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Abstract
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Article Information:
A New Method Based on Multi Agent System and Artificial Immune System for Systematic Maintenance
Adel Abdelhadi and L. Hayet Mouss
Corresponding Author: Adel Abdelhadi
Submitted: November 06, 2013
Accepted: November 29, 2013
Published: May 15, 2014 |
Abstract:
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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.
Key words: Artificial immune system, hybrid flow shop scheduling, makespan, multi agent systems, scheduling, systematic maintenance,
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Cite this Reference:
Adel Abdelhadi and L. Hayet Mouss, . A New Method Based on Multi Agent System and Artificial Immune System for Systematic Maintenance. Research Journal of Applied Sciences, Engineering and Technology, (19): 4008-4017.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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