Saber Molla-Alizadeh Zavardehi - Department of Industrial Engineering, Islamic Azad University, Masjed Soleyman Branch
Amir Noroozi - PhD Candidate, Department of Industrial Engineering, Iran University of Science and Technology
hadi mokhtari - Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, University of Kashan

In today s real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored, because it plays an important role in the success of manufacturing facilities. However, most manufacturers suffer from lack of a total maintenance plan for their crucial manufacturing systems. Hence, in this paper, we study a maintenance operations planning optimization on a realistic variant of parallel batch machines manufacturing system which considers non-identical parallel processing machines with non-identical job sizes and fixed/flexible maintenance operations. To reach an appropriate maintenance schedule, we propose a solution frameworks based on an Artificial Immune Algorithm (AIA). Then, we introduce a new method to calculate the affinity value by using an adjustment rate. Finally, the performance of the proposed methods are investigated. Computational experiments, for a wide range of test problems, are carried out in order to evaluate the performance of methods

Manufacturing systems, Preventive maintenance, Total maintenance program, Batch processing