Modelling and analysis of maintenance contract with imperfect preventive maintenance

2015 ◽  
Author(s):  
H. Husniah ◽  
A. Cakravastia ◽  
B. P. Iskandar ◽  
U. S. Pasaribu
Keyword(s):  
Preventive Maintenance

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

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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