Two-Echelon Location Routing Problem with Multi-fuzzy and Pick-Delivery Model and Algorithm

With the rapid development of B2C e-commerce, the logistics distribution system has a situation of high cost and poor service levels. In this paper, according to the characteristics of B2C, we proposed a multi-fuzzy two-echelon location routing problem with pick and delivery model. The model contains two fuzzy factors: the fuzzy customer behavior in the process of consumption and the fuzzy time of traffic in logistics distribution vehicle. In addition, model also consider the customer's time window constraint. The model we proposed can further optimize the logistics distribution system, and reduce the total cost of logistics system. For a variety of fuzziness and complexity, this paper designed the random fuzzy simulation algorithm to transform the fuzzy factors as the certainty factor, embedding tabu search of simulated annealing algorithm for problem solving. In the end, the experiment of algorithm and model design are verified.