Building Maintenance Prioritization Using Programming Model
Gunjalli Gowthami1, Muthu D2, Venkata Subramaniam C3
1Gunjalli Gowthami, Post Graduate Student, Department of Civil Engineering, SASTRA Deemed to Be University, Thanjavur (Tamilnadu), India.
2Muthu D, Assistant Professor, Department of Civil Engineering, SASTRA Deemed to Be University, Thnjavur (Tamilnadu), India.
3Venkata Subramaniam C, Associate Professor, Department of Civil Engineering, SASTRA Deemed to Be University, Thnjavur (Tamilnadu), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 739-742 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5619058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Buildings are the assets constructed to serve the activities of the users. Naturally along with its life cycle buildings are bound to deteriorate. In order to have a sustainable performance of the building, proper maintenance is to be carried out. Condition-based maintenance is considered as an effective approach over time-based maintenance because of its ability in minimization of total maintenance cost. The absence of building maintenance decision-making tool and the limited budget allocation are some of the factors causing the unmanaged maintenance activities. However, it is nearly not possible to manually monitor a large number of buildings and to make decisions, without a supporting decision-making tool. The study aims to develop a programming model for building maintenance prioritization. Java program is developed to execute the model. The condition of the building and rate of deterioration are considered as basic parameters in developing the model. There are three strategies for maintenance provided, Light repair, Rehabilitation and Renovation, having a different level of impact on the condition level of the building. A case study is conducted to implement the model involving 5 buildings having different condition level over a plan period of 10 years. The result suggests the year of maintenance and a cost-effective strategy for each building. It supports the decision makers in forecasting the budget requirement for each year and enables effective decision making. It supports in having an overall minimization of cost of maintenance because the strategy is applied as soon as the building reaches its minimum acceptable limit.
Keyword: Building maintenance, Condition-based maintenance, Decision-making tool, condition-index.
Scope of the Article: Building and Environmental Acoustics