RAMS+C informed decision-making with application to multi-objective optimization of technical specifications and maintenance using genetic algorithms

• Published in: Reliability engineering & system safety 2005, Vol.87 (1), p.65-75
• Main Authors: Martorell, S., Villanueva, J.F., Carlos, S., Nebot, Y., Sánchez, A., Pitarch, J.L., Serradell, V.
• Format: Article
• Language: English
• Subjects: Applied sciences; Availability; Cost; Electric power plants; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Maintainability and safety (RAMS); Multi-objective optimization; Multiple criteria decision-making; Nuclear power plants; Operational research and scientific management; Operational research. Management science; Reliability; Reliability theory. Replacement problems; Testing and maintenance
• ISSN: 0951-8320; 1879-0836
• DOI: 10.1016/j.ress.2004.04.009

The role of technical specifications and maintenance (TSM) activities at nuclear power plants (NPP) aims to increase reliability, availability and maintainability (RAM) of Safety-Related Equipment, which, in turn, must yield to an improved level of plant safety. However, more resources (e.g. costs, task force, etc.) have to be assigned in above areas to achieve better scores in reliability, availability, maintainability and safety (RAMS). Current situation at NPP shows different programs implemented at the plant that aim to the improvement of particular TSM-related parameters where the decision-making process is based on the assessment of the impact of the change proposed on a subgroup of RAMS+C attributes. This paper briefly reviews the role of TSM and two main groups of improvement programs at NPP, which suggest the convenience of considering the approach proposed in this paper for the Integrated Multi-Criteria Decision-Making on changes to TSM-related parameters based on RAMS+C criteria as a whole, as it can be seem as a decision-making process more consistent with the role and synergic effects of TSM and the objectives and goals of current improvement programs at NPP. The case of application to the Emergency Diesel Generator system demonstrates the viability and significance of the proposed approach for the Multi-objective Optimization of TSM-related parameters using a Genetic Algorithm.