Preventive and corrective maintenance – cost comparison and cost–benefit analysis

Stenström, Christer; Norrbin, Per; Parida, Aditya; Kumar, Uday

doi:10.1080/15732479.2015.1032983

Cited by 92 publications

(41 citation statements)

References 19 publications

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“…Usually, an average ratio of PM cost to CM cost for electrical and mechanical systems is around 0.35 [50]. As the PM cost for fabric components is lower than that for MEP systems due to the complexity of the latter, an average value of 0.25 (mean of the lowest and the highest ratios), which is smaller than the average ratio of MEP maintenance, then is assumed to be a general ratio of PM cost to CM cost for building fabric maintenance in this study [51]. Therefore, the PM cost for fabric components can be determined by: 0.25 × Corrective maintenance cost = Preventive maintenance cost…”

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

“…Moreover, the inspection cost (IC) usually accounts for 80% of the PM cost according to empirical assessment [51]. Therefore the inspection cost of building fabric components can be assumed as follows: 0.8 × Preventive maintenance cost = Inspection cost (8) In order to intuitively validate the feasibility of the schedule and cost planning which is obtained from the management panel based on this workflow design, sensitivity analysis is an appropriate method to achieve this purpose by linking the building fabric maintenance with its sensitive uncertainties such as the limitations of budget, the fluctuations of material prices, the availability of skilled labors and equipment, etc.…”

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

“…For the assessment based on sensitivity analysis, there are several economic benefit indicators including net benefits, internal rate of returns, benefit-cost (B/C) ratios, etc. [51]. In this study, there are two reasons for choosing the B/C ratio as the key indicator for the assessment of the planning.…”

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

“…One is the probability of detection (POD) of potential failure (α ∈ [0,1]) and the other is the potential to functional failure likelihood (β∈[0,1]). The correlation between the B/C ratios and these two parameters can be expressed in the following formula [51]:…”

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

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BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance

Chen

Tang

2019

Automation in Construction

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The operation and maintenance (O&M) is the longest and costliest phase during the entire building lifecycle. In recent decades, with the rapidly increasing costs of new constructions, the effective maintenance has become more important to the existing buildings, particularly to their fabric components, which include both architectural and structural items for maintaining physical characteristics and ensuring the normal performance of the existing building over its lifecycle. However, building maintenance costs are also increasing dramatically and this situation mainly results from the delay of maintenance work due to inefficient maintenance planning for the facility management purpose. The inefficient maintenance planning is caused due to a lack of effective methods and techniques for predicting the uncertainties, including schedule and costs during the maintenance stage. Therefore, this paper proposes an innovative management workflow design which integrates Building Information Modelling (BIM) with digital programming to implement an efficient schedule and cost planning of building fabric maintenance. Through this BIM-based workflow design, the knowledge gap between maintenance theories and practical maintenance management can be narrowed by a consistent and sustainable building information flow, which is highly linked with the design and construction phase. This study contributes to integrating the traditional maintenance management with digital technologies to improve the management performance and maintenance efficiency of the O&M phase in the future.

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Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

Section: Fig2 Methodology Of the Studymentioning

confidence: 99%

See 2 more Smart Citations

BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance

Chen

Tang

2019

Automation in Construction

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“…Maintenance can represent a significant portion of the cost in asset intensive organizations, as breakdowns have an impact on the capacity, quality and cost of operation [21]. However, the formulation of a maintenance strategy depends on a number of factors, including the cost of down time, reliability characteristics and redundancy of assets.…”

Section: Science and Technologymentioning

confidence: 99%

Preventive maintenance models – higher operational reliability

Legát

Mošna

Aleš

et al. 2016

EiN

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Article citation info: Introduction and literature surveyMany maintenance strategies, policies and methods have been developed, which are aimed at making maintenance cheaper and more effective. Such programs have the minimization of costs, downtime and losses due to failure of critical objects of the equipment as their main objective. Cost minimization improves the effectiveness and profitability of the organization [1,2,9,12,13,20].For creation of the maintenance policies, well described data mining input is very important. [4].In recent years, useful models of preventive and predictive maintenance optimization with different complexity and applicability have been further developed.In the paper, [5] the authors proposed a quasi-periodic imperfect preventive maintenance policy. Finally, a real case study of preventive maintenance on Chinese diesel locomotives is examined to illustrate the proposed maintenance policy.The paper [6] proposes an approach in which preventive and failure replacement costs as well as inspection cost are taken into account to determine the optimal replacement policy and an age-based inspection scheme, such that the total average costs of replacements and inspections is minimized.Determination of the preventive effect of optimal replacement policies in the paper [8] is based on aging intensity and the cost ratio of failure and preventive replacements. One of its conclusions is that not every preventive maintenance is fully effective and a policy of, "run to failure" can be more effective (note: in some cases).The proposed model in the paper [10] takes into consideration the stochastic nature of equipment failures. The output from the model is a cost distribution against the time from which the minimum cost may be found for a particular period and this period is defined as the optimum lifespan of the machine part.The paper [11] considers periodic preventive maintenance policies for a deteriorating repairable system. On each failure, the system is repaired and, at the planned times, it is periodically maintained to improve its performance reliability. Most periodic preventive maintenance (PM) models for repairable systems have been studied assuming that the failure process between two PMs follows the nonhomogeneous Poisson process (NHPP), implying the minimal repair on each failure.The paper [14] regarding warranty policy considering three maintenance options for products with multiple failure modes also showed the broad usability of the Weibull distribution. This fact supports the decision of the authors to also use the Weibull function.The paper [15] presents a new mathematical function to model an improvement based on the ratio of maintenance and repair costs, and demonstrate how it outperforms fixed improvement factor models by analyzing the effectiveness in terms of cost and reliability of a system. Legát V, MošnA F, ALeš Z, JurčA V. Preventive maintenance models -higher operational reliability. eksploatacja i niezawodnosc - Maintenance and reliability 2017; 19 (1): 134-141, http://dx...

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Analysis in the time-frequency domain of different depths of a crack located in a change of section of a shaft

Zamorano

Gómez

Castejón

et al. 2019

Advances in Mechanism and Machine Science

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Preventive and corrective maintenance – cost comparison and cost–benefit analysis

Cited by 92 publications

References 19 publications

BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance

BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance

Preventive maintenance models – higher operational reliability

Analysis in the time-frequency domain of different depths of a crack located in a change of section of a shaft

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