The benefit(s) of conducting risk analysis

Risk analysis is one of most valuable methods that could be used to establish an appropriate maintenance program from the scratch or to improve the current one.


Moreover the conducting of risk analysis enables engineers and managers to make the correct decision based on the following:

1. Identifying all systems and sub-systems that are in place.

2. Identifying most critical system, sub-system and components that have most problem(s).

3. Specifying and classifying failure’s type to be able to identify chronic and recurring failures.

4. Identifying failures effect such as internal, external, economical, safety, operational, and environmental.

5. Identifying the reason(s) that lies behind it to be able to find out the root cause(s) and eliminate it.

6. Identifying if there is any need for outsourcing of a certain maintenance activity in case maintenance department cannot deliver it due to lack of resources, skills, tools etc. On the other hand, an evaluation regarding what alternative should be followed must be conducted that is based on company’s strategic goals and aspects that mentioned in point 4 in order to assure that the project is profitable.

7. Conducting an economical calculation that exhibits the total cost due to failures”Assuming that all data required is available” otherwise estimation could be done.

Furthermore, if the company already has a maintenance program but it doesn’t give the desired function, then the current maintenance program should be reviewed and corrected by the aid of the data gathered throughout the analysis. A measurement should be carried out when implementing the new planning whose result can be used after a specific time from the start point of the project. Firstly, to ensure that the planning is on the right way and secondly to be able to make any adjustment at good time if it needs.

However it’s maybe easier to establish a maintenance program from the scratch especially if there is a sufficient support from the management and the front line with respect to data availability.



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