  In this paper, an uncertain Multi-objective Multi-item Solid Transportation
Problem (MMSTP) based on uncertainty theory is presented. In the model,
transportation costs, supplies, demands and conveyances parameters are taken to
be uncertain parameters. There are restrictions on some items and conveyances
of the model. Therefore, some particular items cannot be transported by some
exceptional conveyances. Using the advantage of uncertainty theory, the MMSTP
is first converted into an equivalent deterministic MMSTP. By applying convex
combination method and minimizing distance function method, the deterministic
MMSTP is reduced into single objective programming problems. Thus, both single
objective programming problems are solved using Maple 18.02 optimization
toolbox. Finally, a numerical example is given to illustrate the performance of
the models.
