Abstract
Due to the engineering requirements of products with better quality, the importance of designing reliable systems which normally present high availability is increasing. When the components of higher reliability are used, the associated cost of components also increases. Thus, the decision-makers have to consider both the profit and the quality requirements. The objective of this paper is to improve the design efficiency and to find the most optimal policy for MTBF (mean time between failures), MTTR (mean time to repair) and related costs. Artificial bee colony algorithm has been used to obtained the MTBF and MTTR of various components, in a cost effective manner and results are shown to be statistically significant by means of pooled t-test with other evolutionary algorithm results. The application of the proposed framework has been demonstrated through the washing unit of a paper mill situated in a northern part of India which produces approximately 200 tons of paper per day. Sensitivity analysis has also been addressed to rank the components of the system based on its performance. The system analyst or decision maker may use these optimal values to increase the performance as well as productivity of the system.
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Garg, H., Sharma, S.P. & Rani, M. Cost minimization of washing unit in a paper mill using artificial bee colony technique. Int J Syst Assur Eng Manag 3, 371–381 (2012). https://doi.org/10.1007/s13198-012-0128-3
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DOI: https://doi.org/10.1007/s13198-012-0128-3