The paper develops a multi-product and multi-batch scheduling model for the ion exchange membranes shop
scheduling problem of certain electro-chemical plant firstly, which aims at maximize production value and mixes middle-
storage combination of continuous and batch processes. Then an improved particle swarm optimization (IPSO) algorithm
is introduced to solve the special shop scheduling problem, which takes advantage of adaptive chaos mutation operator to
enhance the local search ability and keep the swarm diversity. Finally, the result of simulation shows that, the model and the
algorithm are effective, which not only meet the plan demands, but also get satisfactory of day-production value.