Although new information technologies decrease information and transaction costs, transportation problem of physical goods are still relevant. Globalization of trade increased the uncertainty that companies are facing, it also increased the importance of supply chain management in world economies drastically. Because transportation systems are crucial for operation management, the problem to find efficient and sustainable solutions under such uncertain environments needs to be studied. Thus, this paper focuses on “multiobjective Solid Transportation Problem (STP) in uncertain environment” and presents some approach to find the compromise optimal solution of multiobjective STP. Then, compatible with uncertainty, fuzzy programming and some techniques of the fuzzy set theory are implemented to solve the problem by using Maple 17.02. A numerical example is executed and presented here to illustrate suggested procedures.
Dalman, H. and Sivri, M. (2016). Multi objective Solid Transportation Problem In Uncertain Environment. Iranian Journal of Science, (), -. doi: 10.22099/ijsts.2016.3508
MLA
Dalman, H. , and Sivri, M. . "Multi objective Solid Transportation Problem In Uncertain Environment", Iranian Journal of Science, , , 2016, -. doi: 10.22099/ijsts.2016.3508
HARVARD
Dalman, H., Sivri, M. (2016). 'Multi objective Solid Transportation Problem In Uncertain Environment', Iranian Journal of Science, (), pp. -. doi: 10.22099/ijsts.2016.3508
CHICAGO
H. Dalman and M. Sivri, "Multi objective Solid Transportation Problem In Uncertain Environment," Iranian Journal of Science, (2016): -, doi: 10.22099/ijsts.2016.3508
VANCOUVER
Dalman, H., Sivri, M. Multi objective Solid Transportation Problem In Uncertain Environment. Iranian Journal of Science, 2016; (): -. doi: 10.22099/ijsts.2016.3508