{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T12:01:14Z","timestamp":1784030474257,"version":"3.55.0"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T00:00:00Z","timestamp":1758412800000},"content-version":"vor","delay-in-days":263,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004561","name":"Ministry of Education and Science of the Republic of Kazakhstan","doi-asserted-by":"publisher","award":["AP23486386"],"award-info":[{"award-number":["AP23486386"]}],"id":[{"id":"10.13039\/501100004561","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004561","name":"Ministry of Education and Science of the Republic of Kazakhstan","doi-asserted-by":"publisher","award":["2024-2026"],"award-info":[{"award-number":["2024-2026"]}],"id":[{"id":"10.13039\/501100004561","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.procs.2025.09.234","type":"journal-article","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T22:13:24Z","timestamp":1762467204000},"page":"1129-1138","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Innovative Intellectual Multi-Agent System for Smart manufacturing"],"prefix":"10.1016","volume":"270","author":[{"given":"Galina","family":"Samigulina","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zarina","family":"Samigulina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daulet","family":"Bekeshev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana","family":"Butakova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2025.09.234_bib1","unstructured":"Safir, N., Albezuirat, M.K., Ahmed, N. \u201cMulti-Agent Systems: A Review.\u201d Int. J. Eng. Artif. Intell. 5(2):48\u201355 (2024)."},{"issue":"6","key":"10.1016\/j.procs.2025.09.234_bib2","doi-asserted-by":"crossref","first-page":"337","DOI":"10.3390\/info15060337","article-title":"\u201cProduction Scheduling Based on a Multi-Agent System and Digital Twin: A Bicycle Industry Case.\u201d","volume":"15","author":"Wang","year":"2024","journal-title":"Information"},{"key":"10.1016\/j.procs.2025.09.234_bib3","doi-asserted-by":"crossref","unstructured":"Nixdorf, S., Ansari, F., Schlund, S. \u201cReciprocal Learning in Human-Machine Collaboration: A Multi-Agent System Framework in Industry 5.0.\u201d In: Digitization of the Work Environment for Sustainable Production. Fazel Ansari\u2019s Lab, 207-225 (2022). https:\/\/doi.org\/10.30844\/WGAB_2022_11","DOI":"10.30844\/WGAB_2022_11"},{"key":"10.1016\/j.procs.2025.09.234_bib4","doi-asserted-by":"crossref","unstructured":"Abdalla, R., Agban, N., L\u00fcddeke, C., Jaeger, P.T., et al. \u201cMulti-Agent Physics Informed Reinforcement Learning for Waterflooding Optimization.\u201d Franklin Open (2025). https:\/\/doi.org\/10.1016\/j.fraope.2025.100229","DOI":"10.1016\/j.fraope.2025.100229"},{"key":"10.1016\/j.procs.2025.09.234_bib5","unstructured":"Gilani, A., et al. \u201cEfficient Energy Management in a Smart City Based on Multi-Agent Systems over the Internet of Things Platform. The International Journal of Nonlinear Analysis and Applications (IJNAA).\u201d (2023). https:\/\/doi.org\/10.22075\/ijnaa.2023.31301.4610"},{"issue":"18","key":"10.1016\/j.procs.2025.09.234_bib6","doi-asserted-by":"crossref","first-page":"3673","DOI":"10.3390\/electronics13183673","article-title":"\u201cInternet of Things-Based Multi-Agent System for the Control of Smart Street Lighting.\u201d","volume":"13","author":"Kouah","year":"2024","journal-title":"Electronics"},{"key":"10.1016\/j.procs.2025.09.234_bib7","doi-asserted-by":"crossref","unstructured":"Abdelhadi, A., Kadri, O. \u201cA New Operator that Combines Artificial Immune Systems and Multi-Agent Systems for Addressing Flow Shop Scheduling Problems.\u201d Brazilian Journal of Technology 7(4), e76226 (2024). https:\/\/doi.org\/10.38152\/bjtv7n4-048","DOI":"10.38152\/bjtv7n4-048"},{"issue":"9-10","key":"10.1016\/j.procs.2025.09.234_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00170-024-13472-4","article-title":"\u201cImmune System Inspired Smart Maintenance Framework: Tool Wear Monitoring Use Case.\u201d","volume":"132","author":"Pulikottil","year":"2024","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"4","key":"10.1016\/j.procs.2025.09.234_bib9","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.ifacol.2022.06.052","article-title":"\u201cRobust Automation with PLC\/PAC and Edge Controllers.\u201d","volume":"55","author":"Stankovski","year":"2022","journal-title":"IFAC-PapersOnLine"},{"key":"10.1016\/j.procs.2025.09.234_bib10","unstructured":"Schneider Electric. https:\/\/www.se.com\/"},{"key":"10.1016\/j.procs.2025.09.234_bib11","series-title":"\u201cThe immune system, adaptation, and machine learning.\u201d Physica D: Nonlinear Phenomena 22(1-3):187-204","author":"Farmer","year":"1986"},{"key":"10.1016\/j.procs.2025.09.234_bib12","doi-asserted-by":"crossref","unstructured":"Bersini, H., Varela, F.J. \u201cHints for adaptive problem solving gleaned from immune networks.\u201d In: International Conference on Parallel Problem Solving from Nature, pp. 343-354 (1990). Springer Berlin Heidelberg.","DOI":"10.1007\/BFb0029775"},{"issue":"4","key":"10.1016\/j.procs.2025.09.234_bib13","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1162\/106365600568257","article-title":"\u201cArchitecture for an artificial immune system.\u201d","volume":"8","author":"Hofmeyr","year":"2000","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.procs.2025.09.234_bib14","doi-asserted-by":"crossref","unstructured":"Kephart, J.O. \u201cA biologically inspired immune system for computers\u201d. In: Brooks, R.A., Maes, P. (eds) Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pp. 130\u2013139 (1994).","DOI":"10.7551\/mitpress\/1428.003.0017"},{"key":"10.1016\/j.procs.2025.09.234_bib15","series-title":"\u201cArchitecture for an artificial immune system.\u201d In: Lecture Notes in Computer Science, 1805, pp. 128\u2013134","author":"Hofmeyr","year":"2000"},{"key":"10.1016\/j.procs.2025.09.234_bib16","unstructured":"De Castro, L.N., Von Zuben, F.J. \u201cThe clonal selection algorithm with engineering applications\u201d. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO\u201900), Workshop on Artificial Immune Systems and Their Applications, p. 37 (2000)."},{"key":"10.1016\/j.procs.2025.09.234_bib17","unstructured":"Castro, L.N., Timmis, J. \u201cArtificial immune systems: A new computational intelligence approach\u201d. Springer Science & Business Media (2002)."},{"key":"10.1016\/j.procs.2025.09.234_bib18","unstructured":"Cutello, V., Nicosia, G. \u201cMultiple learning using immune algorithms\u201d. In: Proceedings of 4th International Conference on Recent Advances in Soft Computing (RASC), pp. 102-107 (2022)."},{"key":"10.1016\/j.procs.2025.09.234_bib19","doi-asserted-by":"crossref","unstructured":"Ciccazzo, A., Conca, P., Nicosia, G., Stracquadanio, G. \u201cAn advanced clonal selection algorithm with ad-hoc network-based hypermutation operators for synthesis of topology and sizing of analog electrical circuits\u201d. In: International Conference on Artificial Immune Systems, pp. 60-70 (2008).","DOI":"10.1007\/978-3-540-85072-4_6"},{"key":"10.1016\/j.procs.2025.09.234_bib20","doi-asserted-by":"crossref","unstructured":"Cutello, V., Nicosia, G., Pavone, M., Timmis, J. \u201cAn immune algorithm for protein structure prediction on lattice models.\u201d IEEE Transactions on Evolutionary Computation 11(1):101-117 (2007). https:\/\/doi.org\/10.1109\/TEVC.2006.885928","DOI":"10.1109\/TEVC.2006.880328"},{"issue":"3","key":"10.1016\/j.procs.2025.09.234_bib21","first-page":"171","article-title":"\u201cRecent advances in the artificial endocrine system.\u201d","volume":"12","author":"Xu","year":"2011","journal-title":"Journal of Zhejiang University"},{"key":"10.1016\/j.procs.2025.09.234_bib22","doi-asserted-by":"crossref","unstructured":"Elmenreich, W., Schnabl, A., Schranz, M. \u201cAn Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up\u201d. In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence, vol. 1, pp. 296\u2013303 (2021). SCITEPRESS. https:\/\/doi.org\/10.5220\/0010243902960303","DOI":"10.5220\/0010243902960303"},{"key":"10.1016\/j.procs.2025.09.234_bib23","doi-asserted-by":"crossref","unstructured":"Izumi, M., Nakanishi, Y., Kang, S., Kumanogoh, A. \u201cPeripheral and central regulation of neuro\u2013immune crosstalk\u201d. Inflammation and Regeneration 44(41) (2024). https:\/\/doi.org\/10.1186\/s41232-024-00352-3","DOI":"10.1186\/s41232-024-00352-3"},{"key":"10.1016\/j.procs.2025.09.234_bib24","series-title":"\u201cAn Introduction to Neuroendocrine Systems\u201d. In: Fink, G., Pfaff, D.W., Levine, J.E. (eds) Handbook of Neuroendocrinology, pp. 1-10","author":"Levine","year":"2012"},{"key":"10.1016\/j.procs.2025.09.234_bib25","doi-asserted-by":"crossref","unstructured":"Calvaresi, D., Dicente Cid, Y., Marinoni, M., et al. \u201cReal-time multi-agent systems: rationality, formal model, and empirical results\u201d. Auton. Agent. Multi-Agent Syst. 35:12 (2021). https:\/\/doi.org\/10.1007\/s10458-020-09492-5","DOI":"10.1007\/s10458-020-09492-5"},{"key":"10.1016\/j.procs.2025.09.234_bib26","doi-asserted-by":"crossref","unstructured":"He, T., Goh, H.H., Yew, W.K., Kurniawan, T.A., Goh, K.C., Phan, Q.-D., Wong, S.Y. \u201cEnhancing multi-agent system coordination: Fixed-time and event-triggered control mechanism for robust distributed consensus.\u201d Ain Shams Engineering Journal 15(12), Article 103105 (2024).","DOI":"10.1016\/j.asej.2024.103105"},{"key":"10.1016\/j.procs.2025.09.234_bib27","series-title":"\u201cMetrics for Multiagent Systems.\u201d In: Performance Evaluation and Benchmarking of Intelligent Systems, pp. 1\u201319","author":"Lass","year":"2009"},{"key":"10.1016\/j.procs.2025.09.234_bib28","unstructured":"Sabbatini, F., Sirocchi, C., Calegari, R. \u201cSymbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems.\u201d In: Proceedings of the 25th Workshop \u201cFrom Objects to Agents\u201d, pp. 221\u2013235 (2024). CEUR-WS.org."},{"key":"10.1016\/j.procs.2025.09.234_bib29","doi-asserted-by":"crossref","unstructured":"Samigulina, G., Samigulina Z., \u201cDiagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems,\" J. Intell. Manuf., 33:1433\u20131450 (2022). https:\/\/doi.org\/10.1007\/s10845-020-01732-5","DOI":"10.1007\/s10845-020-01732-5"},{"key":"10.1016\/j.procs.2025.09.234_bib30","doi-asserted-by":"crossref","unstructured":"Samigulina, G., Samigulina Z., \u201cDevelopment of a unified artificial immune system for complex objects control within the framework of the Industry 4.0 concept.\u201d Procedia Computer Science, 219:824\u2013831 (2023). https:\/\/doi.org\/10.1016\/j.procs.2023.01.356","DOI":"10.1016\/j.procs.2023.01.356"}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050925029047?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050925029047?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T07:34:08Z","timestamp":1778830448000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877050925029047"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":30,"alternative-id":["S1877050925029047"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2025.09.234","relation":{},"ISSN":["1877-0509"],"issn-type":[{"value":"1877-0509","type":"print"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Innovative Intellectual Multi-Agent System for Smart manufacturing","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2025.09.234","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}