| Authors | Saber Molla-Alizadeh, Amir Noroozi, Hadi Mokhtari |
|---|---|
| Journal | - |
| Paper Type | Full Paper |
| Published At | ۲۰۱۶-۶-۰۱ |
| Journal Grade | Scientific - research |
| Journal Type | Typographic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | ISC |
Abstract
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.