Multi-objective Solid Transportation Problem in Uncertain Environment
Özet
Although new information technologies
decrease information and transaction costs, transportation
problem of physical goods is 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
of finding efficient and sustainable solutions under such
uncertain environments needs to be studied. Thus, this
paper focuses on ‘‘multi-objective solid transportation
problem (STP) in uncertain environment’’ and presents
some approaches to find the compromised optimal solution
of multi-objective 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.
