Optimization of Warranty Cost using Genetic Algorithm: A Case Study in Fleet Vehicle
Hairudin Abdul Majid1, Nur Hayati Kasim2, Azurah A. Samah3
1Hairudin Abdul Majid, Department of Modeling and Industrial Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
2Nur Hayati Kasim, Department of Modeling and Industrial Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
3Azurah A. Samah, Department of Modeling and Industrial Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
Manuscript received on August 04, 2013. | Revised Manuscript received on August 28, 2013. | Manuscript published on September 05, 2013. | PP: 199-202 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1823093413/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Optimization is a process of making something better. Genetic Algorithm (GA) has been widely used in many applications specifically in optimization problem. This paper describes GA and its application to warranty problem in optimizing total cost of warranty. A detail procedure of GA process is provided in this paper. Initial point were created randomly and the survival are depends on fitness criterion. Improvement in every generation of GA process gives the fittest solution which is the most optimum. The results of GA give small error of parameter values while comparing with estimated values by using Maximum Likelihood Estimation (MLE).
Keywords: Fleet vehicle, Genetic Algorithm, Optimization, Warranty.