Integrated reliability and optimal maintenance schedule design: a Life Cycle Cost based approach

2008 ◽  
Vol 3 (1) ◽  
pp. 78 ◽  
Author(s):  
Bhupesh Kumar Lad ◽  
M.S. Kulkarni
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Maintenance Schedule ◽  
Schedule Design ◽  
Optimal Maintenance

Optimizing Ship Machinery Maintenance Scheduling Through Risk Analysis and Life Cycle Cost Analysis

2006 ◽  
Author(s):  
Lahar Baliwangi ◽  
Kenji Ishida ◽  
Hidetoshi Arima ◽  
Ketut Buda Artana
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Risk Evaluation ◽  
System Modeling ◽  
Scheduling Algorithm ◽  
Maintenance Scheduling ◽  
Maintenance Cost ◽  
Penalty Cost ◽  
Maintenance Schedule ◽  
Optimal Maintenance

Ship maintenance scheduling management integrated with risk evaluation and Life Cycle Cost (LCC) assessment approach is developed in this research. It improves upon existing practices in arranging an optimal maintenance schedule by modeling operational and economical risks. This paper researches maintenance scheduling algorithm with explicitly consider risks associated with some operation problems such as operating schedule, routes, ship position, resources availability, and achievement of reliability-availability-maintainability (RAM) of system. Modeling of components RAM with their failures consequences results risk evaluation. Time value of maintenance cost, replacement cost, earning rate, and penalty cost are also simulated. When the system reaches the lowest level of lower limit reliability, one or more components should be maintained or replaced. Since maintenance task may interrupt the operation, to minimize time-to-maintain all possible events of maintaining other components at the same time will be evaluated together with resources availability. By researching those possibilities, constraining the risk, and based on LCC calculation result, an optimal maintenance scheduling can be then well established.

scholarly journals Economic Analysis for Setting Appropriate Repair Cycles on the Fixed Materials and Facilities in the Public Rental Housing

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Sung-Min Choi ◽  
Yeon-Sil Lee
Keyword(s):  
Life Cycle ◽  
Economic Analysis ◽  
Life Cycle Cost ◽  
Rental Housing ◽  
The Public ◽  
Public Rental Housing ◽  
Maintenance Cycle ◽  
Minimum Age ◽  
Optimal Maintenance ◽  
The Cost

Currently, repair and maintenance cycles that follow the completion of construction facilities lead to the necessitation of subsequent data on the analysis of study and plan for maintenance. As such, an index of evaluation was drafted and a plan of maintenance cycle was computed using the investigation data derived from surveying target housing units in permanent rental environmental conditions, with a minimum age of 20 years, and their maintenance history. Optimal maintenance and replacement methods were proposed based on this data. Economic analysis was conducted through the Risk-Weighted Life Cycle Cost (RWLCC) method in order to determine the cost analysis of maintenance life cycle methods used for repair. Current maintenance cycle methods that have been used for 20 years were also compared with alternative maintenance cycles.

Economic Analysis of Buried Corrugated Steel Culverts Considering Deterioration

2014 ◽  
Vol 960-961 ◽  
pp. 281-286
Author(s):  
Chun Hong Zhi
Keyword(s):  
Life Cycle ◽  
Economic Analysis ◽  
Life Cycle Cost ◽  
Emergency Situation ◽  
Decision Makers ◽  
Maintenance Schedule ◽  
Comparison Results ◽  
Inspection And Maintenance ◽  
Economic Comparison ◽  
Project Decision

The characteristics of the corrugated steel culvert and the deterioration of the structure are analyzed. The Life Cycle Cost (LCC) approach is put forward to analysis the initial, maintenance and recycling cost of the different material culverts. The user delay costs are added to the typical LCC values considering the deterioration and the failure of structures. The analysis and the economic comparison results show that the total LCC values at the failure emergency situation is much larger than the situation when the deterioration is considered initiatively. Such economic analysis can help the project decision makers better understand the risks associated with deterioration and failure. The inspection and maintenance schedule should be formulated considering the culvert size, the environment in which the culvert is placed, and the characteristics of the soil and the backfill.

Design for maintenance: new algorithmic approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oussama Adjoul ◽  
Khaled Benfriha ◽  
Améziane Aoussat
Keyword(s):  
Genetic Algorithms ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Multicomponent System ◽  
Systems Design ◽  
Simultaneous Optimization ◽  
Product Architecture ◽  
Design Stage ◽  
Content Type ◽  
Optimal Maintenance

PurposeThis paper proposes a new simultaneous optimization model of the industrial systems design and maintenance. This model aims to help the designer in searching for technical solutions and the product architecture by integrating the maintenance issues from the design stage. The goal is to reduce the life-cycle cost (LCC) of the studied system.Design/methodology/approachLiterature indicates that the different approaches used in the design for maintenance (DFM) methods are limited to the simultaneous characterization of the reliability and the maintainability of a multicomponent system as well as the modeling of the dynamic maintenance. This article proposes to go further in the optimization of the product, by simultaneously characterizing the design, in terms of reliability and maintainability, as well as the dynamic planning of the maintenance operations. This combinatorial characterization is performed by a two-level hybrid algorithm based on the genetic algorithms.FindingsThe proposed tool offers, depending on the life-cycle expectation, the desired availability, the desired business model (sales or rental), simulations in terms of the LCCs, and so an optimal product architecture.Research limitations/implicationsIn this article, the term “design” is limited to reliability properties, possible redundancies, component accessibility (maintainability), and levels of monitoring information.Originality/valueThis work is distinguished by the use of a hybrid optimization algorithm (two-level computation) using genetic algorithms. The first level is to identify an optimal design configuration that takes into account the LCC criterion. The second level consists in proposing a dynamic and optimal maintenance plan based on the maintenance-free operating period (MFOP) concept that takes into account certain criteria, such as replacement costs or the reliability of the system.

Study on in-Service Bridge LCC Decision Model Based on Maintenance Management System

2011 ◽  
Vol 255-260 ◽  
pp. 3933-3937
Author(s):  
Yu Meng Wu ◽  
Jun Chang
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Decision Model ◽  
Management Strategies ◽  
Maintenance Management ◽  
Management Decision ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Bridge Maintenance ◽  
Optimal Maintenance

In this paper, decision-making tree and Markov process are used to select maintenance strategies of in-service bridges with the minimum LCC (life-cycle cost). Other costs in life cycle are considered comprehensively when establish the model to find the optimal maintenance strategy. Finally, an example is given to verify the efficiency of the model. The research methodology can provide effective support to bridge maintenance management decision-maker for making management strategies.

Maintenance Optimization: Finding the Best Frequencies of Maintenance Activities

2020 ◽  
Author(s):  
Joseph Cluever ◽  
Thomas Esselman ◽  
Paul Bruck
Keyword(s):  
Genetic Algorithm ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Nuclear Power ◽  
Global Optimum ◽  
Nuclear Industry ◽  
Maintenance Schedule ◽  
Problem Detection ◽  
Maintenance Schedules ◽  
Component Failures

Abstract The nuclear industry has recently been shifting to value-based maintenance in order to keep nuclear power competitive in the power generation market. A key challenge in value-based maintenance is the optimization of a maintenance schedule. With most components having ten to fifteen available maintenances, the complexity of the optimization grows quite quickly. This paper presents a methodology for combining maintenance effectiveness, cost estimates, failure impacts, and overall reliability data to estimate an expected life cycle cost (LCC) for a component. The maintenance types are categorized into three types: monitoring, wear-rate reducing (e.g. oil change), or life-restoring (e.g. refurbishment). Each maintenance type has a different effect on problem detection, degradation rate, and future life expectancy. A Markov model uses the maintenance effects to estimate the distribution of what state of degradation a component is in at a specific time and concurrently, the component failures, maintenance costs, and failure impacts are tallied up in order to provide an expected life cycle cost for a given maintenance schedule. Optimization of the maintenance schedule is performed using the genetic algorithm where multiple maintenance schedules are simultaneously calculated, compared, and evolved in order to find the lowest expected life cycle costs. The genetic algorithm was selected as a suitable optimization algorithm for its ability to find relatively close approximations to the global optimum with relative ease while concurrently being able to handle non-smooth objective functions.

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