Title :
A non-linear programming approach to maintenance budgeting for multi-component systems
Author :
Ferreira, R.S. ; Barroso, L.A. ; Feinstein, C.D. ; Borges, Carmen L. T.
Author_Institution :
PSR, Rio de Janeiro, Brazil
Abstract :
Maintenance budgeting refers to optimally allocating monetary resources so as to minimize the sum of (deterministic) preventive maintenance and (stochastic) corrective maintenance and unavailability costs. We propose a non-linear programming formulation for this problem, for a complex, multi-component system. Results of a case study for a combined cycle thermal power plant indicate the applicability of the proposed approach.
Keywords :
Markov processes; combined cycle power stations; nonlinear programming; preventive maintenance; resource allocation; Markov process; combined cycle thermal power plant; complex multicomponent systems; deterministic preventive maintenance; maintenance budgeting; monetary resource allocation; nonlinear programming approach; stochastic corrective maintenance; Cost function; Equations; Mathematical model; Preventive maintenance; Programming; Turbines; Maintenance budgeting; Markov process; non-linear programming; reliability;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672767
