This paper studies the expect-risk robust scheduling under machine breakdowns in multi-stage flow shop, aiming to solve the schedules which can minimize the expected makespan and the risk at the same time as far as possible. Then, an improved quantum-inspired evolutionary algorithm is proposed to solve the problem. A computational experiment is conducted to illustrate that the robust scheduling of multi-stage flow shop can increase scheduling performance and reduce risk remarkably under machine breakdowns effectively.