A fuzzy multi-objective modelling for supplier selection problem in leagile supply chain

This paper investigates a supplier selection model under leagile procurement. The mathematical model is a fuzzy multi-objective model. The paper incorporates the uncertainty and fuzziness of parameters into the model to identify an appropriate selection policy for suppliers in real-world condition and to overcome the vagueness of the information. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of the leagile supply chain, including the ability to respond to demands, reducing the time delays and costs that are the winner factors of the market in this supply chain, as well as taking into account the capacities and constraints of buyers and suppliers such as the minimum amount of order, maximum budget, etc. Lingo software is used to solve the model and then, considering the long time and inefficiency of exact methods for large-sized problems, a genetic algorithm is applied to achieve the optimum solution. The results show that the proposed algorithm works properly in terms of both CPU time and the quality of solutions.