Hybrid Tool for Optimal Preventive Maintenance Schedule for Deteriorating Systems
Volume 11, Number 3, May 2015 - Paper 8 - pp. 283-291
MAHESH N. DHAWALIKAR1,2, P. K. SRIVIDHYA2, V. MARIAPPAN3, A. SURLAKAR4, M. J. SAKHARDANDE1 and N. PAI BHALE31 Department of Mechanical Engineering, Goa College of Engineering, Farmagudi, Ponda Goa, INDIA.
2 Department of Mechanical Engineering, Periyar Maniammai University, Vallam, Thanjavur, Tamilnadu, INDIA.
3 Agnel Institute of Technology and Design, Assagao, Bardez-Goa, INDIA.
4 Government Polytechnic Bicholim, Bicholim Goa, INDIA.
(Received on June 30, 2014, revised on Oct. 21, 2014 and Jan 30, Feb. 06 and Feb.18, 2015)
This paper statistically establishes the feasibility of using Simulated Annealing as compared to traditional method for the wide range of deteriorating systems and hence presents a Simulated Annealing assisted hybrid tool to determine optimal PM schedule for maximizing availability of deteriorating systems. The proposed method carries out initially the Weibull analysis on the failure data collected, checks for feasibility of PM and if PM is found feasible it searches for global optimal schedule for PM using SA. The results obtained from SA are statistically compared with those obtained using traditional method (Integrated Graphical model) using inferential statistics. As the findings are quite encouraging, the proposed hybrid tool can be conveniently used for deciding PM strategy.
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