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.

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.

A Risk-Based Maintenance Decision-Making Approach for Railway Asset Management

2018 ◽  
Vol 28 (04) ◽  
pp. 453-483 ◽  
Author(s):  
Li Wang ◽  
Min An ◽  
Yong Qin ◽  
Limin Jia
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Risk Model ◽  
Cost Model ◽  
Fuzzy Ahp ◽  
Maintenance Cost ◽  
Modeling Methodology ◽  
Maintenance Decision ◽  
Support Model ◽  
Decision Making Support

This paper presents a risk-based maintenance decision making modeling methodology for railway asset maintenance optimization, which takes risk and maintenance cost objectives into consideration in the decision making process. A bottom-up risk analysis approach has been developed by using fuzzy reasoning approach (FRA) and fuzzy-analytical hierarchy process (Fuzzy-AHP) to produce a risk model. A total cost model has also been developed to estimate repair/renewal, maintenance and performance review costs. A risk-based maintenance decision making support model has then been developed by integrating the risk model with cost model in which multi-criteria decision making (MCDM) techniques are employed to process the proposed risk-based maintenance decision making support model. An illustrative example on a section of a track system maintenance decision selection is used to demonstrate the application of the proposed methodology. The results show that by using the proposed methodology the qualitative and quantitative risk data and information with maintenance costs associated with railway assets can be evaluated efficiently and effectively, which provide very useful information to railway engineers, managers, and decision makers.

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.

scholarly journals Quasi-Optimal Sizing of a Vehicle Fleet Considering Environmental Impact, Maintenance, and Eventual Containment Measures

2021 ◽  
Vol 13 (8) ◽  
pp. 4384
Author(s):  
Malek Mechlia ◽  
Jérémie Schutz ◽  
Sofiene Dellagi ◽  
Anis Chelbi
Keyword(s):  
Environmental Impact ◽  
Electric Vehicles ◽  
Preventive Maintenance ◽  
Cost Model ◽  
Optimal Number ◽  
Health Crisis ◽  
Containment Measures ◽  
Vehicle Fleet ◽  
The Cost ◽  
Maintenance Plan

In this paper, N types of vehicles having different environmental impacts and different failure rates are considered to perform a set of missions during a predefined period. The sizing problem of the fleet of vehicles is typically based on the literature for the environmental impact of each type of vehicle. This work intends to develop a model that allows considering not only the extent of recourse to non-polluting vehicles but also the preventive maintenance (PM) policy to be adopted for each of the N types of vehicles. More specifically, the objective of this work consists in determining simultaneously the quasi-optimal number of vehicles of each type to be used, the duration of their use, and their average usage rate as well as the period according to which each type of vehicle should be submitted to preventive maintenance. A mathematical model is developed to express and optimize the expected total cost, which includes the costs related to acquisition, operating, maintenance, and environmental impact in addition to considering the resale value. Then, the situation of using the acquired vehicle fleet in a context of a health crisis with containment measures is considered. The latter make it impossible to perform preventive maintenance actions during the containment period. For such situations, given the accumulated degradation in absence of preventive maintenance, the cost model is modified to generate a new preventive maintenance plan to be applied for each vehicle after the containment exit. Numerical results related to fuel and electric vehicles of two brands (Renault and Nissan) are presented and discussed.

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