Application of fuzzy composition for logistics flows modeling
Nikishov S.I.1
1 Российская академия народного хозяйства и государственной службы при Президенте РФ
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Journal paper
Russian Journal of Innovation Economics (РИНЦ, ВАК)
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Volume 7, Number 3 (July-September 2017)
Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=30107681
Cited: 11 by 25.03.2022
Abstract:
This article considers the issue of information redundancy and the problem of communications between participants of logistics market in the context of information overflow. It illustrates the application of fuzzy logic for logistics flows modeling using the example of the composition of fuzzy relations for further automation of decision-making processes. The article also describes the features of coplanar flows.
Keywords: innovative logistics, information logistics, logistic flows, fuzzy relations, coplanar flows, fuzzy set theory
JEL-classification: O33, O32, C45
References:
Bryntsev A.N., Nikishov S.I (2016). Logistika: Adaptivnye informatsionnye potoki [Logistics: Adaptive information flows] Moscow: OAO «ITKOR». (in Russian).
Bryntsev A.N.,Sinko A.V. (2013). Logistika vneshneekonomicheskoy deyatelnosti [Logistics of foreign economic activity] Moscow: Izdatelskiy dom «Ekonomicheskaya gazeta». (in Russian).
Dobronravin E.R. (2011). Okruzhenie firmy kak obekt optimizatsii. Modelirovanie usloviy funktsionirovaniya materialnogo potoka logisticheskoy sistemy [Environment of the company as an object of optimization. Modeling the conditions for the functioning of material flow of the logistics system]. Russian Entrepreneurship. (10). (in Russian).
Giza F., Zaytsev A.A. (2015). Integratsiya podsistemy upravleniya tsepochkami postavok v innovatsionnuyu deyatelnost vysokotekhnologichnyh predpriyatiy [Integration of supply chain management subsystem in the innovative activities of high-tech enterprises]. Issues of innovative economy. (3). 63-78. (in Russian).
Guba K.A., Dyubanov G.N. (2013). Optimizatsiya skladskoy logistiki s primeneniem apparata nechetkoy logiki [Optimizing warehouse logistics through fuzzy logic device]. The World of economics and management. 13 (3). 14-18. (in Russian).
Kaukin A.S., Pavlov P.N., Filicheva E.V. (2015). Modelirovanie prostranstvennogo raspredeleniya rossiyskikh vneshnetorgovyh potokov c uchetom realnyh izderzhek transportirovki [Modeling of the spatial distribution of Russia’s foreign trade flows taking into account the real transportation costs]. Russian Entrepreneurship. 16 (23). 4297-4310. (in Russian). doi: 10.18334/rp.16.23.2158.
Leonenkov A.V. (2005). Nechetkoe modelirovanie v srede MathLab i FuzzyTech [Fuzzy modeling in MatLab and FuzzyTech] SPb: BKhV-Peterburg. (in Russian).
Levchenko N.G. (2016). Intellektualnye informatsionnye tekhnologii v upravlenii [Intellectual information technologies in management]. Vestnik Morskogo gosudarstvennogo universiteta. 75 37-44. (in Russian).
Nikishov S.I. (2016). Razvitie adaptivnyh potokov v tsifrovoy ekonomike [Development of adaptive flows in the digital economy]. RISK: Resources, information, supply, competition. (4). 168-172. (in Russian).
Protsenko I.O. (2009). Nekotorye aspekty teorii i praktiki v upravlenii tsepyu postavok [Some aspects of theory and practice in supply chain management]. Russian Entrepreneurship. (2). (in Russian).
Zade L.M. (1976). Prinyatie resheniy v rasplyvchatyh usloviyakh [Decision making in vague conditions] M.: Mir. (in Russian).
Zaytsev A.A., Giza F. (2014). Rol upravleniya tsepochkami postavok v razvitii sovremennogo biznesa [The role of supply chain management in the development of modern business]. Russian Entrepreneurship. (8(254)). (in Russian).
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