nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

Agent-Based Decision-Information System Supporting Effective Resource Management of Companies

verfasst von : Jarosław Koźlak, Bartłomiej Śnieżyński, Dorota Wilk-Kołodziejczyk, Stanisława Kluska-Nawarecka, Krzysztof Jaśkowiec, Małgorzata Żabińska

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The aim of the work is to propose a universal multi-agent environment for resource management in the enterprise. The system being developed is to be useful for employees of various divisions of the company: device operators, engineering staff optimizing the production process and senior management. The paper describes the architecture of the solution, which has a layered structure. The environment uses advanced techniques of artificial intelligence, including machine learning and negotiation algorithms. In the evaluation part, an implementation of a pilot version of the foundry management system is presented and a study of selected test scenarios is carried out.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Agents’ Knowledge Conflicts’ Resolving in Cognitive Integrated Management Information System – Case of Budgeting Module

Nächstes Kapitel Evolutionary Multi-Agent System in Planning of Marine Trajectories

Arsene, O., Dumitrache, I., Mihu, I.: Expert system for medicine diagnosis using software agents. Expert Syst. Appl. 42(4), 1825–1834 (2015)CrossRef

Baldoni, M., Baroglio, C., Capuzzimati, F.: 2COMM: a commitment-based MAS architecture. In: Cossentino, M., El Fallah Seghrouchni, A., Winikoff, M. (eds.) EMAS 2013. LNCS (LNAI), vol. 8245, pp. 38–57. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-45343-4_3CrossRef

Bellifemine, F., Poggi, A., Rimassa, G.: Developing multi-agent systems with JADE. In: Castelfranchi, C., Lespérance, Y. (eds.) ATAL 2000. LNCS (LNAI), vol. 1986, pp. 89–103. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44631-1_7CrossRefMATH

Coelho, V., Cohen, M., Coelho, I., Liu, N., Guimarães, F.: Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids. Appl. Energy 187, 820–832 (2017)CrossRef

Fatima, Sh., Kraus, S., Wooldridge, M.: Principles of Automated Negotiation, 1st edn. Cambridge University Press, New York (2014)

Ghallab, M., Nau, D., Traverso, P.: Automated Planning: Theory & Practice. Morgan Kaufmann Publishers Inc., San Francisco (2004)MATH

Haghighi, P., Burstein, F., Zaslavsky, A., Arbon, P.: Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings. Decis. Support Syst. 54(2), 1192–1204 (2013)CrossRef

Horling, B., Lesser, V.: A survey of multi-agent organizational paradigms. Knowl. Eng. Rev. 19, 4 (2004)

Jennings, N., Faratin, P., Lomuscio, A., Parsons, S., Sierra, C., Wooldridge, M.: Automated negotiation: prospects, methods and challenges. Int. J. Group Decis. Negot. 10(2), 199–215 (2001)CrossRef

10.

Kantamneni, A., Brown, L., Parker, G., Weaver, W.: Survey of multi-agent systems for microgrid control. Eng. Appl. Artif. Intell. 45, 192–203 (2015)CrossRef

11.

Karavas, C., Kyriakarakos, G., Arvanitis, K., Papadakis, G.: A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids. Energy Convers. Manag. 103, 166–179 (2015)CrossRef

12.

Leitao, P., Colombo, A., Karnouskos, S.: Industrial automation based on cyber-physical systems technologies: prototype implementations and challenges. Comput. Ind. 81, 11–25 (2016)CrossRef

13.

Leitao, P., Karnouskos, S., Ribeiro, L., Lee, J., Strasser, T., Colombo, A.W.: Smart agents in industrial cyber-physical systems. Proc. IEEE 104, 1086–1101 (2016)

14.

Panait, L., Luke, S.: Cooperative multi-agent learning: the state of the art. Auton. Agents Multi-Agent Syst. 11, 387–434 (2005)CrossRef

15.

Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)

16.

Rahman, M., Oo, A.: Distributed multi-agent based coordinated power management and control strategy for microgrids with distributed energy resources. Energy Convers. Manag. 139, 20–32 (2017)CrossRef

17.

Rai, V., Robinson, S.: Agent-based modeling of energy technology adoption: empirical integration of social, behavioral, economic and environmental factors. Environ. Model Softw. 70, 163–177 (2015)CrossRef

18.

Ricci, A., Santi, A.: Agent-oriented computing: agents as a paradigm for computer programming and software development. Int. J. Adv. Softw. 5, 36–52 (2012)

19.

Sueyoshi, T., Tadiparthi, G.: An agent-based decision support system for wholesale electricity market. Decis. Support Syst. 25, 225–237 (2009)

20.

Vázquez-Salceda, J., Aldewereld, H., Dignum, F.P.M.: Int. J. Comput. Syst. Sci. Eng. 20(4), 225–236 (2005)

21.

Wagner, N., Agrawal, V.: An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Syst. Appl. 41, 2807–2815 (2014)CrossRef

22.

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, 158–168 (2016)CrossRef

23.

Fazel Zarandi, M., Tarimoradi, M., Shirazi, M., Turksan, I.: Fuzzy intelligent agent-based expert system to keep Information Systems aligned with the strategy plans: A novel approach toward SISP. In: Proceedings of the 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American (2015)

Titel: Agent-Based Decision-Information System Supporting Effective Resource Management of Companies
verfasst von: Jarosław Koźlak
Bartłomiej Śnieżyński
Dorota Wilk-Kołodziejczyk
Stanisława Kluska-Nawarecka
Krzysztof Jaśkowiec
Małgorzata Żabińska
Verlag: Springer International Publishing
Buch: Computational Collective Intelligence
Print ISBN: 978-3-319-98442-1

Electronic ISBN: 978-3-319-98443-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-98443-8_28

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"