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https://doi.org/10.1080/1331677X.2019.1613249

Neuro-fuzzy inference systems approach to decision support system for economic order quantity

Siniša Sremac ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Edmundas Kazimieras Zavadskas ; Faculty of Civil Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania
Bojan Matić ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Miloš Kopić ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Željko Stević ; Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina

Puni tekst: engleski, pdf (2 MB) str. 1114-1137 preuzimanja: 65* citiraj
APA 6th Edition
Sremac, S., Kazimieras Zavadskas, E., Matić, B., Kopić, M. i Stević, Ž. (2019). Neuro-fuzzy inference systems approach to decision support system for economic order quantity. Economic research - Ekonomska istraživanja, 32 (1), 1114-1137. https://doi.org/10.1080/1331677X.2019.1613249
MLA 8th Edition
Sremac, Siniša, et al. "Neuro-fuzzy inference systems approach to decision support system for economic order quantity." Economic research - Ekonomska istraživanja, vol. 32, br. 1, 2019, str. 1114-1137. https://doi.org/10.1080/1331677X.2019.1613249. Citirano 08.04.2020.
Chicago 17th Edition
Sremac, Siniša, Edmundas Kazimieras Zavadskas, Bojan Matić, Miloš Kopić i Željko Stević. "Neuro-fuzzy inference systems approach to decision support system for economic order quantity." Economic research - Ekonomska istraživanja 32, br. 1 (2019): 1114-1137. https://doi.org/10.1080/1331677X.2019.1613249
Harvard
Sremac, S., et al. (2019). 'Neuro-fuzzy inference systems approach to decision support system for economic order quantity', Economic research - Ekonomska istraživanja, 32(1), str. 1114-1137. https://doi.org/10.1080/1331677X.2019.1613249
Vancouver
Sremac S, Kazimieras Zavadskas E, Matić B, Kopić M, Stević Ž. Neuro-fuzzy inference systems approach to decision support system for economic order quantity. Economic research - Ekonomska istraživanja [Internet]. 2019 [pristupljeno 08.04.2020.];32(1):1114-1137. https://doi.org/10.1080/1331677X.2019.1613249
IEEE
S. Sremac, E. Kazimieras Zavadskas, B. Matić, M. Kopić i Ž. Stević, "Neuro-fuzzy inference systems approach to decision support system for economic order quantity", Economic research - Ekonomska istraživanja, vol.32, br. 1, str. 1114-1137, 2019. [Online]. https://doi.org/10.1080/1331677X.2019.1613249

Sažetak
Supply chain management (SCM) has a dynamic structure involving the constant flow of information, product, and funds among different participants. SCM is a complex process and most often characterized by uncertainty. Many values are stochastic and cannot be precisely determined and described by classical mathematical methods. Therefore, in solving real and complex problems individual methods of artificial intelligence are increasingly used, or their combination in the form of hybrid methods. This paper has proposed the decision support system for determining economic order quantity and order implementation based on Adaptive neuro-fuzzy inference systems - ANFIS. A combination of two concepts of artificial intelligence in the form of hybrid neuro-fuzzy method has been applied into the decision support system in order to exploit the individual advantages of both methods. This method can deal with complexity and uncertainty in SCM better than classical methods because they it stems from experts’ opinions. The proposed decision support system showed good results for determining the amount of economic order and it is presented as a successful tool for planning in SCM. Sensitivity analysis has been applied, which indicates that the decision sup- port system gives valid results. The proposed system is flexible and can be applied to various types of goods in SCM

Ključne riječi
Supply chain management; neuro-fuzzy; ANFIS; economic order quantity; order implementation

Hrčak ID: 228749

URI
https://hrcak.srce.hr/228749

Posjeta: 105 *