{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:19:15Z","timestamp":1783153155354,"version":"3.54.6"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"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":["62133011"],"award-info":[{"award-number":["62133011"]}],"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":["62203336"],"award-info":[{"award-number":["62203336"]}],"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":["62403365"],"award-info":[{"award-number":["62403365"]}],"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":["62373288"],"award-info":[{"award-number":["62373288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFB3312301"],"award-info":[{"award-number":["2024YFB3312301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Swarm and Evolutionary Computation"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.swevo.2026.102408","type":"journal-article","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T14:09:39Z","timestamp":1778249379000},"page":"102408","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["An evolutionary game-based optimization approach for multi-tier collaborative capacity allocation in industrial chains with chain master enterprise"],"prefix":"10.1016","volume":"105","author":[{"given":"Mingzhe","family":"She","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanshan","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenze","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhifang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8902-5460","authenticated-orcid":false,"given":"Min","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.swevo.2026.102408_b1","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s12063-021-00233-9","article-title":"Production scheduling optimization for parallel machines subject to physical distancing due to COVID-19 pandemic","volume":"15","author":"Bazargan-Lari","year":"2022","journal-title":"Oper. Manag. Res."},{"issue":"4","key":"10.1016\/j.swevo.2026.102408_b2","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1007\/s12063-023-00381-0","article-title":"An efficiency-based aggregate production planning model for multi-line manufacturing systems","volume":"16","author":"Naji Nasrabadi Yazd","year":"2023","journal-title":"Oper. Manag. Res."},{"issue":"01","key":"10.1016\/j.swevo.2026.102408_b3","first-page":"1","article-title":"Survey on optimization algorithms for distributed shop scheduling","volume":"31","author":"Wang","year":"2016","journal-title":"Control Decis."},{"key":"10.1016\/j.swevo.2026.102408_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107367","article-title":"A bi-objective stochastic order planning problem in make-to-order multi-site textile manufacturing","volume":"158","author":"Zhang","year":"2021","journal-title":"Comput. Ind. Eng."},{"issue":"9","key":"10.1016\/j.swevo.2026.102408_b5","doi-asserted-by":"crossref","first-page":"3030","DOI":"10.1080\/00207543.2022.2075292","article-title":"Joint optimisation of uncertain distributed manufacturing and preventive maintenance for semiconductor wafers considering multi-energy complementary","volume":"61","author":"Dong","year":"2023","journal-title":"Int. J. Prod. Res."},{"issue":"5","key":"10.1016\/j.swevo.2026.102408_b6","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1080\/00207543.2024.2390979","article-title":"Optimising distributed heterogeneous flowshop group scheduling arising from PCB mounting: integrating construction and improvement heuristics","volume":"63","author":"Han","year":"2025","journal-title":"Int. J. Prod. Res."},{"issue":"9","key":"10.1016\/j.swevo.2026.102408_b7","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1080\/0034340022000022198","article-title":"How does insertion in global value chains affect upgrading in industrial clusters?","volume":"36","author":"Humphrey","year":"2002","journal-title":"Reg. Stud."},{"key":"10.1016\/j.swevo.2026.102408_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2021.105210","article-title":"A new upper bound for the multiple knapsack problem","volume":"129","author":"Detti","year":"2021","journal-title":"Comput. Oper. Res."},{"issue":"1","key":"10.1016\/j.swevo.2026.102408_b9","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s10845-014-0890-y","article-title":"A survey of multi-factory scheduling","volume":"27","author":"Behnamian","year":"2016","journal-title":"J. Intell. Manuf."},{"issue":"6","key":"10.1016\/j.swevo.2026.102408_b10","doi-asserted-by":"crossref","first-page":"5051","DOI":"10.1109\/TCYB.2020.3026571","article-title":"A knowledge-based two-population optimization algorithm for distributed energy-efficient parallel machines scheduling","volume":"52","author":"Pan","year":"2020","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.swevo.2026.102408_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101668","article-title":"A cooperative learning-aware dynamic hierarchical hyper-heuristic for distributed heterogeneous mixed no-wait flow-shop scheduling","volume":"90","author":"Zhu","year":"2024","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102408_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101559","article-title":"An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems","volume":"87","author":"Zhang","year":"2024","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2026.102408_b13","doi-asserted-by":"crossref","first-page":"3379","DOI":"10.1109\/TASE.2021.3119353","article-title":"An ant colony optimization behavior-based MOEA\/D for distributed heterogeneous hybrid flow shop scheduling problem under nonidentical time-of-use electricity tariffs","volume":"19","author":"Shao","year":"2021","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102408_b14","doi-asserted-by":"crossref","first-page":"7409","DOI":"10.1109\/TASE.2024.3371940","article-title":"Distributed heterogeneous flow shop scheduling method for dual-carbon goals","volume":"22","author":"Yan","year":"2025","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102408_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109217","article-title":"Multi-Objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness","volume":"179","author":"Hou","year":"2023","journal-title":"Comput. Ind. Eng."},{"issue":"10","key":"10.1016\/j.swevo.2026.102408_b16","doi-asserted-by":"crossref","first-page":"11930","DOI":"10.1109\/TII.2024.3413335","article-title":"Scheduling and logistics optimization for batch manufacturing processes with temperature constraints and alternative thermal devices","volume":"20","author":"Zhao","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.swevo.2026.102408_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijpe.2025.109687","article-title":"Production\u2013inventory planning in high-tech low-volume manufacturing supply chains","volume":"288","author":"Fleuren","year":"2025","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.swevo.2026.102408_b18","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 Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102408_b19","doi-asserted-by":"crossref","first-page":"7435","DOI":"10.1109\/TASE.2024.3422473","article-title":"A Knowledge-Driven cooperative coevolutionary algorithm for integrated distributed production and transportation scheduling problem","volume":"22","author":"Wang","year":"2025","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102408_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.101945","article-title":"Learning-driven memetic algorithm for solving integrated distributed production and transportation scheduling problem","volume":"96","author":"Zhao","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102408_b21","doi-asserted-by":"crossref","first-page":"5272","DOI":"10.1109\/TASE.2024.3418370","article-title":"Multi-product multi-stage multi-period resource allocation for minimizing batch-processing steel production cost","volume":"22","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102408_b22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/0305215X.2025.2548361","article-title":"Two-stage robust optimizer for multi-product multi-process resource allocation in steel production systems","author":"Zhang","year":"2025","journal-title":"Eng. Optim."},{"key":"10.1016\/j.swevo.2026.102408_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106267","article-title":"Integrated fabric procurement and multi-site apparel production planning with cross-docking: A hybrid fuzzy-robust stochastic programming approach","volume":"92","author":"Darvishi","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.swevo.2026.102408_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2019.102136","article-title":"Integrated purchasing and production planning for a non-Ferrous metal production network","volume":"98","author":"Siemon","year":"2021","journal-title":"Omega"},{"key":"10.1016\/j.swevo.2026.102408_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124925","article-title":"Two-stage evolutionary game model on complex networks for emergency logistics based on blockchain platform","volume":"256","author":"Xue","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102408_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.seps.2025.102269","article-title":"Collaborate or compete? Decentralized resource allocation between local authorities during COVID-19 based on evolutionary game theory","author":"Wang","year":"2025","journal-title":"Soc.-Econ. Plan. Sci."},{"key":"10.1016\/j.swevo.2026.102408_b27","doi-asserted-by":"crossref","DOI":"10.1016\/j.renene.2025.122423","article-title":"Research on value co-creation of green hydrogen value chain considering carbon emission trading: A multi-layer complex network evolutionary game perspective","volume":"242","author":"Liu","year":"2025","journal-title":"Renew. Energy"},{"key":"10.1016\/j.swevo.2026.102408_b28","series-title":"2017 Chinese Automation Congress","first-page":"5588","article-title":"Evolutionary game theoretic approach for optimal resource allocation in multi-agent systems","author":"Sun","year":"2017"},{"issue":"3","key":"10.1016\/j.swevo.2026.102408_b29","doi-asserted-by":"crossref","first-page":"4993","DOI":"10.1109\/TVT.2024.3498866","article-title":"Evolutionary game caching resource allocation strategy for 6G networks","volume":"74","author":"Wang","year":"2025","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"10.1016\/j.swevo.2026.102408_b30","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1111\/poms.13550","article-title":"Ordering behavior and the impact of allocation mechanisms in an integrated distribution system","volume":"31","author":"Spiliotopoulou","year":"2022","journal-title":"Prod. Oper. Manage."}],"container-title":["Swarm and Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226001288?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226001288?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:55:54Z","timestamp":1783151754000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210650226001288"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":30,"alternative-id":["S2210650226001288"],"URL":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102408","relation":{},"ISSN":["2210-6502"],"issn-type":[{"value":"2210-6502","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An evolutionary game-based optimization approach for multi-tier collaborative capacity allocation in industrial chains with chain master enterprise","name":"articletitle","label":"Article Title"},{"value":"Swarm and Evolutionary Computation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102408","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102408"}}