A Method for Monitoring Reliability Change after Preventive Maintenance

2021 ◽  
Vol 9 (3) ◽  
pp. 981-987
Author(s):  
Jongwoon Kim ◽  
Alfonsus Julanto Endharta
Keyword(s):  
Preventive Maintenance ◽  
Monitoring Reliability

ABOUT IMPROVING THE QUALITY OF PREVENTIVE MAINTENANCE EQUIPMENT FOR PROCESSING FACTORY LLC "SUEK-KHAKASIA"

2017 ◽  
Vol 12 (39) ◽  
pp. 166-172
Author(s):  
I.V. Pivovarov ◽  
◽  
A.A. Lakhin ◽  
I.V. Maryasov ◽  
D.S. Senatorov ◽  
...  
Keyword(s):  
Preventive Maintenance

Scope on Safety: An Ounce of Preventive Maintenance

Science Scope ◽  
2015 ◽  
Vol 038 (8) ◽  
Author(s):  
Kenneth Roy
Keyword(s):  
Preventive Maintenance

Optimizing preventive maintenance over a finite planning horizon in a semi-Markov framework

2020 ◽  
Author(s):  
Antonio Sánchez Herguedas ◽  
Adolfo Crespo Márquez ◽  
Francisco Rodrigo Muñoz
Keyword(s):  
Preventive Maintenance ◽  
Recurrence Relations ◽  
Direct Calculation ◽  
Planning Horizon ◽  
Practical Implementation ◽  
Practical Application ◽  
Mathematical Solution ◽  
Accumulated Reward ◽  
Finite Planning Horizon

Abstract This paper describes the optimization of preventive maintenance (PM) over a finite planning horizon in a semi-Markov framework. In this framework, the asset may be operating, and providing income for the asset owner, or not operating and undergoing PM, or not operating and undergoing corrective maintenance following failure. PM is triggered when the asset has been operating for τ time units. A number m of transitions specifies the finite horizon. This system is described with a set of recurrence relations, and their z-transform is used to determine the value of τ that maximizes the average accumulated reward over the horizon. We study under what conditions a solution can be found, and for those specific cases the solution τ* is calculated. Despite the complexity of the mathematical solution, the result obtained allows the analyst to provide a quick and easy-to-use tool for practical application in many real-world cases. To demonstrate this, the method has been implemented for a case study, and its accuracy and practical implementation were tested using Monte Carlo simulation and direct calculation.

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