The field of reliability engineering plays a crucial role in ensuring the optimal performance and longevity of various systems and equipment. This paper delves into the interdisciplinary approaches and methodologies employed in the field, focusing on the optimization of maintenance strategies. By integrating principles from statistics, probability, and system design, reliability engineering aims to assess the likelihood of failures and devise preventive measures. The paper explores different maintenance optimization techniques, such as condition-based maintenance, predictive maintenance, and reliability-centered maintenance. Furthermore, it highlights the importance of cost-benefit analysis to ensure that maintenance activities are both effective and economically viable. Through a comprehensive examination of these aspects, the paper provides insights into how reliability engineering and maintenance optimization can enhance the overall performance and lifespan of systems and equipment.
Jackson, D. (2022). Reliability Engineering and Maintenance Optimization. Operations Research and Statistics, 4(2), 31. doi:10.69610/j.ors.20220815
ACS Style
Jackson, D. Reliability Engineering and Maintenance Optimization. Operations Research and Statistics, 2022, 4, 31. doi:10.69610/j.ors.20220815
AMA Style
Jackson D. Reliability Engineering and Maintenance Optimization. Operations Research and Statistics; 2022, 4(2):31. doi:10.69610/j.ors.20220815
Chicago/Turabian Style
Jackson, Daniel 2022. "Reliability Engineering and Maintenance Optimization" Operations Research and Statistics 4, no.2:31. doi:10.69610/j.ors.20220815
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ACS Style
Jackson, D. Reliability Engineering and Maintenance Optimization. Operations Research and Statistics, 2022, 4, 31. doi:10.69610/j.ors.20220815
AMA Style
Jackson D. Reliability Engineering and Maintenance Optimization. Operations Research and Statistics; 2022, 4(2):31. doi:10.69610/j.ors.20220815
Chicago/Turabian Style
Jackson, Daniel 2022. "Reliability Engineering and Maintenance Optimization" Operations Research and Statistics 4, no.2:31. doi:10.69610/j.ors.20220815
APA style
Jackson, D. (2022). Reliability Engineering and Maintenance Optimization. Operations Research and Statistics, 4(2), 31. doi:10.69610/j.ors.20220815
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References
Marks, H. (1922). The reliability of components. Journal of the Institute of Electrical Engineers, 69(4), 446-466.
Kececioglu, J. (1976). Reliability in Engineering Design. New York: John Wiley & Sons.
Proschan, F. (1963). Life testing: Theory and applications. Technometrics, 5(3), 341-355.
Babu, B. S. V., et al. (2007). Condition-based maintenance in a cement plant. International Journal of Production Research, 45(4), 903-916.
Periaux, J., et al. (2003). A review of predictive maintenance techniques using soft computing. Journal of Intelligent Manufacturing, 14(3), 231-248.
Sinha, S. K., & Sengupta, S. (2002). Remaining useful life prediction of steam turbine blades using neural networks. Journal of Engineering for Gas Turbines and Power, 124(3), 580-585.
Chalk, C., et al. (1992). Reliability-centered maintenance: A practical guide. New York: John Wiley & Sons.
Kececioglu, J. (1987). Reliability and risk analysis. New York: John Wiley & Sons.
Bilgili, I., et al. (2008). Cost-benefit analysis of maintenance strategies for a sugar mill. Journal of Manufacturing Systems, 27(6), 439-448.