MAINTENANCE POLICIES FOR A TWO-UNITS SYSTEM: A COMPARATIVE STUDY

2002 ◽  
Vol 09 (02) ◽  
pp. 127-149 ◽  
Author(s):  
ANNE BARROS ◽  
ANTOINE GRALL ◽  
CHRISTOPHE BÉRENGUER
Keyword(s):  
Numerical Experiments ◽  
Maintenance Cost ◽  
Iteration Algorithm ◽  
Maintenance Policy ◽  
Weak Point ◽  
System A ◽  
Policy Iteration Algorithm ◽  
Maintenance Policies ◽  
The Cost ◽  
Maintenance Plan

This paper considers the age-based maintenance of a two-identical components system with economic dependences. Two existing approaches are presented and compared. One is a maintenance policy of (N,n)-type. It is very close to the optimal policy among all possible policies but difficult to optimize: Policy Iteration Algorithm is needed. The aim of the paper is to investigate if there are cases for which a simpler policy than those of (N,n)-type can be sufficient in terms of maintenance cost. A second approach proposed in literature (derived from the time-based block replacement one) is simpler but not sufficient in any situations. Some numerical experiments and an analysis of the stochastic behavior of the two-identical components system allows us to propose a third policy (Policy P). This third maintenance plan is simplified from the second one. It compensates for its weak point which is to be very expensive when the cost of replacement for one component is close to the cost of replacement for both components. Moreover it is possible to generalize this third policy from a two-identical components system to a n-identical components system. The performances analysis of the policy is based on numerical experiments.

A STOCHASTIC MODEL FOR HYBRID MAINTENANCE POLICIES EVALUATION AND OPTIMIZATION

2001 ◽  
Vol 08 (03) ◽  
pp. 233-248 ◽  
Author(s):  
BRUNO CASTANIER ◽  
ANTOINE GRALL ◽  
CHRISTOPHE BÉRENGUER
Keyword(s):  
Stochastic Process ◽  
Stochastic Model ◽  
Average Cost ◽  
Numerical Experiments ◽  
System State ◽  
Maintenance Policy ◽  
Long Run ◽  
Running Cost ◽  
Maintenance Policies ◽  
The Cost

We propose a hybrid maintenance policy which combines periodic (age-based or time-based) regulation-based inspections with aperiodic condition-based inspection/replacements for a stochastically and gradually deteriorating system. The stationary laws of the deterioration state of the maintained system are derived in order to evaluate the long-run average running cost on an infinite span generated by the proposed combined policy. A computable expression of the average cost is established using the regenerative or semi-regenerative properties of the stochastic process describing the maintained system state. The behavior of the proposed maintenance is illustrated through numerical experiments and it is shown that the cost incurred by the optimized combined policy is lower than the cost generated by the regulation-based maintenance alone.

Availability analysis and maintenance optimization for multiple failure mode systems considering imperfect repair

2021 ◽  
pp. 1748006X2110127
Author(s):  
Qingan Qiu ◽  
Baoliang Liu ◽  
Cong Lin ◽  
Jingjing Wang
Keyword(s):  
Failure Modes ◽  
Maintenance Cost ◽  
Imperfect Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Availability Analysis ◽  
Long Run ◽  
Optimal Maintenance ◽  
Maintenance Policies ◽  
Periodic Inspections

This paper studies the availability and optimal maintenance policies for systems subject to competing failure modes under continuous and periodic inspections. The repair time distribution and maintenance cost are both dependent on the failure modes. We investigate the instantaneous availability and the steady state availability of the system maintained through several imperfect repairs before a replacement is allowed. Analytical expressions for system availability under continuous and periodic inspections are derived respectively. The availability models are then utilized to obtain the optimal inspection and imperfect maintenance policy that minimizes the average long-run cost rate. A numerical example for Remote Power Feeding System is presented to demonstrate the application of the developed approach.

Optimizing the re-profiling policy regarding metropolitan train wheels based on a semi-Markov decision process

2017 ◽  
Vol 231 (5) ◽  
pp. 495-507 ◽  
Author(s):  
Zengqiang Jiang ◽  
Dragan Banjevic ◽  
Mingcheng E ◽  
Bing Li
Keyword(s):  
Markov Decision Process ◽  
Condition Monitoring ◽  
Decision Process ◽  
Maintenance Cost ◽  
Iteration Algorithm ◽  
Long Run ◽  
Flange Thickness ◽  
Markov Decision ◽  
Dimensional State Space ◽  
Policy Iteration Algorithm

In this article, we present a maintenance model for metropolitan train wheels subjected to diameter or flange thickness overruns that includes condition monitoring with periodic inspection. We present a dynamic ([Formula: see text], [Formula: see text]) policy based on condition monitoring information, where [Formula: see text] is the wheel flange thickness threshold that triggers preventive re-profiling and [Formula: see text] is the recovery value for the wheel flange thickness after preventive re-profiling. The problem is modelled as a semi-Markov decision process that considers wear in terms of the diameter and flange thickness simultaneously. The problem is formulated in a two-dimensional state space; this space is defined as a combination of the diameter state and the flange thickness state. The model also considers imperfect wheel maintenance. The model’s objective is to minimize the maintenance cost per unit time that is expected in the long run. We apply a policy-iteration algorithm as the computational approach to determine the optimal re-profiling policy and use an example to demonstrate the method’s effectiveness.

scholarly journals The Optimal Warranty and Preventive Maintenance Policy for the Four-State System

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Ahmed F. Attia ◽  
Eman D. Abou Elela ◽  
Hany A. Hosham
Keyword(s):  
Steady State ◽  
Markov Process ◽  
Preventive Maintenance ◽  
State System ◽  
Maintenance Policy ◽  
Failure Times ◽  
Multistate System ◽  
Maintenance Policies ◽  
The Cost ◽  
Preventive Maintenance Policy

A complete view for the multistate system considering the four-state system is here introduced. The exponential distribution for failure times and repair times is considered. The steady state availability is established via the Markov process. Different warranty and preventive maintenance policies are introduced, and also the cost of these policies for the manufacturer and the buyer is evaluated.

scholarly journals Optimization of the maintenance planning of a multi-component system

2018 ◽  
Vol 200 ◽  
pp. 00011
Author(s):  
Issam Mallouk ◽  
Badr Abou El Majd ◽  
Yves Sallez
Keyword(s):  
High Reliability ◽  
Maintenance Planning ◽  
Multi Objective Optimization ◽  
Maintenance Policy ◽  
Swarm Optimization ◽  
Multiobjective Particle Swarm Optimization ◽  
Maintenance Policies ◽  
The Cost ◽  
The Mathematical Model ◽  
Multi Component System

The vehicle’s maintenance costs, uptime and security are the most important goals for owners and transport companies, but these goals are conflictual and the major cause for delays is related to the maintenance policies. The main objective of transporters is to respond properly to their customer’s demands. In order to deal with this competitiveness, transport companies are working to improve the management of their fleets by focusing in particular on vehicle maintenance, which impact the vehicles uptime, and generate the most important cost. In addition, a vehicle maintenance policy aims to avoid failures and keep the vehicle up and safe. This objective is reached by ensuring a high reliability; otherwise, an unexpected failure of a component can cause vehicle down and can affect the entire sub-system while generating costs. In this paper, we propose a new maintenance policy based on multi-objective optimization. This problem is solved using the Speed-Constrained Multiobjective Particle Swarm Optimization (SMPSO) for an instance of 18 components and 20 vehicles. First, we give an overview of the existing techniques used for vehicle’s maintenance policy, then we present the mathematical model that describes the cost of maintenance and the level of safety. Numerical experiments are presented to demonstrate the efficiency of our approach.

Progressive maintenance policy for multiple repairable systems with imperfect maintenance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Garima Sharma ◽  
Rajiv Nandan Rai
Keyword(s):  
Power Plants ◽  
Maintenance Cost ◽  
Mean Residual Life ◽  
Time Interval ◽  
Imperfect Maintenance ◽  
Repairable Systems ◽  
Maintenance Policy ◽  
Data Set ◽  
Content Type ◽  
Maintenance Policies

PurposeDegradation of repairable components may not be similar after each maintenance activity; thus, the classic (traditional-time based) maintenance policies, which consider preventive maintenance (PM), age-based maintenance and overhauls to be done at fixed time interval, may fail to monitor the exact condition of the component. Thus, a progressive maintenance policy (PMP) may be more appropriate for the industries that deal with large, complex and critical repairable systems (RS) such as aerospace industries, nuclear power plants, etc.Design/methodology/approachA progressive maintenance policy is developed, in which hard life, PM scheduled time and overhaul period of the system are revised after each service activity by adjusting PM interval and mean residual life (MRL) such that the risk of failure is not increased.FindingsA comparative study is then carried out between the classic PM policy and developed PMP, and the improvement in availability, mean time between failures and reduction in maintenance cost is registered.Originality/valueThe proposed PMP takes care of the equipment degradation more efficiently than any other existing maintenance policies and is also flexible in its application as the policy can be continuously amended as per the failure profile of the equipment. Similar maintenance policies assuming lifetime distributions are available in the literature, but to ascertain that the proposed PMP is more suitable and applicable to the industries, this paper uses Kijima-based imperfect maintenance models. The proposed PMP is demonstrated through a real-time data set example.

scholarly journals A MULTI-OBJECTIVE APPROACH TO OPTIMIZE A PERIODIC MAINTENANCE POLICY

2012 ◽  
Vol 19 (06) ◽  
pp. 1240002 ◽  
Author(s):  
ANTONELLA CERTA ◽  
MARIO ENEA ◽  
GIACOMO GALANTE ◽  
TONI LUPO
Keyword(s):  
Programming Model ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Multi Objective ◽  
System A ◽  
Periodic Maintenance ◽  
Finite Time Horizon ◽  
Multi Component System

The present paper proposes a multi-objective approach to find out an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical system inspection by ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that in the case of system elements failure they are instantaneously detected and repaired by means of minimal repair actions in order to rapidly restore the system. A nonlinear integer mathematical programming model is developed to solve the treated multi-objective problem, whereas the Pareto optimal frontier is described by the Lexicographic Goal Programming and the ε-constraint methods. To explain the whole procedure, a case study is solved and the related considerations are given.

Risk Based Multi-Objective Simulation of Ship Main Engine Systems

2009 ◽  
Author(s):  
Lahar Baliwangi ◽  
Ketut Buda Artana ◽  
Kenji Ishida
Keyword(s):  
Maintenance Cost ◽  
Maintenance Policy ◽  
Operation Condition ◽  
Operational Conditions ◽  
Flexible System ◽  
Dynamic Risk ◽  
Operation And Maintenance ◽  
System Risk ◽  
Maintenance Policies ◽  
Main Engine

The research is to understand the behavior of components and systems under various operational conditions, and with various maintenance policies. Therefore, this research is expected to give policy options to management. And further, inform the likely impacts of those options. This research presents a flexible system to simulate the effect of these factors to a system its reliability, operation and the maintenance costs. The model studied consists of failure rate, time to maintain, decision to maintain (or not), degree of how good the maintenance is done, the effect on component after maintenance, the maintenance cost, and the operation cost. A case study of main engine system with its support systems is presented using previous works data. Dynamic risk is presented in this work. It makes it possible to figure more frequently updated risk; therefore, it is easier for the management to modify or to mitigate the possible risk. The simulation shows predictive results for a given scenario of system configuration, operation and maintenance decision in simulating dynamic risk. In addition, this paper is addressed to provide a user friendly tool to simulate the system risk under some designed decisions both operation condition and maintenance policy. The result of a better understanding of system behavior and the risk depend on operation and maintenance policy is expected.

scholarly journals The Proposed Maintenance Task for Plastic Injection Machine Using Reliability and Risk Centered Maintenance (RRCM) method in Manufacturing Industry

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Liza Nafiah Maulidina ◽  
Fransiskus Tatas Dwi Atmaji ◽  
Judi Alhilman
Keyword(s):  
Manufacturing Industry ◽  
Maintenance Cost ◽  
Time Interval ◽  
Maintenance Policy ◽  
Risk Matrix ◽  
Maintenance Time ◽  
Optimal Maintenance ◽  
Critical Components ◽  
The Cost ◽  
Plastic Injection

The objective of this research was to determine the optimal maintenance time interval for the selected critical components and the total cost of maintenance of a plastic injection machine. In determining the critical components, a risk matrix was used, and three components were selected, namely, hydraulic hose, barrel, and motor. Using the Reliability and Risk Centered Maintenance (RRCM) method, the researchers got a proposed maintenance policy and the total maintenance cost. Based on the result, it shows that there are seven proposed maintenance tasks with three scheduled oncondition tasks and four scheduled restoration tasks with an average maintenance interval of two months. The total maintenance cost proposed is IDR91.595.318. The cost is smaller compared to the actual maintenance costs of the company.

scholarly journals The post-warranty random maintenance policies for the product with random working cycles

2021 ◽  
Vol 23 (4) ◽  
pp. 726-735
Author(s):  
Lijun Shang ◽  
Haibin Wang ◽  
Cang Wu ◽  
Zhiqiang Cai
Keyword(s):  
Preventive Maintenance ◽  
Maintenance Policy ◽  
Cost Rate ◽  
Working Cycle ◽  
Maintenance Policies ◽  
Reliability Performance ◽  
The Cost

Advanced sensors and measuring technologies make it possible to monitor the product working cycle. This means the manufacturer’s warranty to ensure reliability performance can be designed by monitoring the product working cycle and the consumer’s post-warranty maintenance to sustain the post-warranty reliability can be modeled by tracking the product working cycle. However, the related works appear seldom in existing literature. In this article, we incorporate random working cycle into warranty and propose a novel warranty ensuring reliability performance of the product with random working cycles. By extending the proposed warranty to the post-warranty maintenance, besides we investigate the postwarranty random maintenance policies sustaining the post-warranty reliability, i.e., replacement last (first) with preventive maintenance (PM). The cost rate is constructed for each post-warranty random maintenance policy. Finally, sensitivity of proposed warranty and investigated polices is analyzed. We discover that replacement last (first) with PM is superior to replacement last (first).

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