Solving the Problem of Hub Position (Center) for the Comprehensive Supply Chain of Medical Goods under Conditions of Uncertainty with a Robust Approach Using Torabi-Hassini Method, Benders Decomposition Algorithm and Meta-Heuristic Algorithms

Abstract

Environmental concerns have caused the attention of researchers to study in the field of green supply chain. In this study, the mathematical model is developed with different purpose functions. The target functions are: (a) The amount of coverage demand, (b) the cost due to changes in the structure of the hubs, (c) maximize the level of green hub location. For solving problems with low dimensions with the GAMS solver, the time to solve the problem is not much different from using Benders decomposition algorithm. Finally, to evaluate the model after designing the problem and generating random data, the designed problem was investigated using of MOPSO and NSGA II. The computational time obtained from solving the sample problem with the MOPSO algorithm is less than the NSGA II. Therefore, according to the conditions at each point of the network, facilities can have different characteristics.