Entropy-based multi-item solid transportation problems with uncertain variables
Yükleniyor...
Tarih
2019-07-01
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Nature
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
This paper focuses on modeling and optimization of entropy-based uncertain multi-item solid transportation problems (MISTPs), in which direct costs, supplies, demands, conveyance capacities are uncertain nature. The purpose is to minimize the total uncertain cost via maximum entropy which ensures uniform delivery of products from sources to destinations through conveyances. The expected value programming and expected constrained programming models for optimizing the entropy-based uncertain MISTPs are constructed. These models are based on uncertainty theory. Subsequently, the constructed models are converted into their deterministic equivalences which are solved using two known mathematical programming methods. Finally, a numerical example is given to illustrate the models.
Açıklama
Anahtar Kelimeler
Multi-Item Transportation Problem, Uncertain Entropy Function, Uncertain Multi-Objective Optimization, Uncertainty Theory
Kaynak
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
23
Sayı
14
Künye
Dalman, H. (2019). Entropy-based multi-item solid transportation problems with uncertain variables. Soft Computing, 23 (14), pp. 5931-5943. https://dx.doi.org/10.1007/s00500-018-3255-1.
