The framework of agent-based negotiation platform for foundries cooperating in supply chain

• Autorzy: Kluska-Nawarecka S. , Regulski K. , Rojek G.
• Języki publikacji: EN

Abstrakty

EN

This paper concerns the domain of contracts in the metallurgy and heavy industry, that are the form of deals making between cooperating companies being suppliers and consumers of some goods. From a general point of view cooperation enables for small companies to realize orders that are too large for an individual producer, but contract negotiations, further scheduling and support of production are usually too difficult and complicated. This paper presents a proposition of an information system, that should make cooperation between companies more available. Such system should be distributed among cooperating producers, what is the reason for choosing of the agent technology as the main software paradigm. This system should also support interchanging of information in many norms and technical standards, what results in the use of ontology concerning metallurgy and heavy industry.

Słowa kluczowe

EN

information technology; foundry industry; innovative foundry technologies; innovative foundry materials; ontology; agent technology; production support

PL

technologia informacyjna; przemysł odlewniczy; innowacyjna technologia odlewnicza; innowacyjny materiał odlewniczy; ontologia; technologia agentowa; wspomaganie produkcji

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2013
• Tom: Vol. 13, iss. 4
• Strony: 73--78
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Kluska-Nawarecka S.

• Foundry Research Institute, Cracow, Poland

autor

Regulski K.

• AGH University of Science and Technology, Krakow, Poland

autor

Rojek G.

• AGH University of Science and Technology, Krakow, Poland

Bibliografia

• [1] Sitko, J. (2009). The problem organization processing of pouring the cast iron in the context of using the chain of deliveries. Archieves of Foundry Engineering. 9(3), 169-172.
• [2] Benisch, M., Greenwald, A., Grypari, I., Lederman, R., Nardotsky, V. & Tschantz, M. (2004). Botticelli: A Supply Chain Management Agent Designed to Optimize under Uncertainty. ACM Transactions on Computational Logic. 3(4), 29-37.
• [3] He, M., Rogers, A., Luo, X. & Jennings, C.H. (2006). Designing a successful trading agent for supply chain management. AAMAS ’06: Proc. of the 5th international joint conference on Autonomous agents and multiagent systems. ACM, New York, 1159-1166.
• [4] Pardoe, D. & Stone, P. (2007). An autonomous agent for supply chain management. Handbook in Information Systems Series: Business Computing, Elsevier.
• [5] Weiss, G. (1999). Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence. Cambridge, Massachusetts, London, England: The MIT Press.
• [6] Wooldridge, M. (2001). An Introduction to MultiAgent Systems. New York: John Wiley & Sons, Inc.
• [7] Nawarecki, E. & Koźlak, J. (2010). Building multi-agent models applied to supply chain management. Control and Cybernetics. 39(1), 149-176.
• [8] Baader, F. (2003). The description logic handbook: theory, implementation, and applications. Cambridge: Cambridge University Press.
• [9] Macioł, A., Wrona, R. & Stawowy, A. (2010). An application of advanced information technology in foundry engineering. Archieves of Foundry Engineering. 10(2), 83-88.
• [10] Staab, S., Studer, R. (2004). Handbook on Ontologies. Berlin-Heidelberg: Springer-Verlag.
• [11] Nawarecki, E., Kluska-Nawarecka, S., Regulski, K. (2012). Multi-aspect Character of the Man-Computer Relationship in a Diagnostic-Advisory System. In Hippe Z.S., Kulikowski J.L., Mroczek T. (Eds.), Human-Computer Systems Interaction: Backgrounds And Applications 2 (pp. 85-102), Berlin-Heidelberg: Springer-Verlag.
• [12] Gorny, Z., Kluska-Nawarecka, S., Wilk-Kolodziejczyk, D. & Regulski, K. (2010). Diagnosis of casting defects using uncertain and incomplete knowledge. Archives of Metallurgy and Materials. 55(3), 827-836.
• [13] Jancikova, Z., Roubicek, V. & Juchelkova, D., (2008). Application of Artificial Intelligence Methods for Prediction of Steel Mechanical Properties. Metalurgija. 4(47), 339-342.
• [14] Kluska-Nawarecka, S., Mrzygłód, B., Durak, J. & Regulski, K. (2010). Analysis of the applicability of domain ontology in copper alloys processing. Archieves of Foundry Engineering. 10(2), 69-74.