This paper concentrates on modeling of the uncertain entropy multi item solid transportation problem, in which the supply
capacities, demands, conveyances and transportation capacities are thought to be uncertain variables due to the obvious uncertainty of
information. In general, the transportation cost in the transportation problem is employed by the optimization aim, while the dispersals
of trips among sources, destinations, and conveyances are often ignored. In order to minimize both transportation penalties and
maximize entropy value which guarantees uniform transportation of products from sources to destinations via conveyances, this paper
holds entropy function of dispersals of trips among sources, destinations, and conveyances as a second objective function. Inside the
construction of uncertainty theory, the uncertain entropy function for transportation models is first proposed here. Thus the model is
turned into its crisp equivalent by using uncertainty theory, which can be solved by applying minimizing distance optimization
method. Finally, a numerical experiment is given to illustrate the models.
Uncertain entropy function multi-item solid transportation problem uncertain multiobjective optimization
Birincil Dil | İngilizce |
---|---|
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 30 Nisan 2018 |
Yayımlandığı Sayı | Yıl 2018 Cilt: 3 Sayı: 1 |