Fuzzy models in logistics: Approaches and examples
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
The difficulties of using classical probability-statistical methods in the problems of logistics are described. The necessity and expediency of using for these problems (under conditions of uncertainty and indistinctness of actual information) the methods based on the theory of fuzzy sets is substantiated. Fuzzy multiple approaches to such tasks as optimization of transport distribution and customer service processes, risk assesment using fuzzy conditional certificates, placement of distribution warehousing centers at the service ground have been conceptually presented. Also, are given features of the application for logistics tasks so-called fuzzy sets of the second order. The proposed approaches provide a more capacious and adequate representation of logistics information, which allows to realize more accurate calculations and thereby increase the economic efficiency of logistical optimization.
Açıklama
Anahtar Kelimeler
Logistics, Decision making, Fuzzy modeling
Kaynak
International Congress on Business and Marketing
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Dorokhov, O., Chernov, V. ve Dorokhova, L. (2018). Fuzzy models in logistics: Approaches and examples. International Congress on Business and Marketing. s. 274-287.
