Maintenance Optimization Model

Source: Garg and Deshmukh, (2006)

 Maintenance Optimization Models

In general, maintenance optimization models cover four aspects accordin to Garg and Deshmukh, (2006)

(1) A description of a technical system, its function and importance;

(2) A modeling of the deterioration of the system in time and possible consequences for this system;

(3) A description of the available information about the system and actions open to management; and

(4) An objective function and an optimization technique which helps in finding the Best balance

 Maintenance Techniques

These techniques have been further sub classified in to ten areas: (1) Preventive maintenance (PM), (2) Condition-based maintenance, (3) TPM, (4) Computerized maintenance management systems

(2017) when they studied the effect on public hospital building, effectiveness of management in maintenance aspect holds the key element in influencing the performance of overall maintenance management. In this case the most complicated field was the need of public hospital building for an effective maintenance management. Improper building maintenance management adopted by the organization significantly will interrupt the overall operation of the building. Therefore, this paper is aim to identifying the key performance indicator (KPI) of effectiveness of maintenance management for the public hospital building. A total of 32 set of questionnaires were distributed to the maintenance manager for each hospital by using self-administration strategy. Overall, the result of descriptive analysis shows that the ten factors of effectiveness of maintenance management are accepted as KPI. The research studies indicate that the most significant factor of effectiveness of maintenance management is task planning and scheduling. Whereas the less significant factor identified as maintenance approach. The study also explores not only the need of a well-structured management planning for the maintenance works but also embrace the same strategy of maintenance approach in order to achieved better performance of maintenance

According to El-Haram and Horner (2002) they studied factors affecting housing maintenance cost in Scotland. The unit of analysis they targeted was local authority and housing associations. They categorized the factors into five groups: building characteristics, political factors, tenant factors, maintenance factors, and other factors. Their study also explored that improper use of the property and high expectations of tenants were the most important factors affecting housing maintenance. As mentioned by Faremi and Adenuga (2012), they studied factors affecting maintenance management in the banking industry in Lagos state, Nigeria. Based on that, they evaluated the operational state of bank buildings and the practices of maintenance management. Their unit of analysis targeted maintenance officers and random users, leading to the exploration that the attitude of users and misuses of facilities were the most significant factors affecting bank building maintenance ranked by maintenance officers. As ranked by this study, the highest factor in charge of poor maintenance management by users was the lack of discernible maintenance culture in the country. Their study revealed that bank buildings were in a good condition. In addition of the studies above, Ali et al. (2010) studied factors affecting housing maintenance cost in Malaysia. The unit of analysis they targeted was building managers and