Markov Process for Deterioration Modeling and Asset Management of Community Buildings

Mohseni, H; Setunge, Sujeeva; Zhang, Kevin; Wakefield, Ron

doi:10.1061/(asce)co.1943-7862.0001272

Cited by 22 publications

(11 citation statements)

References 20 publications

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“…Previous research shows a tendency on integration of sensory systems and database management systems (DBMS) to support facility management activities, based on detection of environmental conditions, room occupancy data, and/or functioning status of plants. Nevertheless, facility management only constitutes a branch, jointly representing real estate market with property management [6,7] and asset management [8] (Figure 1). is contained in [2] and defined as "an integrated approach for operating, maintaining, improving and adapting building and infrastructure assets to support the primary objectives of occupants, owners and facility managers".…”

Section: Introductionmentioning

confidence: 99%

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Mirarchi

Pavan

Marco

et al. 2018

IJGI

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The integration of facility management and building information modelling (BIM) is an innovative and critical undertaking process to support facility maintenance and management. Even though recent research has proposed various methods and performed an increasing number of case studies, there are still issues of communication processes to be addressed. This paper presents a theoretical framework for digital systems integration of virtual models and smart technologies. Based on the comprehensive analysis of existing technologies for indoor localization, a new workflow is defined and designed, and it is utilized in a practical case study to test the model performance. In the new workflow, a facility management supporting platform is proposed and characterized, featuring indoor positioning systems to allow end users to send geo-referenced reports to central virtual models. In addition, system requirements, information technology (IT) architecture and application procedures are presented. Results show that the integration of end users in the maintenance processes through smart and easy tools can overcome the existing limits of barcode systems and building management systems for failure localization. The proposed framework offers several advantages. First, it allows the identification of every element of an asset including wide physical building elements (walls, floors, etc.) without requiring a prior mapping. Second, the entire cycle of maintenance activities is managed through a unique integrated system including the territorial dimension. Third, data are collected in a standard structure for future uses. Furthermore, the integration of the process in a centralized BIM-GIS (geographical information system) information management system admit a scalable representation of the information supporting facility management processes in terms of assets and supply chain management and monitoring from a spatial perspective.

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Section: Introductionmentioning

confidence: 99%

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Mirarchi

Pavan

Marco

et al. 2018

IJGI

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“…Building reliable maintenance can be started by establishing a deterioration model to govern decision-making in maintenance management [6,23,25]. Building maintenance actions are complicated by different deterioration rates among various building's functions and locations, as well as coastal conditions, which contribute to more rapid deterioration [23].…”

Section: Prior Studiesmentioning

confidence: 99%

“…Building maintenance is widely acknowledged as a critical issue throughout the building management life cycle to prevent building deterioration [1,2] and to ensure building safety and comfort [3]. Several challenging issues for building maintenance topics, such as maintenance budget [4], demand for safety and serviceability from the organization or user [5], and difficulties in assessing and predicting the future of the facility condition [6], have been receiving great attention in recent years. Especially from the maintenance budget perspective, over a building's life cycle, operation and maintenance costs can account for 50-80% of the total cost [4].…”

Section: Introductionmentioning

confidence: 99%

Preventive Maintenance Model for National School Buildings in Indonesia Using a Constraint Programming Approach

Liu

Arifin

2021

Sustainability

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The Indonesian government needs to maintain around 231,000 school buildings in active use. Such a portfolio of buildings given the diversity of locations, limited maintenance budget, and deterioration rates varied by different building conditions presents many challenges to effective maintenance planning. Many of those schools had been reported to be aging and in a degenerated condition. However, contemporary practice for the planning method of Indonesia’s building maintenance program applies reactive maintenance strategies with a single linear deterioration rate. Such methodology cannot properly guarantee the sustainability of those school buildings. Therefore, this study attempts to examine a different approach to Indonesia’s building maintenance planning by adopting a preventive maintenance strategy using the deterioration rate model proved by historical data from a previous study. This study develops an optimization model with varied deterioration rates and considers the budget limitation, by utilizing a Constraint Programming (CP) approach. The proposed model achieves the minimum maintenance cost for a real case of 41 school buildings under different deterioration rates to ensure adequate building conditions and maintain expected levels of service. Finally, research analysis also proves that this new preventive maintenance model has potential to deliver superior capability for assisting building maintenance decisions in Indonesia’s government.

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“…In a building deterioration prediction context, [28] proposed a Markovian model to estimate the deterioration experienced in community buildings in Australia. They calibrated the transition probability matrices utilized as part of their model by using a nonlinear optimization to minimize the difference between the expected and observed values of building components' condition levels.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In general, according to [28], a Markov chain is a stochastic process allowing for the observation of preset variables at certain points in time, permitting the monitoring of the change in the system states from one time to another. The probability P of a system transitioning from one state m to another state n should conform to the following two conditions:…”

Section: Markovian Deterioration Prediction Modelmentioning

confidence: 99%

A Hybrid Genetic Algorithm-Based Fuzzy Markovian Model for the Deterioration Modeling of Healthcare Facilities

Ahmed

Zayed

2020

Algorithms

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Healthcare facilities are constantly deteriorating due to tight budgets allocated to the upkeep of building assets. This entails the need for improved deterioration modeling of such buildings in order to enforce a predictive maintenance approach that decreases the unexpected occurrence of failures and the corresponding downtime elapsed to repair or replace the faulty asset components. Currently, hospitals utilize subjective deterioration prediction methodologies that mostly rely on age as the sole indicator of degradation to forecast the useful lives of the building components. Thus, this paper aims at formulating a more efficient stochastic deterioration prediction model that integrates the latest observed condition into the forecasting procedure to overcome the subjectivity and uncertainties associated with the currently employed methods. This is achieved by means of developing a hybrid genetic algorithm-based fuzzy Markovian model that simulates the deterioration process given the scarcity of available data demonstrating the condition assessment and evaluation for such critical facilities. A nonhomogeneous transition probability matrix (TPM) based on fuzzy membership functions representing the condition, age and relative deterioration rate of the hospital systems is utilized to address the inherited uncertainties. The TPM is further calibrated by means of a genetic algorithm to circumvent the drawbacks of the expert-based models. A sensitivity analysis was carried out to analyze the possible changes in the output resulting from predefined modifications to the input parameters in order to ensure the robustness of the model. The performance of the deterioration prediction model developed is then validated through a comparison with a state-of-art stochastic model in contrast to real hospital datasets, and the results obtained from the developed model significantly outperformed the long-established Weibull distribution-based deterioration prediction methodology with mean absolute errors of 1.405 and 9.852, respectively. Therefore, the developed model is expected to assist decision-makers in creating more efficient maintenance programs as well as more data-driven capital renewal plans.

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Markov Process for Deterioration Modeling and Asset Management of Community Buildings

Cited by 22 publications

References 20 publications

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Preventive Maintenance Model for National School Buildings in Indonesia Using a Constraint Programming Approach

A Hybrid Genetic Algorithm-Based Fuzzy Markovian Model for the Deterioration Modeling of Healthcare Facilities

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