A New Set of Indexes and Thresholds of Preventive Maintenance Decision Making for Airport Runway Composite Pavement

2022 ◽  
Vol 148 (1) ◽  
Author(s):  
Shifu Liu ◽  
Jianming Ling ◽  
Zhenji Wu ◽  
Penghui Li ◽  
Jiake Zhang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Decision ◽  
Airport Runway

Optimization of equal-cycle maintenance strategy considering imperfect preventive maintenance

2021 ◽  
pp. 095440892110638
Author(s):  
Xinlong Li ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Action Unit ◽  
Cost Rate ◽  
Equipment Reliability ◽  
Optimal Maintenance ◽  
Important Means ◽  
Maintenance Decision

Preventive maintenance is an important means to extend equipment life and improve equipment reliability. Traditional preventive maintenance decision-making is often based on components or the entire system, the granularity is too large and the decision-making is not accurate enough. The meta-action unit is more refined than the component or system, so the maintenance decision-making based on the meta-action unit is more accurate. Therefore, this paper takes the meta-action unit as the research carrier, considers the imperfect preventive maintenance, based on the hybrid hazard rate model, established the imperfect preventive maintenance optimization model of the meta-action unit, and the optimization solution algorithm was given for the maintenance strategy. Finally, through numerical analysis, the validity of the model is verified, and the influence of different maintenance costs on the optimal maintenance strategy and optimal maintenance cost rate is analyzed.

Integrated Production and Preventive Maintenance Decision Making Using Option-Based Cost Model

2009 ◽  
Author(s):  
Xiaoning Jin ◽  
Lin Li ◽  
Jun Ni
Keyword(s):  
Decision Making ◽  
Production System ◽  
Preventive Maintenance ◽  
Demand Uncertainty ◽  
Cost Model ◽  
Stochastic Demand ◽  
Optimal Number ◽  
Integrated Production ◽  
Maintenance Decision ◽  
Cost Parameters

This paper presents an analytical, option-based cost model for an integrated production and preventive maintenance decision making with stochastic demand. The determination of preventive maintenance times and their schedule during a production period is converted to an option problem through maximizing the profit of the production per unit time. The optimal number of preventive maintenance actions is obtained and some further discussions on how the cost parameters affect the optimal results are also derived. The resulting option-based model is found to add flexibility to the production system and thus reduce the risk of shortage when the production system is faced with stochastic demand. A comparisons between the basic model (without option) and the option-based preventive maintenance model has shown that the option model is a more flexible under demand uncertainty and results in at least as much profit as the basic one.

scholarly journals Integrated reconfiguration and age-based preventive maintenance decision making

2007 ◽  
Vol 39 (12) ◽  
pp. 1085-1102 ◽  
Author(s):  
Jing Zhou ◽  
Dragan Djurdjanovic ◽  
Julie Ivy ◽  
Jun Ni
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Maintenance Decision

Utilization of Satellite Monitoring for Maintenance Decision Making

2014 ◽  
Vol 1030-1032 ◽  
pp. 1864-1867
Author(s):  
Jindřich Pavlů ◽  
Zdeněk Aleš ◽  
Vladimír Jurča ◽  
Martin Pexa ◽  
Petr Valášek
Keyword(s):  
Decision Making ◽  
Global Positioning System ◽  
Preventive Maintenance ◽  
Modern Technology ◽  
New Method ◽  
Satellite Monitoring ◽  
Positioning System ◽  
Packet Radio ◽  
Global Positioning ◽  
Maintenance Decision

Properly performed preventive maintenance is one of the basic conditions for ensuring the operability of the mobile machines. The authors proposed new method of using the modern technology of Global Positioning System and General Packet Radio Services, in order to make proper maintenance decision making and furthermore to reduce costs of preventive maintenance.

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