Abstract
This study propose a novel method for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling. The proposed approach is inspired by the behavior of the human body. We have implemented a problem-solving approach for optimizing the processing time, methods based on Métaheuristiques. This hybridization is between a Multi agent system and inspirations of the human body, especially artificial immune system. The effectiveness of our approach has been demonstrated repeatedly in this study. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling.
Highlights
One of the assumptions of the most studied scheduling considering that machines may not be periodically available during the production scheduling
This study examines the scheduling of a workshop under the hybrid flow shop systematic preventive maintenance
We implemented its heuristics in MATLAB 7.0 that runs on a PC Intel Core 2 Duo 2.0 GHz and 2 GB RAM The stopping criterion used when testing with all instances of heuristics is set a time limit of the CPU set to n2 × m × 1.5 msec
Summary
One of the assumptions of the most studied scheduling considering that machines may not be periodically available during the production scheduling. Many researchers have attempted to integrate the production and preventive maintenance planning by different methods, some of these methods are so complex that one cannot independently code them to achieve the same effectiveness, or some strongly used, the specific functionalities of the original problem considered cannot be extended to other problems. This study proposes to apply a simple methods of integration, yet extendible to other scheduling problems of the machine. This study examines the scheduling of a workshop under the hybrid flow shop systematic preventive maintenance. A multi agent based on emergence method, including artificial immune system and some constructive heuristics are developed to tackle the problem
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