Abstract: Including two service supplies and multiple service integers based on the M/M/C/∞/m/FCFS queuing system, a two-echelon service supply chain system was considered. The lateral collaborative transshipment principle and partial inventory sharing strategy to satisfy the demand. When a service integers stock is more than the collaborative transshipment point, the service integer could transport service item to other service integers. Otherwise, other service integers or the shared warehouse should transport service item to this service integer. Then the model is developed with the constraint of individual service integers service level to maximize the system total profit and minimize the waiting time, in which service integers stock level and collaborative transshipment points are decision variables. Based on two-stage particle swarm algorithm which combined random fuzzy simulation, the proposed model is solved. At last, a numerical example is given to analyze the total profit difference and the waiting time among partial collaborative transshipment strategy and no collaborative transshipment strategy. It is shown that the strategy with collaborative partial transshipment is superior to that without collaborative transshipment and it proves that this study has theoretical and practical values.

Key words: collaborative transshipment, fuzzy simulation, stochastic simulation, emergent service supply chain, two-stage particle swarm algorithm