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An optimal preventive maintenance policy of parallel-series systems

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Języki publikacji
EN
Abstrakty
EN
This paper presents an algorithm to solve the problem of maintenance management of a two state parallel-series system based on preventive maintenance over the different system components. It is assumed that all components of the system exhibit Weibull hazard function and constant repair rate and that preventive maintenance would bring the system to the as good as new condition. The algorithm calculates the interval of time between preventive maintenance tasks for each component, minimizing the costs, and in such a way that the total downtime, in a certain period of time, does not exceed a predetermined value. It is presented an industrial case study where the algorithm is applied.
Słowa kluczowe
Rocznik
Strony
29--34
Opis fizyczny
Bibliogr. 13 poz., tab.
Twórcy
autor
  • Instituto Politécnico de Setúbal, Setúbal, Portugal
  • Manutenção Industrial Informatizada e Tecnologia, Lisboa, Portugal
autor
  • Manutenção Industrial Informatizada e Tecnologia, Lisboa, Portugal
Bibliografia
  • [1] Bris, R., Chãtelet, E. & Yalaoui, F. (2003). New method to minimize the preventive maintenance cost of series-parallel systems. Reliability Engineering and System Safety 82, 247-255.
  • [2] Certa, A., Enea, M., Galante, G. & Lupo, T. (2012). A multi-objective approach to optimize a periodic maintenance policy. International Journal of Reliability, Quality and Safety Engineering Vol.19, No 6, 1240002 (16 pages).
  • [3] Duarte, J.C., Craveiro, J.T. & Trigo, T. (2006). Optimization of the preventive maintenance plan of a series components system. International Journal of Pressure Vessels and Piping 83, 244-248.
  • [4] Duarte, J.C. & Soares, C.G. (2007). Optimization of the preventive maintenance plan of a series components system with Weibull hazard function. Proc. of SSARS 2007 – European Safety and Reliability Conference, Tri City, Poland.
  • [5] Galante, G. & Passannanti, G. (2009). Na exact algorithm for preventive maintenance planning of series-parallel systems. Reliability Engineering and System Safety 94, 1517-1525.
  • [6] Garg, A. & Deshmukh, S.G. (2006). Maintenance management: literature review and directions. Journal of Quality in Maintenance Engineering. 12 No. 3, 205-238.
  • [7] Laggoune, R., Chateauneuf, A. & Aissani, D. (2009). Opportunistic policy for optimal preventive maintenance of a multi-component system in continuous operating units. Computers and Chemical Engineering 33, 1499-1510.
  • [8] Lin, W. & Wang, H. (2012). A hybrid genetic algorithm to minimize the periodic preventive maintenance cost in a series-parallel system. Journal of Intelligent Manufacturing 23, 1225-1236.
  • [9] Moghaddam, K.S. & Usher, J.S. (2011). Preventive maintenance and replacement scheduling for repairable and maintainable systems using dynamic programming. Computers & Industrial Engineering 60, 654-665.
  • [10] Ni, J. & Jin, X. (2012). Decision support systems for effective maintenance operations. CIRP Annals - Manufacturing Technology 61, 411-414.
  • [11] Nourelfath, M. & Châtelet, E. (2012). Integrating production, inventory and maintenance planning for a parallel system with dependent components. Reliability Engineering and System Safety 101, 59-66.
  • [12] Nourelfath, M., Fitouhi, M. & Machani, M. (2010). An Integrated Model for Production and Preventive Maintenance Planning in Multi-State Systems. IEEE Transactions on Reliability, Vol. 59, No 3, 496-506.
  • [13] Wang, H. & Lin, W. (2011). Improved particle swarm optimization to minimize periodic preventive maintenance cost for series-parallel systems. Expert Systems with Applications 38, 8963-8969.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8671b843-0043-4f5c-a63a-ecede690d76e
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