{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T22:21:27Z","timestamp":1751235687414,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030227401"},{"type":"electronic","value":"9783030227418"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-22741-8_37","type":"book-chapter","created":{"date-parts":[[2019,6,7]],"date-time":"2019-06-07T15:02:45Z","timestamp":1559919765000},"page":"517-529","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-agent Environment for Decision-Support in Production Systems Using Machine Learning Methods"],"prefix":"10.1007","author":[{"given":"Jaros\u0142aw","family":"Ko\u017alak","sequence":"first","affiliation":[]},{"given":"Bartlomiej","family":"Sniezynski","sequence":"additional","affiliation":[]},{"given":"Dorota","family":"Wilk-Ko\u0142odziejczyk","sequence":"additional","affiliation":[]},{"given":"Albert","family":"Le\u015bniak","sequence":"additional","affiliation":[]},{"given":"Krzysztof","family":"Ja\u015bkowiec","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,8]]},"reference":[{"key":"37_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470058411","volume-title":"Developing Multi-agent Systems with JADE","author":"F Bellifemine","year":"2007","unstructured":"Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-agent Systems with JADE. Wiley, Hoboken (2007)"},{"key":"37_CR2","first-page":"37","volume":"8","author":"M Brettel","year":"2014","unstructured":"Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int. J. Mech. Aerosp. Ind. Mechatron. Manuf. Eng. 8, 37\u201344 (2014)","journal-title":"Int. J. Mech. Aerosp. Ind. Mechatron. Manuf. Eng."},{"key":"37_CR3","volume-title":"Intelligent Decision Support Methods: The Science of Knowledge Work","author":"V Dhar","year":"1997","unstructured":"Dhar, V., Stein, R.: Intelligent Decision Support Methods: The Science of Knowledge Work. Prentice-Hall Inc., Upper Saddle River (1997)"},{"key":"37_CR4","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.eswa.2016.06.030","volume":"62","author":"F Dweiri","year":"2016","unstructured":"Dweiri, F., Kumar, S., Khan, S.A., Jain, V.: Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Syst. Appl. 62, 273\u2013283 (2016)","journal-title":"Expert Syst. Appl."},{"key":"37_CR5","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.neucom.2004.01.193","volume":"63","author":"K Gersmann","year":"2005","unstructured":"Gersmann, K., Hammer, B.: Improving iterative repair strategies for scheduling with the SVM. Neurocomputing 63, 271\u2013292 (2005). New Aspects in Neurocomputing: 11th European Symposium on Artificial Neural Networks","journal-title":"Neurocomputing"},{"key":"37_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-3-642-25566-3_20","volume-title":"Learning and Intelligent Optimization","author":"H Ingimundardottir","year":"2011","unstructured":"Ingimundardottir, H., Runarsson, T.P.: Supervised learning linear priority dispatch rules for job-shop scheduling. In: Coello, C.A.C. (ed.) LION 2011. LNCS, vol. 6683, pp. 263\u2013277. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-25566-3_20"},{"key":"37_CR7","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.engappai.2015.07.005","volume":"45","author":"A Kantamneni","year":"2015","unstructured":"Kantamneni, A., Brown, L.E., Parker, G., Weaver, W.W.: Survey of multi-agent systems for microgrid control. Eng. Appl. Artif. Intell. 45, 192\u2013203 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"37_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/978-3-319-98443-8_28","volume-title":"Computational Collective Intelligence","author":"J Ko\u017alak","year":"2018","unstructured":"Ko\u017alak, J., \u015anie\u017cy\u0144ski, B., Wilk-Ko\u0142odziejczyk, D., Kluska-Nawarecka, S., Ja\u015bkowiec, K., \u017babi\u0144ska, M.: Agent-based decision-information system supporting effective resource management of companies. In: Nguyen, N.T., Pimenidis, E., Khan, Z., Trawi\u0144ski, B. (eds.) ICCCI 2018. LNCS (LNAI), vol. 11055, pp. 309\u2013318. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98443-8_28"},{"key":"37_CR9","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.cor.2017.06.005","volume":"98","author":"H Lee","year":"2018","unstructured":"Lee, H., Aydin, N., Choi, Y., Lekhavat, S., Irani, Z.: A decision support system for vessel speed decision in maritime logistics using weather archive big data. Comput. Oper. Res. 98, 330\u2013342 (2018)","journal-title":"Comput. Oper. Res."},{"issue":"5","key":"37_CR10","doi-asserted-by":"publisher","first-page":"1086","DOI":"10.1109\/JPROC.2016.2521931","volume":"104","author":"P Leit\u00e3o","year":"2016","unstructured":"Leit\u00e3o, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., Colombo, A.W.: Smart agents in industrial cyber-physical systems. Proc. IEEE 104(5), 1086\u20131101 (2016)","journal-title":"Proc. IEEE"},{"key":"37_CR11","first-page":"1","volume":"2017","author":"X Li","year":"2017","unstructured":"Li, X., Guo, S., Liu, Y., Du, B., Wang, L.: A production planning model for make-to-order foundry flow shop with capacity constraint. Math. Probl. Eng. 2017, 1\u201315 (2017)","journal-title":"Math. Probl. Eng."},{"issue":"2","key":"37_CR12","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1080\/10580530801941124","volume":"25","author":"DJ Power","year":"2008","unstructured":"Power, D.J.: Understanding data-driven decision support systems. Inf. Syst. Manag. 25(2), 149\u2013154 (2008)","journal-title":"Inf. Syst. Manag."},{"issue":"3","key":"37_CR13","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.1016\/j.dss.2005.05.030","volume":"43","author":"DJ Power","year":"2007","unstructured":"Power, D.J., Sharda, R.: Model-driven decision support systems: concepts and research directions. Decis. Support Syst. 43(3), 1044\u20131061 (2007)","journal-title":"Decis. Support Syst."},{"key":"37_CR14","doi-asserted-by":"crossref","unstructured":"Qu, S., Chu, T., Wang, J., Leckie, J., Jian, W.: A centralized reinforcement learning approach for proactive scheduling in manufacturing. In: ETFA, pp. 1\u20138. IEEE (2015)","DOI":"10.1109\/ETFA.2015.7301417"},{"key":"37_CR15","first-page":"165","volume":"25","author":"B Sadel","year":"2017","unstructured":"Sadel, B., Sniezynski, B.: Online supervised learning approach for machine scheduling. Schedae Inf. 25, 165\u2013176 (2017)","journal-title":"Schedae Inf."},{"key":"37_CR16","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.apm.2015.05.005","volume":"40","author":"M Sakhaii","year":"2016","unstructured":"Sakhaii, M., Tavakkoli-Moghaddam, R., Bagheri, M., Vatani, B.: A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines. Appl. Math. Model. 40, 169\u2013191 (2016)","journal-title":"Appl. Math. Model."},{"key":"37_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77700-9","volume-title":"Trends and Advances in InformationSystems and Technologies","author":"R Sika","year":"2018","unstructured":"Sika, R., et al.: Trends and Advances in InformationSystems and Technologies, vol. 747. Springer, Heidelberg (2018). https:\/\/doi.org\/10.1007\/978-3-319-77700-9"},{"issue":"3","key":"37_CR18","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1515\/amcs-2015-0035","volume":"25","author":"B Sniezynski","year":"2015","unstructured":"Sniezynski, B.: A strategy learning model for autonomous agents based on classification. Int. J. Appl. Math. Comput. Sci. 25(3), 471\u2013482 (2015)","journal-title":"Int. J. Appl. Math. Comput. Sci."},{"key":"37_CR19","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.comnet.2015.12.017","volume":"101","author":"S Wang","year":"2016","unstructured":"Wang, S., Wan, J., Zhang, D., Li, D., Zhang, C.: Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination. Comput. Netw. 101, 158\u2013168 (2016). Industrial Technologies and Applications for the Internet of Things","journal-title":"Comput. Netw."},{"key":"37_CR20","volume-title":"Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence","year":"2013","unstructured":"Weiss, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, 2nd edn. MIT Press, Cambridge (2013)","edition":"2"},{"key":"37_CR21","doi-asserted-by":"publisher","first-page":"5865","DOI":"10.1007\/s11665-018-3714-y","volume":"27","author":"D Wilk-Ko\u0142odziejczyk","year":"2018","unstructured":"Wilk-Ko\u0142odziejczyk, D., Regulski, K., Gi\u0229tka, T., Gumienny, G., Kluska-Nawarecka, S., Ja\u015bkowiec, K.: The selection of heat treatment parameters to obtain austempered ductile iron with the required impact strength. J. Mater. Eng. Perform. 27, 5865\u20135878 (2018)","journal-title":"J. Mater. Eng. Perform."},{"key":"37_CR22","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2011","unstructured":"Witten, I.H., Frank, E., Hell, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Elsevier, Amsterdam (2011)","edition":"3"},{"key":"37_CR23","doi-asserted-by":"crossref","unstructured":"Zarandi, M.H.F., Tarimoradi, M., Shirazi, M.A., Turksan, I.B.: Fuzzy intelligent agent-based expert system to keep information systems aligned with the strategy plans: a novel approach toward SISP. In: 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Held Jointly with 2015 5th World Conference on Soft Computing (WConSC), pp. 1\u20135, August 2015","DOI":"10.1109\/NAFIPS-WConSC.2015.7284153"},{"key":"37_CR24","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-981-13-2396-6_2","volume-title":"Recent Advances in Intelligent Manufacturing","author":"Y Zhao","year":"2018","unstructured":"Zhao, Y., Qian, F., Gao, Y.: Data driven die casting smart factory solution. In: Wang, S., Price, M., Lim, M.K., Jin, Y., Luo, Y., Chen, R. (eds.) ICSEE\/IMIOT -2018. CCIS, vol. 923, pp. 13\u201321. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-13-2396-6_2"},{"issue":"3","key":"37_CR25","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1007\/s10845-017-1328-0","volume":"20","author":"J Zhou","year":"2019","unstructured":"Zhou, J., Ye, H., Ji, X., Deng, W.: An improved backtracking search algorithm for casting heat treatment charge plan problem. J. Intell. Manuf. 20(3), 1335\u20131350 (2019)","journal-title":"J. Intell. Manuf."},{"key":"37_CR26","first-page":"7","volume":"10","author":"J Zhou","year":"2013","unstructured":"Zhou, J., et al.: Research and application of enterprise resource planning system for foundry enterprises. Appl. Energy 10, 7\u201317 (2013)","journal-title":"Appl. Energy"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22741-8_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T03:33:27Z","timestamp":1686108807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-22741-8_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030227401","9783030227418"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22741-8_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Faro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}