{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T15:16:23Z","timestamp":1778944583653,"version":"3.51.4"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.ins.2026.123602","type":"journal-article","created":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T22:15:43Z","timestamp":1778451343000},"page":"123602","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A Bi-Level structured decomposition algorithm for intelligent Multi-Factory scheduling with batch delivery"],"prefix":"10.1016","volume":"753","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3963-1171","authenticated-orcid":false,"given":"Fateme","family":"Marandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2017-1723","authenticated-orcid":false,"given":"Madjid","family":"Tavana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.ins.2026.123602_b0005","doi-asserted-by":"crossref","first-page":"2945","DOI":"10.1007\/s10462-021-10081-5","article-title":"Recent trends in distributed production network scheduling problem","volume":"55","author":"Bagheri Rad","year":"2022","journal-title":"Artif. Intell. Rev."},{"issue":"3","key":"10.1016\/j.ins.2026.123602_b0010","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1007\/s10479-022-04795-0","article-title":"An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment","volume":"339","author":"Modibbo","year":"2024","journal-title":"Ann. Oper. Res."},{"issue":"7","key":"10.1016\/j.ins.2026.123602_b0015","doi-asserted-by":"crossref","first-page":"4447","DOI":"10.1007\/s10845-024-02484-2","article-title":"Smart scheduling for next generation manufacturing systems: a systematic literature review","volume":"36","author":"Chorghe","year":"2025","journal-title":"J. Intell. Manuf."},{"issue":"6","key":"10.1016\/j.ins.2026.123602_b0020","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.1080\/00207543.2022.2049909","article-title":"Integrated scheduling of a multi-site mining supply chain with blending, alternative routings and co-production","volume":"61","author":"Hilali","year":"2023","journal-title":"Int. J. Prod. Res."},{"issue":"5","key":"10.1016\/j.ins.2026.123602_b0025","first-page":"4999","article-title":"Robust maintenance planning and scheduling for multi-factory production networks considering disruption cost: a bi-objective optimization model and a metaheuristic solution method","volume":"22","author":"Razavi Al-e-hashem","year":"2022","journal-title":"Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0030","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.ins.2012.07.020","article-title":"The heterogeneous multi-factory production network scheduling with adaptive communication policy and parallel machine","volume":"219","author":"Behnamian","year":"2013","journal-title":"Inf. Sci."},{"issue":"3","key":"10.1016\/j.ins.2026.123602_b0035","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1080\/00207543.2018.1481301","article-title":"Integrated multi-factory production and distribution scheduling applying vehicle routing approach","volume":"57","author":"Marandi","year":"2019","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.ins.2026.123602_b0040","article-title":"An integrated fuzzy MCDM approach based on Bonferroni functions for selection and evaluation of industrial robots for the automobile manufacturing industry","volume":"213","author":"Garg","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123602_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2025.122169","article-title":"Integrated distributed flexible job shop scheduling and vehicle routing problem via Q-learning-based evolutionary algorithms","volume":"713","author":"Fu","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2026.123602_b0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/00207543.2024.2408671","article-title":"A self-adaptive Gaussian mutation-based arithmetic optimiser algorithm for integrated production scheduling and vehicle routing problem in the distributed manufacturing environment","author":"Zhang","year":"2024","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.ins.2026.123602_b0055","first-page":"1","article-title":"A new coordinating model for green supply chain and batch delivery scheduling with satisfaction customers","author":"Ganji","year":"2022","journal-title":"Environ. Dev. Sustain."},{"key":"10.1016\/j.ins.2026.123602_b0060","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.asoc.2018.02.002","article-title":"A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain","volume":"65","author":"Gharaei","year":"2018","journal-title":"Appl. Soft Comput."},{"issue":"7","key":"10.1016\/j.ins.2026.123602_b0065","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1080\/00207543.2020.1797207","article-title":"Production planning and scheduling in multi-factory production networks: a systematic literature review","volume":"59","author":"Lohmer","year":"2021","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.ins.2026.123602_b0070","first-page":"1","article-title":"Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective","author":"Xu","year":"2024","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0075","first-page":"S1447","volume":"55","author":"Behnamian","year":"2021","journal-title":"Multi-Objective Multi-Factory Scheduling. RAIRO-Operations Research"},{"key":"10.1016\/j.ins.2026.123602_b0080","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."},{"key":"10.1016\/j.ins.2026.123602_b0085","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.cor.2014.03.005","article-title":"Scheduling multiple factory cranes on a common track","volume":"48","author":"Peterson","year":"2014","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0090","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.tre.2015.04.002","article-title":"Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits","volume":"79","author":"Sun","year":"2015","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"10.1016\/j.ins.2026.123602_b0095","series-title":"June). Scheduling and Batching in Multi-Site Flexible Flow Shop Environments","first-page":"1","author":"Santos","year":"2015"},{"issue":"1","key":"10.1016\/j.ins.2026.123602_b0100","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.eswa.2014.07.025","article-title":"A branch and bound method for solving multi-factory supply chain scheduling with batch delivery","volume":"42","author":"Karimi","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123602_b0105","article-title":"The multi-factory two-stage assembly scheduling problem","volume":"38","author":"Kazemi","year":"2024","journal-title":"J. Ind. Inf. Integr."},{"issue":"3","key":"10.1016\/j.ins.2026.123602_b0110","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/0167-6377(85)90011-2","article-title":"Batching in single operation manufacturing systems","volume":"4","author":"Santos","year":"1985","journal-title":"Oper. Res. Lett."},{"issue":"2","key":"10.1016\/j.ins.2026.123602_b0115","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/S0377-2217(99)00153-8","article-title":"Scheduling with batching: a review","volume":"120","author":"Potts","year":"2000","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0120","series-title":"Integrated production, inventory, and batch delivery scheduling with due date assignment","first-page":"93","author":"Yin","year":"2020"},{"issue":"2","key":"10.1016\/j.ins.2026.123602_b0125","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.ijpe.2009.08.019","article-title":"Application of genetic approach for advanced planning in multi-factory environment","volume":"127","author":"Chung","year":"2010","journal-title":"Int. J. Prod. Econ."},{"issue":"1","key":"10.1016\/j.ins.2026.123602_b0130","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.ejor.2014.03.039","article-title":"Coordination of production and interstage batch delivery with outsourced distribution","volume":"238","author":"Agnetis","year":"2014","journal-title":"Eur. J. Oper. Res."},{"issue":"22","key":"10.1016\/j.ins.2026.123602_b0135","doi-asserted-by":"crossref","first-page":"6891","DOI":"10.1080\/00207543.2016.1193246","article-title":"Coordinated scheduling of production and transportation in a two-stage assembly flowshop","volume":"54","author":"Wang","year":"2016","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.ins.2026.123602_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2020.120824","article-title":"A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows","volume":"259","author":"Ganji","year":"2020","journal-title":"J. Clean. Prod."},{"issue":"2","key":"10.1016\/j.ins.2026.123602_b0145","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1080\/0305215X.2017.1307355","article-title":"A kriging metamodel-assisted robust optimization method based on a reverse model","volume":"50","author":"Zhou","year":"2018","journal-title":"Eng. Optim."},{"issue":"4","key":"10.1016\/j.ins.2026.123602_b0150","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1080\/0305215X.2013.786062","article-title":"An ant colony optimization heuristic for an integrated production and distribution scheduling problem","volume":"46","author":"Chang","year":"2014","journal-title":"Eng. Optim."},{"key":"10.1016\/j.ins.2026.123602_b0155","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s10479-018-2976-y","article-title":"Supply chain scheduling in a collaborative manufacturing mode: model construction and algorithm design","volume":"275","author":"Tang","year":"2019","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0160","first-page":"1","article-title":"Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection","author":"Gunawan","year":"2023","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0165","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s10845-016-1248-4","article-title":"Order batching operations: an overview of classification, solution techniques, and future research","volume":"30","author":"Cergibozan","year":"2019","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.ins.2026.123602_b0170","series-title":"January). Integrating Transportation in a Multi-Site Scheduling Environment","author":"Sauer","year":"2000"},{"issue":"1\u20133","key":"10.1016\/j.ins.2026.123602_b0175","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/S0925-5273(01)00104-9","article-title":"Multi-site planning: a transshipment problem","volume":"74","author":"Guinet","year":"2001","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.ins.2026.123602_b0180","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1023\/A:1024653810491","article-title":"A modified genetic algorithm for distributed scheduling problems","volume":"14","author":"Jia","year":"2003","journal-title":"J. Intell. Manuf."},{"issue":"2","key":"10.1016\/j.ins.2026.123602_b0185","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.cie.2007.06.024","article-title":"Integration of genetic algorithm and Gantt chart for job shop scheduling in distributed manufacturing systems","volume":"53","author":"Jia","year":"2007","journal-title":"Comput. Ind. Eng."},{"issue":"1","key":"10.1016\/j.ins.2026.123602_b0190","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.ijpe.2008.02.006","article-title":"Inventory positioning, scheduling and lead-time quotation in supply chains","volume":"114","author":"Kaminsky","year":"2008","journal-title":"Int. J. Prod. Econ."},{"issue":"10\u201311","key":"10.1016\/j.ins.2026.123602_b0195","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1016\/j.advengsoft.2010.06.004","article-title":"Cloud theory-based simulated annealing approach for scheduling in the two-stage assembly flowshop","volume":"41","author":"Torabzadeh","year":"2010","journal-title":"Adv. Eng. Softw."},{"issue":"5","key":"10.1016\/j.ins.2026.123602_b0200","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.cor.2010.08.012","article-title":"A bilevel decomposition algorithm for simultaneous production scheduling and conflict-free routing for automated guided vehicles","volume":"38","author":"Nishi","year":"2011","journal-title":"Comput. Oper. Res."},{"issue":"3","key":"10.1016\/j.ins.2026.123602_b0205","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1080\/0951192X.2012.688141","article-title":"Multi-site scheduling under production and transportation constraints","volume":"26","author":"H\u2019Mida","year":"2013","journal-title":"Int. J. Comput. Integr. Manuf."},{"issue":"3","key":"10.1016\/j.ins.2026.123602_b0210","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.ejor.2013.06.001","article-title":"A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse","volume":"236","author":"Matusiak","year":"2014","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.ins.2026.123602_b0215","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.asoc.2015.03.006","article-title":"Scheduling of multi-component products in a two-stage flexible flow shop","volume":"32","author":"Nikzad","year":"2015","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ins.2026.123602_b0220","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.cie.2015.02.017","article-title":"Integrated scheduling of production and distribution to minimize total cost using an improved ant colony optimization method","volume":"83","author":"Cheng","year":"2015","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.ins.2026.123602_b0225","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.asoc.2016.01.052","article-title":"A bi-level evolutionary optimization approach for integrated production and transportation scheduling","volume":"42","author":"Guo","year":"2016","journal-title":"Appl. Soft Comput."},{"issue":"5","key":"10.1016\/j.ins.2026.123602_b0230","first-page":"700","article-title":"Coordinating order acceptance and batch delivery for an integrated supply chain scheduling","volume":"30","author":"Noroozi","year":"2017","journal-title":"Int. J. Eng."},{"issue":"5","key":"10.1016\/j.ins.2026.123602_b0235","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.1080\/00207543.2017.1355118","article-title":"Hybrid approach for the integrated scheduling of production and transport processes along supply chains","volume":"56","author":"Frazzon","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.ins.2026.123602_b0240","series-title":"Foundations of bilevel programming","author":"Dempe","year":"2002"},{"issue":"10","key":"10.1016\/j.ins.2026.123602_b0245","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.1016\/j.cor.2011.12.005","article-title":"A new hybrid genetic algorithm for job shop scheduling problem","volume":"39","author":"Wang","year":"2012","journal-title":"Comput. Oper. Res."},{"issue":"4","key":"10.1016\/j.ins.2026.123602_b0250","doi-asserted-by":"crossref","first-page":"6532","DOI":"10.4249\/scholarpedia.6532","volume":"10","author":"Glover","year":"2015","journal-title":"Metaheuristics. Scholarpedia"}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526005335?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526005335?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T14:51:07Z","timestamp":1778943067000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526005335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":50,"alternative-id":["S0020025526005335"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123602","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Bi-Level structured decomposition algorithm for intelligent Multi-Factory scheduling with batch delivery","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123602","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":"123602"}}