Acta Univ. Agric. Silvic. Mendelianae Brun. 2017, 65(2), 653-660 | DOI: 10.11118/actaun201765020653

The Suitability of Expert System Application in Czech Small and Medium-Sized Enterprises

Ekaterina Khitilova
Department of Management and Marketing, Moravian University College Olomouc, Tř. Kosmonautů 1, 779 00 Olomouc, Czech Republic

Small and medium-sized enterprises play an important role in the economy of Czech Republic. Expert systems are one of the alternatives evaluated the effectiveness of the relationship between supplier and customer. Currently, measurement and increase in efficiency of supplier-customer relations is very topical subject.
The requirements for tools the improvement supplier-customer relationship can be specified on the base the literature analysis. The article defines basic requirements for expert system. The presentation of expert system and its suitability in the surroundings of small and medium sized enterprises is the part of this article. The comparison of the expert system possibilities and the compiled requirements leads to suitability analysis of selected solution. Actual questions and the way of future work are derived from current results, presented in the paper.
The article defined the directions of development this expert system.

Keywords: SME's, hierarchic expert system, decision-making task, knowledge system, language model, supply chain

Prepublished online: April 30, 2017; Published: May 1, 2017  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Khitilova, E. (2017). The Suitability of Expert System Application in Czech Small and Medium-Sized Enterprises. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 65(2), 653-660. doi: 10.11118/actaun201765020653
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. AWASTHI A., CHAUHAN S. and GOYAL S. K. 2010.A fuzzy multicriteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126(2): 370 - 378. DOI: 10.1016/j.ijpe.2010.04.029 Go to original source...
    2. BALLOU, R. H. 2004. Business logistics, supply chain management :planning, organizing, and controlling the supply chain. 5th Edition. Upper Saddle River, NJ: Pearson Prentice Hall.
    3. CHE Z. H. and WANG H. S. 2008. Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products. Computers and Industrial Engineering, 55(1): 110 - 133. DOI: 10.1016/j.cie.2007.12.005 Go to original source...
    4. CHEN Y.-J. 2011. Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences. Elsevier Science Publishing Company, Inc., 181: 1651 - 1670. Go to original source...
    5. EUROPEAN UNION, 2004. Commission regulation (EC) No 364/2004 of 25 February 2004. Official Journal of the European Union, 63:22 - 29. [Online]. Available at: download.mpo.cz/get/30080/32902/347567/priloha005.pdf [Accessed: 2016, October 15].
    6. FINK M., HARMS R. and KRAUS S. 2014. Cooperative internationalization of SMEs: self-commitment as a success factor for International Enterpreneurship. European Management Journal, 26(6): 429 - 440. DOI: 10.1016/j.emj.2008.09.003 Go to original source...
    7. GOVINDAN, K., KHODAVERDI, R. and VAFADARNIKJOO, A. 2015. Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20): 7207 - 7220. DOI: 10.1016/j.eswa.2015.04.030 Go to original source...
    8. GUNASEKARAN A., PATEL C. and MCGAUGHEY R. E. 2004. A framework for supply chain performance measurement. Int. J. production economics, 87: 333 - 347. DOI: 10.1016/j.ijpe.2003.08.003 Go to original source...
    9. HALLIKAS, J., PUUMALAINEN, K., VESTERINEN, T. and VIROLAINEN, V.-M. 2005. Risk-Based Classification of Supplier Relationships. Journal Purchasing and Supply Management, 11(2): 72 - 82. DOI: 10.1016/j.pursup.2005.10.005 Go to original source...
    10. HAMPLOVA, E. and PROVAZNIKOVA, K. 2014. Opinion and Attitudes of Entrepreneurs of Small and Medium-sized Business in the Czech Republic Conditions. Procedia Economics and Finance, 23: 942-947. DOI: 10.1016/S2212-5671(15)00438-4 Go to original source...
    11. JIN, C. and RONG, W. 2011. Modeling of expert system of quality standard in supply chain. Robotics and Computer-Integrated Manufacturing, 27: 56-61 DOI: 10.1016/j.rcim.2010.06.002 Go to original source...
    12. KHITILOVÁ, E. and POKORNÝ, M. 2014. Supplier Suitability Evaluation Using the Hierarchical Fuzzy Expert System. International Journal of Business Management and Research, 41(1): 1129 - 1133.
    13. KHITILOVA, E. and POKORNÝ, M. 2015. Supplier Choice Knowledge Support in the Supply Chain. Acta Univ. Agric. Silvic. Mendelianae Brun, 63(3): 937 - 945. DOI: 10.11118/actaun201563030937 Go to original source...
    14. MINISTRY OF INDUSTRY AND TRADING CR. 2013. Koncepce podpory MSP 2014 - 2020. [Online]. Available at: http://www.businessinfo.cz/cs/clanky/koncepce-politiky-msp-2014-2020-27913.html [Accessed: 2016, October 15].
    15. MUSTEEN, M., FRANCIS, J. and DATTA D.K. 2010. The influence of international networks of internationalization speed and performance: A study of Czech SMEs. Journal of World Business, 45(3): 197 - 205. DOI: 10.1016/j.jwb.2009.12.003 Go to original source...
    16. NENADÁL, J. 2006. Management partnerství s dodavateli: nové perspektivy firemního nakupování. 1st Edition. Praha: Management press.
    17. OSIRO, L., LIMA-JUNIOR, F. R. and CARPINETTI, L.C.R. 2014. A fuzzy logic approach to supplier evaluation for development. Int. J. Production Economics, 153: 95-112. DOI: 10.1016/j.ijpe.2014.02.009 Go to original source...
    18. RAZMI, J., RAFIEI, H. and HASHEMI, M. 2009. Designing a decision support system to evaluate and select suppliers using fuzzy analytic network process. Computers and Industrial Engineering, 57(4): 1282 - 1290. DOI: 10.1016/j.cie.2009.06.008 Go to original source...
    19. SHU, M.-H. and WU, H.-C. 2009. Quality-based supplier selection and evaluation using fuzzy data. Computers and Industrial Engineering, 57(3): 1072 - 1079. DOI: 10.1016/j.cie.2009.04.012 Go to original source...
    20. SODOMKA, P. and KLČOVÁ, H. 2010. Informační systémy v podnikové praxi. 2nd Edition. Brno: Computer Press.
    21. WAGNER, J. 2009. Měření výkonnosti. Brno: Grada Publishing a.s.
    22. ZELENÝ, M. 2006. Český management v globální éře. Fragmenty, 10 (56): 15 - 21.

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content