| The rapid development of e-commerce and new retail industry not only accelerates the modernization process of China’s consumer market channels,but also further promotes the modernization of China’s consumer goods logistics supply chain.At the same time,the rapid development of e-commerce also has a huge impact on retail stores,forcing enterprises to gradually change from offline sales to online sales,which also brings more opportunities and challenges to the logistics industry.The development of smart logistics has brought new light to logistics enterprises.The essence of smart logistics is "smart + shared" logistics,and the premise of sharing is standardization.However,the degree of logistics information standardization in China is still at a low level.This paper focuses on the pallet leasing market,taking the pallet operation network as the research object,consulting the relevant literature on the pallet sharing system and scheduling problem,and studying the leasing alliance scheduling scheme between the pallet operation network under the T/WD103 standard,so as to promote the popularization and application of the T/WD103 standard,so as to achieve the benign development of the pallet sharing system and promote the effective implementation of intelligent logistics.In this paper,a mixed integer programming(MIP)model is established to minimize the total scheduling cost of all operating nodes,considering the demand constraints of using enterprises,supply constraints of operating nodes,pallet recovery constraints,inventory constraints and scheduling rules constraints among operating nodes.In view of the fact that the pallet alliance scheduling model involves many different operation outlets in the alliance and the enterprises that need a lot of pallets,the genetic algorithm is combined with the characteristics of the pallet alliance scheduling model,and a three-stage greedy method is designed to generate the initial solution set,so as to improve the efficiency of the algorithm.In this paper,the improved genetic algorithm is used to solve the example,and the results are compared with the results of Gurobi.The results show that the improved genetic algorithm can obtain the same solution as Gurobi’s in a short time,which verifies the effectiveness of the algorithm.Secondly,considering the different resource input and contribution of different operation outlets in the alliance,this paper designs an improved Shapley value method to reallocate the cost of each operation outlet in the alliance.In the case of alliance and non alliance,the total cost is affected by five factors: unit transportation cost,unit inventory cost,maximum inventory capacity,maximum transportation capacity and location relationship.Based on the above factors,this paper makes a sensitivity analysis of the total cost before and after the alliance and the cost of each operating network.The results show that,in the case of leasing alliance,the surplus inventory capacity of other operating outlets in the same region can be used to reduce the inventory cost,and the transportation resources in the alliance can be used to effectively reduce the transportation cost.When the operation network’s own inventory capacity or transportation capacity is insufficient,it can make full use of the additional resources of other operation network in the alliance to save the external purchase cost and inventory penalty cost.At the same time,the network with surplus capacity can also obtain additional income and achieve a win-win situation.Reasonable choice of the location of the operation network can also effectively reduce the cost of pallet transportation,so on the premise of sharing the pallet,joining the operation network of the alliance can effectively save the cost. |
