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112135"}}