Robust optimization model of multi-logistics-task allocation under service time uncertainty

In order to reduce the multilayer supply chain logistics cost and optimize logistics integrator task allocation, this paper aiming at the uncertainty of logistics service time, a relatively robust optimization model was established by considering logistics service node soft time window constraints based on the optimal total cost. Genetic algorithm is used to solve the problem, Results show that the model reasonably solves task allocation problem for logistics service integrator with the service provider time uncertain conditions. The numerical example further verify the robust optimization model could achieve the trade-off between optimality and robustness of task allocation, and it is effective in reducing the logistics cost.