Classification of foundry clients using business rules approach

• Autorzy: Stawowy A. , Wrona R. , Ronduda M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the application of business rules approach for the classification of foundry clients taking into account the economic and technological attributes. Business Rules Management (BRM) systems allow non-technical business people to change the rules, analyze them for errors, and test and simulate them for impact analysis. Although BRM is focused on business processes improvement, it is possible to use this approach in technology management. The model of classification problem, and the knowledge base as a set of decision tables are presented in the paper. The results indicate that the proposed business rules tool REBIT, developed by AGH team as the project co-funded by the European Union, is feasible as a complete knowledge base and technology management method.

Słowa kluczowe

EN

information technology; foundry industry; business rules

PL

technologia informatyczna; przemysł odlewniczy; reguły biznesowe

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2011
• Tom: Vol. 11, iss. 4
• Strony: 145--148
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Stawowy A.

autor

Wrona R.

autor

Ronduda M.

• AGH University of Science and Technology, Faculty of Management, Gramatyka 10, 30-067 Krakow, Poland,

Bibliografia

• [1] A. Stawowy, A. Macioł, R. Wrona, Casting process selection using business rules approach, Archives of Metallurgy and Materials, vol. 55, No. 3 (2010) 927-934.
• [2] S. B. Kotsiantis, Supervised Machine Learning: A Review of Classification Techniques, Informatica, vol. 31 (2007) 249-268.
• [3] R. G. Ross, Principles of the Business Rule Approach, Addison Wesley (2003).
• [4] B. von Halle, L. Goldberg (ed.), The Business Rule Revolution. Running Business the Right Way, Happy About, Silicon Valley (2006).
• [5] The Business Rules Manifesto, www.business-rulesgroup.org/brmanifesto.htm.
• [6] C. Huyck, Lectures on Knowledge Based Systems for Business, Middlesex University (2008).
• [7] M. Ronduda, Tests of Rebit system in foundry Odlewnie Polskie SA, AGH Faculty of Management, Krakow (2011) [mscr], pp. 41 (in Polish).