The Implementation of Computer Platform for Foundries Cooperating in a Supply Chain

Open access

Abstract

This article presents a practical solution in the form of implementation of agent-based platform for the management of contracts in a network of foundries. The described implementation is a continuation of earlier scientific work in the field of design and theoretical system specification for cooperating companies [1]. The implementation addresses key design assumptions - the system is implemented using multi-agent technology, which offers the possibility of decentralisation and distributed processing of specified contracts and tenders. The implemented system enables the joint management of orders for a network of small and medium-sized metallurgical plants, while providing them with greater competitiveness and the ability to carry out large procurements. The article presents the functional aspects of the system - the user interface and the principle of operation of individual agents that represent businesses seeking potential suppliers or recipients of services and products. Additionally, the system is equipped with a bi-directional agent translating standards based on ontologies, which aims to automate the decision-making process during tender specifications as a response to the request.

[1] Kluska-Nawarecka, S., Regulski, K. & Rojek, G. (2013). The framework of agent-based negotiation platform for foundries cooperating in supply chain. Archives of Foundry Engineering. 13(4), 73-78.

[2] Wooldridge, M. (2001). An Introduction to MultiAgent Systems. New York: John Wiley & Sons, Inc.

[3] Bellifemine, F., Giovanni, C., Greenwood, D. (2007). Developing multi-agent systems with JADE, Chichester: John Wiley & Sons, Inc.

[4] Nawarecki, E. & Koźlak, J. (2010). Building multi-agent models applied to supply chain management. Control and Cybernetics. 39(1), 149-176.

[5] Macioł, A., Wrona, R. & Stawowy, A. (2010). An application of advanced information technology in foundry engineering. Archives of Foundry Engineering. 10(2), 83-88.

[6] Nawarecki, E., Kluska-Nawarecka, S., Regulski, K. (2012). Multi-aspect character of the man-computer relationship in a diagnostic-advisory system. In Z.S. Hippe, J.L. Kulikowski, T. Mroczek (Eds.), Human – computer systems interaction: backgrounds and applications 2, 85-102. Berlin Heidelberg: Springer-Verlag.

[7] Górny, Z., Kluska-Nawarecka, S., Wilk-Kołodziejczyk, D. & Regulski K. (2010). Diagnosis of casting defects using uncertain and incomplete knowledge. Archives of Metallurgy and Materials. 55(3), 827-836.

[8] Górny, Z., Kluska-Nawarecka, S. & Wilk-Kołodziejczyk, D. (2010). Attribute-Based knowledge representation in the process of defect diagnosis. Archives Of Metallurgy And Materials. 55(3), 819-826.

[9] David, J., Jancikova, Z., Frischer, R. & Vrozina, M. (2013). Crystallizer's desks surface diagnostics with usage of robotic system. Archives of Metallurgy and Materials. 58(3), 907-910.

[10] Regulski, K., Kluska-Nawarecka, S. (2012). Knowledge integration computer tools and algorithms in the improvement of the production processes of cast-steel castings. Kraków: Foundry Research Institute.

[11] Kluska-Nawarecka, S., Mrzygłód, B., Durak, J. & Regulski, K. (2010). Analysis of the applicability of domain ontology in copper alloys processing. Archives of Foundry Engineering. 10(2), 69-74.

[12] Pietrowski, S., Pisarek, B. & Gumienny, G. (2008). Computer-aided control of high-quality cast iron. Archives of Foundry Engineering. 8(1), 101-108.

[13] Kaczorowski, R., Just, P. & Pacyniak, T. (2013). Test bench for analyzing the Lost Foam Process. Archives of Foundry Engineering. 13(1), 57-62.

Archives of Foundry Engineering

The Journal of Polish Academy of Sciences

Journal Information


CiteScore 2016: 0.42

SCImago Journal Rank (SJR) 2016: 0.192
Source Normalized Impact per Paper (SNIP) 2016: 0.316

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 84 84 14
PDF Downloads 17 17 3