scholarly journals Comparison of Predicted Maintenance Costs and Actual Maintenance Cost of Military Facilities - Focused on BTL Project -

2017 ◽  
Vol 17 (5) ◽  
pp. 473-481
Author(s):  
Don-Soo Lee ◽  
Gwang-Hee Kim
Keyword(s):  
Maintenance Cost ◽  
Maintenance Costs ◽  
Military Facilities

scholarly journals Probabilistic Maintenance Cost Analysis for Aged Multi-Family Housing

2019 ◽  
Vol 11 (7) ◽  
pp. 1843 ◽  
Author(s):  
Moonsun Park ◽  
Nahyun Kwon ◽  
Joosung Lee ◽  
Sanghyo Lee ◽  
Yonghan Ahn
Keyword(s):  
Cost Analysis ◽  
Preventive Maintenance ◽  
Natural Aging ◽  
Sustainable Construction ◽  
Maintenance Cost ◽  
Expert Interviews ◽  
Planning Tool ◽  
Construction Planning ◽  
Maintenance Costs ◽  
Family Housing

To realize sustainable construction, planning for future maintenance costs is essential. In the case of multi-family housing, various maintenance issues can be expected to appear starting 10 years after completion. Therefore, preventive maintenance must be implemented in a systematic manner to cope with the problems caused by the natural aging of multi-family dwellings and to maintain a sustainable level of quality for the properties. In this study, maintenance costs were investigated for 224 multi-family housing units aged 20 years or older in Seoul, South Korea. Using Monte Carlo simulation in conjunction with expert interviews, a probabilistic maintenance cost analysis was conducted to analyze and estimate the variability in maintenance costs. The findings of the study propose that the use of probabilistic maintenance cost analysis can be developed into a useful planning tool for determining reasonable future maintenance costs in sustainable construction.

scholarly journals Maintenance Cost Estimation in PSCI Girder Bridges Using Updating Probabilistic Deterioration Model

2019 ◽  
Vol 11 (23) ◽  
pp. 6593 ◽  
Author(s):  
Jin Hyuk Lee ◽  
Yangrok Choi ◽  
Hojune Ann ◽  
Sung Yeol Jin ◽  
Seung-Jung Lee ◽  
...  
Keyword(s):  
Cost Estimation ◽  
Particle Filtering ◽  
Structural Damage ◽  
Maintenance Cost ◽  
Maintenance Costs ◽  
Deterioration Model ◽  
Girder Bridges ◽  
Current State ◽  
Regression Parameters ◽  
Probabilistic Values

A deterioration model plays an important role to predict the valid total maintenance cost for sustainable maintenance of bridges. In the current state-of-the-art, the deterioration model has regression parameters as a probabilistic process by an initially determined mean and standard deviation, called an existing model. However, the existing model has difficulty to predict maintenance costs accurately, because it cannot reflect an information based on structural damage at an operational stage. In this research, updating the probabilistic deterioration model is presented for the prediction of pre-stressed concrete I-type (PSCI) girder bridges using a particle filtering technique which is an advanced Bayesian updating method based on big data analysis. The method enables predicting maintenance cost fitted in the current structural status, which includes the recent information by inspection with bridge-monitoring. The method is adapted in the Mokdo Bridge which is currently being used for evaluating the efficiency of maintenance cost by effects on updated probabilistic values with two different scenarios. As the result, it is shown that the proposed method is effective in predicting maintenance costs.

scholarly journals Analysis of Contracts to Build Energy Infrastructures to Optimize the OPEX

2020 ◽  
Vol 12 (17) ◽  
pp. 7232
Author(s):  
Jesus Javier Losada-Maseda ◽  
Laura Castro-Santos ◽  
Manuel Ángel Graña-López ◽  
Ana Isabel García-Diez ◽  
Almudena Filgueira-Vizoso
Keyword(s):  
Energy Sector ◽  
Maintenance Cost ◽  
Maintenance Costs ◽  
Execution Costs ◽  
Operation And Maintenance ◽  
Maximum Profit ◽  
Hydroelectric Plants ◽  
Operation And Maintenance Cost ◽  
Contractual Agreement ◽  
Energy Infrastructures

The employer (owner) of the project wants to obtain the maximum profit for the money invested and the consultant (contractor) will try to give less for that money. The regulation of their relationship is based on the contractual agreement, which in the energy sector is mainly based on the engineering, procurement, and construction (EPC) model. The objective of this work was to evaluate which factors should be included in the drafting of contracts, to minimize problems between the parties, and thus minimize execution costs and optimize operation and maintenance costs. Information and data on the integration of operability and maintainability criteria in contracts for 158 projects, with a total contract value of close to €40,000M, were analyzed. Several of those projects corresponded to wind, solar, and hydroelectric plants. The information collected the perception of the agents involved, and was classified according to the experience of the agents consulted in the operation and maintenance areas. Finally, the proposed criteria were prioritized. In general, the owner is willing to introduce these criteria in his contracts if they reduce the operation and maintenance cost by around 1–5%, while the contractor is interested in increasing his probability to be selected by 1–3%.

scholarly journals Optimizing preventive maintenance policy: A data-driven application for a light rail braking system

2017 ◽  
Vol 231 (5) ◽  
pp. 534-545 ◽  
Author(s):  
Francesco Corman ◽  
Sander Kraijema ◽  
Milinko Godjevac ◽  
Gabriel Lodewijks
Keyword(s):  
Preventive Maintenance ◽  
Data Driven ◽  
Sequential Optimization ◽  
Maintenance Cost ◽  
Light Rail ◽  
Maintenance Policy ◽  
Maintenance Costs ◽  
Braking System ◽  
Optimal Maintenance Policy ◽  
Preventive Maintenance Policy

This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventive maintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions.

scholarly journals Use of SCADA Data for Failure Detection in Wind Turbines

2011 ◽  
Author(s):  
Kyusung Kim ◽  
Girija Parthasarathy ◽  
Onder Uluyol ◽  
Wendy Foslien ◽  
Shuangwen Sheng ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Clustering Algorithms ◽  
Failure Detection ◽  
Cost Effective ◽  
Diagnostic Techniques ◽  
Maintenance Cost ◽  
Maintenance Costs ◽  
Detection Algorithms ◽  
And Performance

High operations and maintenance costs for wind turbines reduce their overall cost effectiveness. One of the biggest drivers of maintenance cost is unscheduled maintenance due to unexpected failures. Continuous monitoring of wind turbine health using automated failure detection algorithms can improve turbine reliability and reduce maintenance costs by detecting failures before they reach a catastrophic stage and by eliminating unnecessary scheduled maintenance. A SCADA (Supervisory Control and Data Acquisition System) -data based condition monitoring system uses data already collected at the wind turbine controller. It is a cost-effective way to monitor wind turbines for early warning of failures and performance issues. In this paper, we describe our exploration of existing wind turbine SCADA data for development of fault detection and diagnostic techniques for wind turbines. We used a number of measurements to develop anomaly detection algorithms and investigated classification techniques using clustering algorithms and principal components analysis for capturing fault signatures. Anomalous signatures due to a reported gearbox failure are identified from a set of original measurements including rotor speeds and produced power.

scholarly journals USULAN PERAWATAN MESIN SECARA PREVENTIF DENGAN PENDEKATAN MODULARISASI DESAIN PADA PT. BAI

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Amal Witonohadi ◽  
Tiena Gustina Amran ◽  
Niken Herawati
Keyword(s):  
Preventive Maintenance ◽  
Design Method ◽  
Maintenance Cost ◽  
Treatment Schedule ◽  
Time To Failure ◽  
Large Engine ◽  
Maintenance Costs ◽  
Maintenance Schedule ◽  
Mean Time ◽  
Method Approach

<p>PT. BAI produce polymer filter system components, such as the spin pack, candle filters, leaf<br />discs, gaskets and so forth. Problems that occur in the form of decreased reliability of machine<br />downtime resulting in large engine stalled, causing the production process, the company should have<br />a preventive maintenance schedule in accordance with the conditions of machines on the production<br />floor to reduce machine downtime by using modularity design method approach to reduce<br />maintenance costs. Level of maintenance reliability measured using Overall Equipment Effectiveness<br />(OEE), whereas treatment schedule used to obtain parameter Mean Time to Failure (MTTF) and<br />Mean Time to Repair (MTTR). Maintenance cost calculator is then performed with corrective<br />maintenance, preventive maintenance and preventive maintenance with design modularity. By using<br />modularity design companies can combine several components into a module to do the replacement<br />components simultaneously causing maintenance costs to be as much as 29.1% less than the company<br />doing the corrective maintenance activities.</p>

scholarly journals STATE-ORIENTED MAINTENANCE STRATEGY FOR DETERIORATING SEGMENTAL LINING OF TUNNEL

2018 ◽  
Vol 24 (6) ◽  
pp. 469-480 ◽  
Author(s):  
Qing Ai ◽  
Yong Yuan
Keyword(s):  
High Performance ◽  
Principal Part ◽  
Tunnel Lining ◽  
The Other ◽  
Limited Resources ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Maintenance Costs ◽  
Degradation Rates ◽  
Service State

The lining of tunnel is the principal part in ensuring its usage for transportation or utilities. Maintenance during operation is the way to keep structure in the state of high performance. To consider the efficiency of maintenance within limited resources (maintenance cost), state-oriented maintenance (SOM) approach is proposed. The SOM approach takes service state of the tunnel lining as a levelled target which should be maintained by different degrees of repairing measures. The evolution of service state of tunnel lining is modelled as a non-stationary Gamma process in this investigation, as this process can characteristic the variations of degradation rates. Two cases of numerical analysis with SOM approach give their lifetime maintenance costs. Case one (MS-1) sets SOM strategy with two-levelled service state. The other case (MS-2) adopts SOM strategy with multi-levelled service state. The numerical results demonstrate that the later one would reduce maintenance cost during the whole service life of tunnel lining.

scholarly journals Evaluasi Manajemen Perawatan dengan Metode Reliability Centered Maintenance (RCM) II pada Mesin Cane Cutter 1 dan 2 di Stasiun Gilingan PG Meritjan - Kediri

Rekayasa ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 99
Author(s):  
Cahyo Purnomo Prasetyo
Keyword(s):  
Maintenance Cost ◽  
Repair Cost ◽  
Maintenance Policy ◽  
Work Safety ◽  
Maintenance Costs ◽  
Reliability Centered Maintenance ◽  
Optimal Maintenance ◽  
Critical Components ◽  
Optimal Maintenance Policy ◽  
Production Target

<p>Penelitian ini bertujuan untuk menentukan kebijakan perawatan optimal yang dapat mengurangi biaya perbaikan (repair cost) dan biaya konsekwensi operasional (operational consequence cost). Metode yang diterapkan pada penelitian ini adalah Reliability Centered Maintenance (RCM) II. Penelitian ini difokuskan pada mesin Cane Cutter 1 dan 2 dengan pertimbangan beberapa aspek yaitu : pengaruh kegagalan terhadap pencapaian target produksi, resiko keselamatan kerja dan biaya perawatan yang akan ditimbulkan. Dari hasil penelitian dapat diketahui bahwa komponen kritis pada mesin Cane Cutter 1 dan 2 adalah : Pisau dan Baut Pisau. Perawatan yang dilakukan untuk mengantisipasi dan mengatasi kegagalan yang terjadi pada komponen mesin tersebut adalah proactive task yang meliputi : scheduled restoration task dan scheduled discard task. Rata-rata penurunan biaya perawatan total yang didapatkan dengan mengurangkan ‘biaya total pada interval perawatan awal’ dan ‘biaya total pada interval perawatan optimal’ adalah 14,82 %.</p><p>Kata Kunci: cane cutter, downtime, pabrik gula.</p><p><strong> </strong></p><p><strong>ABSTRACT</strong></p><p><em>This research aims to determine the optimal maintenance policy which could reduce repair cost and operational consequence cost. The methods which applied in this research is Reliability Centered Maintenance (RCM) II. This research focuses on Cane Cutter 1 and 2 machines by considering several aspects, such as and effect of any failure on production target achievement, work safety risk and maintenance cost which might be caused by the critical condition. The result showed that some critical components at the Cane Cutter 1 and 2 machines were : Blade and Blade Bolt. The maintenance which could be done to anticipate and deal with any failure occurring in the machine components was called proactive task comprising : scheduled restoration task and scheduled discard task. The average reduction in total maintenance costs which was obtained by subtracting ‘total costs at initial maintenance interval’ and ‘total costs at optimal maintenance interval’ amounted to 14,82 %.</em></p><p><em>Keywords: cane cutter, downtime, sugar factory</em></p>

Assessing Maintenance Cost for Design or Re-Design of Complex Machinery

2002 ◽  
Author(s):  
Alley Butler ◽  
Dan Baldwin ◽  
Mohit Kashyap
Keyword(s):  
Cost Model ◽  
Open Architecture ◽  
Maintenance Cost ◽  
Preventative Maintenance ◽  
Maintenance Costs ◽  
Time Value Of Money ◽  
Turbine Generators ◽  
System Data ◽  
The Cost

Maintenance costs are often significant for complex machinery, and organizations that are able to accurately assess maintenance costs for complex machinery can design or re-design the machinery to reduce maintenance expenses. This paper provides a review of relevant reliability theory to provide a background for model construction. The maintenance cost model is then developed from a probabilistic perspective, with a hierarchical breakdown of the complex machinery, and with consideration of the time value of money. A framework for the cost model is offered in which the cost of repair and preventative maintenance is considered along with the downtime costs for repair or preventative maintenance. As a proof of concept, maintenance costs for Ship Service Gas Turbine Generators (SSGTG) are developed from the Navy’s OARS (Open Architecture Retrieval System) data. Problems with data quality and heuristic adjustment of the data are discussed, recognizing that work is ongoing to improve the quality of the Navy’s maintenance data. Cognition Corporation’s Cost Advantage software is used for the modeling effort, providing an ability to focus on maintenance cost at any level of detail and to obtain cost roll up, as needed. Conclusions are drawn with respect to the modeling of maintenance costs for complex machinery.

scholarly journals Effectivness Of The Failure Rate On Maintenance Costs Of The City Buses

2015 ◽  
Vol 35 (1) ◽  
pp. 99-108
Author(s):  
Piotr Ignaciuk ◽  
Joanna Rymarz ◽  
Andrzej Niewczas
Keyword(s):  
Failure Rate ◽  
Cost Comparison ◽  
Maintenance Cost ◽  
Calendar Time ◽  
Maintenance Costs ◽  
Failure Index ◽  
Repair Costs ◽  
Maintenance Service ◽  
The City

Abstract The purpose of this paper was to present a failure rate and maintenance cost comparison for two types of city transport buses. The paper presents in detail a case study of well known bus brands used at Municipal Transport Company in Lublin. A failure index of all functional and constructional systems of the vehicles and their technical availability with regards to calendar time was determined. The paper also presents analysis of the factors related to maintenance costs of buses, including costs of fluids, repair costs and maintenance service. It has been demonstrated, that both analyzed buses generate similar maintenance costs, while their failures and technical availability differ significantly in operational practice. These differences are particularly evident in relation to the cumulative costs of repairs.

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