Abstract
This paper aims to develop a maintenance policy to support the maintenance decisions of an emergency system that supplies electricity when failure of the primary system occurs in a health facility. An Opportunistic maintenance policy was developed, in which failures are hidden and inspections are performed to detect the state of the system and subsystems. Failure in the system can have negative consequences for the health unit. A multicriteria model that considers cost and availability criteria and preference of the maintenance manager of the health unit was developed.
Highlights
Emergency systems that supply electricity in case of failure of primary system are present in various sectors, such as health facilities, nuclear power plants, airports, subway stations, theaters, events, such as sports games, certain companies, universities, shopping centers, military bases, water treatment and supply stations in large cities, telephony, and database stations.In several of these cases, emergency diesel generators are used, which are triggered when a fault in the main electricity supply occurs
The decision maker has the responsibility of determining the maintenance plan, and great attention is paid to the emergency system
A maintenance policy for an emergency system composed of an emergency diesel generator with hidden failures, in which failure can pose risks to the people who are being attended to or are in the health unit, was developed
Summary
Emergency systems that supply electricity in case of failure of primary system are present in various sectors, such as health facilities, nuclear power plants, airports, subway stations, theaters, events, such as sports games, certain companies, universities, shopping centers, military bases, water treatment and supply stations in large cities, telephony, and database stations. In several of these cases, emergency diesel generators are used, which are triggered when a fault in the main electricity supply occurs. The management of the maintenance of these systems is a complex task for decision makers because there are two factors that complicate decisions: (1) no one knows when system will have to be triggered because the demand for operation is unpredictable and (2) the consequences of system failures, i.e., people and the environment can be placed at risk, and losses besides economic ones can occur.
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