Predictive building maintenance cost for high rise residential Building in Shah Alam

This research aims to explore and determine the factors that affect predictive building maintenance costs in strata housing, specifically in the context of Shah Alam. The study addresses a significant issue faced by property managers: managing long-term maintenance costs effectively. This problem is critical as maintenance costs can significantly impact the financial sustainability and operational efficiency of property management. The research employs a qualitative methodology, utilizing in-depth interviews with three experts in the field of property management. These semi-structured interviews allow for comprehensive data collection on the factors influencing maintenance costs. The primary data gathered from these interviews are complemented by secondary data from government reports, academic journals, and industry publications to provide a robust analysis. The methodology involves a systematic approach starting with the identification of the research problem, followed by a detailed literature review, and the establishment of research objectives. Data collection methods include interviews with property management professionals and a thematic analysis of the interview transcripts to identify recurring themes and significant factors affecting maintenance costs. These factors include the age, condition, height, and size of the building, as well as the quality of materials used and the complexity of the building design. For instance, older buildings often require more maintenance due to wear and tear, and buildings with more complex designs can incur higher maintenance costs due to their intricate structures. Effective management practices also play a crucial role in controlling maintenance costs. The study found that the use of high-quality materials and proactive maintenance strategies, such as predictive maintenance, can significantly reduce long-term costs. Predictive maintenance involves analyzing past maintenance reports and predicting potential failures, allowing property managers to allocate budgets more efficiently and make timely interventions to prevent more expensive repairs or replacements. Budget considerations are another critical factor. Inadequate funding and poor budget management can impede successful maintenance efforts. The study emphasizes the need for sufficient and well-managed budgets to ensure essential maintenance tasks are completed and to prepare for upcoming expenses. Political and policy factors also impact maintenance costs. Changes in regulations or the implementation of new safety standards can lead to increased maintenance tasks or enhancements to existing infrastructure. The significant findings of this research provide valuable insights for property managers. By focusing on the identified factors, implementing proactive maintenance strategies, and ensuring effective budget management, property managers can achieve more sustainable and cost-effective maintenance results. In conclusion, this research successfully identifies the critical factors affecting predictive building maintenance costs in strata housing and provides practical recommendations for managing these costs.