Diminishing the Earliness and Tardiness of AGV using PSBCSP Algorithm

As the earliness of the AGVs results in waiting and tardiness of AGVs results in temporary storage of the products in the shop floor, it is essential to minimize the earliness and tardiness of AGVs. Therefore we are proposing a mathematical optimization program in order to minimize the total earliness and total tardiness of AGVs in the manufacturing system. Since it is difficult to solve the mathematical program by conventional method, an optimization technique namely Positive Selection Based Clonal Selection Principle algorithm is used to obtain the optimal solution. The proposed algorithm is tested with the numerical examples and also compared with the other methods in the literature.