{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:15:16Z","timestamp":1743045316849,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030991074"},{"type":"electronic","value":"9783030991081"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-99108-1_30","type":"book-chapter","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:05:40Z","timestamp":1654142740000},"page":"417-428","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning and Autonomous Control\u2014A Synergy for Manufacturing"],"prefix":"10.1007","author":[{"given":"Oliver","family":"Antons","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julia C.","family":"Arlinghaus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,3]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/j.procir.2020.04.047","volume":"93","author":"O Antons","year":"2020","unstructured":"Antons, O., Arlinghaus, J.C.: Designing decision-making authorities for smart factories. Proced. CIRP 93, 316\u2013322 (2020)","journal-title":"Proced. CIRP"},{"key":"30_CR2","doi-asserted-by":"publisher","unstructured":"Antons, O., Arlinghaus, J.C.: A manufacturing scheduling complexity framework and agent-based comparison of centralized and distributed control approaches. IEEE J. Emerg. Selected Top. Ind. Electron. 1\u20131 (2021). https:\/\/doi.org\/10.1109\/JESTIE.2021.3100272","DOI":"10.1109\/JESTIE.2021.3100272"},{"key":"30_CR3","unstructured":"Antons, O., Bendul, J.C.: The impact of information and communication flow structures on logistics performance in industry 4.0 production systems with distributed control. In: EurOMA19 (2019)"},{"issue":"3","key":"30_CR4","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1080\/07408179908969822","volume":"31","author":"Y Arzi","year":"1999","unstructured":"Arzi, Y., Iaroslavitz, L.: Neural network-based adaptive production control system for a flexible manufacturing cell under a random environment. IIE Trans. 31(3), 217\u2013230 (1999). https:\/\/doi.org\/10.1080\/07408179908969822","journal-title":"IIE Trans."},{"issue":"3","key":"30_CR5","first-page":"7","volume":"5","author":"KJ Astr\u00f6m","year":"1985","unstructured":"Astr\u00f6m, K.J.: Process control-past, present, and future. IEEE Cont. Syst. Magaz. 5(3), 7 (1985)","journal-title":"IEEE Cont. Syst. Magaz."},{"key":"30_CR6","doi-asserted-by":"publisher","unstructured":"Bendul, J.C., Blunck, H.: The design space of production planning and control for industry 4.0. Comput. Ind. 105, 260\u2013272 (2019). https:\/\/doi.org\/10.1016\/j.compind.2018.10.010","DOI":"10.1016\/j.compind.2018.10.010"},{"key":"30_CR7","doi-asserted-by":"publisher","unstructured":"Bertelsmeier, F., Tr\u00e4chtler, A.: Decentralized controller reconfiguration strategies for hybrid system dynamics based on product-intelligence. In: 2015 IEEE 20th Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1\u20138. IEEE (2015). https:\/\/doi.org\/10.1109\/ETFA.2015.7301527","DOI":"10.1109\/ETFA.2015.7301527"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.procir.2016.11.028","volume":"57","author":"H Blunck","year":"2016","unstructured":"Blunck, H., Bendul, J.: Controlling myopic behavior in distributed production systems\u2013A classification of design choices. Procedia CIRP 57, 158\u2013163 (2016). https:\/\/doi.org\/10.1016\/j.procir.2016.11.028","journal-title":"Procedia CIRP"},{"key":"30_CR9","doi-asserted-by":"publisher","unstructured":"Bonastre, A., Capella, J., Ors, R.: A new generic architecture for the implementation of intelligent and distributed control systems (2002). https:\/\/doi.org\/10.1109\/IECON.2002.1185242","DOI":"10.1109\/IECON.2002.1185242"},{"issue":"2","key":"30_CR10","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/S0166-3615(00)00062-2","volume":"43","author":"L Bongaerts","year":"2000","unstructured":"Bongaerts, L., Monostori, L., McFarlane, D., Kadar, B.: Hierarchy in distributed shop floor control. Comput. Ind. 43(2), 123\u2013137 (2000). https:\/\/doi.org\/10.1016\/S0166-3615(00)00062-2","journal-title":"Comput. Ind."},{"key":"30_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-020-00701-w","author":"N \u00c1lvarez Gil","year":"2020","unstructured":"\u00c1lvarez Gil, N., Rosillo, R., de la Fuente, D., Pino, R.: A discrete firefly algorithm for solving the flexible job-shop scheduling problem in a make-to-order manufacturing system. Cent. Eur. J. Oper. Res. (2020). https:\/\/doi.org\/10.1007\/s10100-020-00701-w","journal-title":"Cent. Eur. J. Oper. Res."},{"key":"30_CR12","doi-asserted-by":"publisher","unstructured":"Grassi, A., Guizzi, G., Santillo, L.C., Vespoli, S.: A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 24, 43\u201346 (2020). https:\/\/doi.org\/10.1016\/j.mfglet.2020.03.007","DOI":"10.1016\/j.mfglet.2020.03.007"},{"issue":"2","key":"30_CR13","first-page":"156","volume":"54","author":"MS Hussain","year":"2019","unstructured":"Hussain, M.S., Ali, M.: Distributed control of flexible manufacturing system: control and performance perspectives. Int. J. Eng. Appl. Manage. Sci. Parad. 54(2), 156\u2013162 (2019)","journal-title":"Int. J. Eng. Appl. Manage. Sci. Parad."},{"key":"30_CR14","doi-asserted-by":"publisher","unstructured":"Karak\u00f6se, M., Yeti\u015f, H.: A cyberphysical system based mass-customization approach with integration of industry 4.0 and smart city. Wirel. Commun. Mob. Comput. 2017, 1\u20139 (2017). https:\/\/doi.org\/10.1155\/2017\/1058081","DOI":"10.1155\/2017\/1058081"},{"issue":"12","key":"30_CR15","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1109\/MC.1984.1659029","volume":"17","author":"N Koinoda","year":"1984","unstructured":"Koinoda, N., Kera, K., Kubo, T.: An autonomous, decentralized control system for factory automation. Computer 17(12), 73\u201383 (1984)","journal-title":"Computer"},{"issue":"2","key":"30_CR16","doi-asserted-by":"publisher","first-page":"2937","DOI":"10.1016\/j.eswa.2008.01.070","volume":"36","author":"O L\u00f3pez-Ortega","year":"2009","unstructured":"L\u00f3pez-Ortega, O., Villar-Medina, I.: A multi-agent system to construct production orders by employing an expert system and a neural network. Expert Syst. Appl. 36(2), 2937\u20132946 (2009). https:\/\/doi.org\/10.1016\/j.eswa.2008.01.070","journal-title":"Expert Syst. Appl."},{"key":"30_CR17","doi-asserted-by":"publisher","unstructured":"McLean, R., Walker, A.J., Bright, G.: An artificial neural network driven decision-making system for manufacturing disturbance mitigation in reconfigurable systems. In: 13th IEEE International Conference on Control and Automation (2017). https:\/\/doi.org\/10.1109\/ICCA.2017.8003144","DOI":"10.1109\/ICCA.2017.8003144"},{"key":"30_CR18","doi-asserted-by":"publisher","unstructured":"Meissner, H., Ilsen, R., Aurich, J.C.: Analysis of control architectures in the context of industry 4.0. Procedia CIRP 62, 165\u2013169 (2017). https:\/\/doi.org\/10.1016\/j.procir.2016.06.113","DOI":"10.1016\/j.procir.2016.06.113"},{"issue":"1","key":"30_CR19","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/S0007-8506(07)60714-8","volume":"53","author":"L Monostori","year":"2004","unstructured":"Monostori, L., Cs\u00e1ji, B.C., Kadar, B.: Adaptation and learning in distributed production control. CIRP Ann. 53(1), 349\u2013352 (2004). https:\/\/doi.org\/10.1016\/S0007-8506(07)60714-8","journal-title":"CIRP Ann."},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.arcontrol.2015.03.001","volume":"39","author":"L Monostori","year":"2015","unstructured":"Monostori, L., Valckenaers, P., Dolgui, A., Panetto, H., Brdys, M., Cs\u00e1ji, B.C.: Cooperative control in production and logistics. Ann. Rev. Cont. 39, 12\u201329 (2015). https:\/\/doi.org\/10.1016\/j.arcontrol.2015.03.001","journal-title":"Ann. Rev. Cont."},{"key":"30_CR21","unstructured":"Philipp, T., B\u00f6se, F., Windt, K.: Evaluation of autonomously controlled logistic processes. In: Proceedings of 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, pp. 347\u2013352. CIRP, The International Academy for Production Engineering (2006)"},{"key":"30_CR22","doi-asserted-by":"crossref","unstructured":"Romero, D., Jones, A.T., Wuest, T.: A new architecture for controlling smart manufacturing systems. In: 2018 International Conference on Intelligent Systems (IS), pp. 421\u2013427. IEEE (2018)","DOI":"10.1109\/IS.2018.8710540"},{"key":"30_CR23","unstructured":"Scholz-Reiter, B., Freitag, M., De\u00a0Beer, C., Jagalski, T.: The influence of production networks\u2019 complexity on the performance of autonomous control methods. In: Proceedings of the 5th CIRP International Seminar on Computation in Manufacturing engineering, pp. 317\u2013320 (2006)"},{"issue":"7","key":"30_CR24","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1016\/j.engappai.2009.05.001","volume":"22","author":"D Trentesaux","year":"2009","unstructured":"Trentesaux, D.: Distributed control of production systems. Eng. Appl. Artif. Intell. 22(7), 971\u2013978 (2009). https:\/\/doi.org\/10.1016\/j.engappai.2009.05.001","journal-title":"Eng. Appl. Artif. Intell."},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1016\/j.jmsy.2015.04.008","volume":"37","author":"L Wang","year":"2015","unstructured":"Wang, L., T\u00f6rngren, M., Onori, M.: Current status and advancement of cyber-physical systems in manufacturing. J. Manuf. Syst. 37, 517\u2013527 (2015). https:\/\/doi.org\/10.1016\/j.jmsy.2015.04.008","journal-title":"J. Manuf. Syst."},{"key":"30_CR26","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.simpat.2014.01.005","volume":"46","author":"G Zambrano Rey","year":"2014","unstructured":"Zambrano Rey, G., Bonte, T., Prabhu, V., Trentesaux, D.: Reducing myopic behavior in FMS control: a semi-heterarchical simulation-optimization approach. Simul. Modell. Pract. Theo. 46, 53\u201375 (2014). https:\/\/doi.org\/10.1016\/j.simpat.2014.01.005","journal-title":"Simul. Modell. Pract. Theo."}],"container-title":["Studies in Computational Intelligence","Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-99108-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T04:15:33Z","timestamp":1654143333000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-99108-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030991074","9783030991081"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-99108-1_30","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"3 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOHOMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cluny","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sohoma2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sohoma2021.sciencesconf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}