A Practical Method for Multi-Objective Scheduling through Soft Computing Approach

Due to diversified customer demands and global competition, scheduling has been increasingly notified as an important problem-solving in manufacturing. Since the scheduling is considered at stage close to the practical operation in production planning, flexibility and agility in decision making should be most important in real world applications. In addition, since the final goal of such scheduling has many attributes, and their relative importance is likely changed depending on the decision environment, it is of great significance to derive a flexible scheduling through plain multi-objective optimization method. To derive such a rational scheduling, in this paper, we have applied a novel multi-objective optimization named MOON2R (MOON2 of radial basis function) by incorporating with simulated annealing as a solution algorithm. Finally, illustrative examples are provided to outline and verify the effectiveness of the proposed method.