Minimizing Preventive Maintenance Costs of An Equipment in Oil and Gas (O&G) Industry

Preventive maintenance is required when there is an increased automation in industry. The more automated that the equipment is, the more components there are that fail and cause the entire piece of equipment to be taken out of service. In Oil and Gas (O&G) industry, many equipment are having their PM scheme set during plant design phase and generally follow recommendation from equipment manufacturer. After years of operation (operation and maintenance phase), the scheme/schedule might not be optimised due to various operating conditions such as operation, maintenance and others. Thus, the objectives of this project are to develop an appropriate model for minimizing preventive maintenance cost and also to apply the model to industrial data together with some recommendations for the optimised PM schedule. The project is initiated by identifying problem and objectives, study on literature review regarding various types of preventive maintenance model, and then come out with a model concept. The model is then applied on a plant data in order to make recommendations on how to minimize PM cost.