How to cite this paper
Zammori, F., Bertolini, M & Mezzogori, D. (2020). A constructive algorithm to maximize the useful life of a mechanical system subjected to ageing, with non-resuppliable spares parts.International Journal of Industrial Engineering Computations , 11(1), 17-34.
Refrences
Ahmed, I. & Sultana, I. (2013). A literature review on inventory modelling with reliability considerations. International Journal of Industrial Engineering Computation, 5(1), 169 – 178.
Basten, R.J.I. & Ryan, J.K. (2019). The value of maintenance delay flexibility for improved spare parts inventory management. European Journal of Operational Research, 278(2), 646 – 657.
Cai, J., Li, X. & Chen, X. (2017). Joint optimization of maintenance inspection and spare provisioning for aircraft deteriorating parts. Journal of Systems Engineering and Electronics, 28(6), 1133-1140.
Costantino, F., Di Gravio, G., Patriarca, R. & Petrella, L. (2018). Spare parts management for irregular demand items. Omega, 81, 57-66.
De Smidt-Destombes, K.S., Van Der Heijden,M.C. & Van Harten, A. (2009). Joint optimisation of spare part inventory, maintenance frequency and repair capacity for k-out-of-N systems. International Journal of Production Economics, 118, 260 - 268.
Denicoff, M., Fennell, J., Haber, S.E., Marlow, W.H. & Solomon, H. (1964). A Polaris logistic model, Naval Research Logistics Quarterly, 11(4), 259–272.
Do Rego, J.R & De Mesquita, M.A. (2011). Spare parts inventory control: a literature review. Producão, 21(4), 656-666.
Godoy, D.R., Pascual, R. & Knights, P. (2013). Critical spare parts ordering decisions using conditional reliability and stochastic lead time. Reliability Engineering & system Safety, 119, 199 – 206.
Hu, T.C. & Tien, B.N. (1976). Generating permutations with non-distinct items. American Mathematical Monthly, 83, 193-196.
Jiang, R. (2008). A Gamma–normal series truncation approximation for computing the Weibull renewal function. Reliability Engineering & System Safety, 93, 616-626.
Johnson, S.M. (1963). Generation of permutations by adjacent transpositions. Mathematics of Computation, 17, 282-285.
Khanlarzade, N., Yegane, B.Y., Kamalabadi, I.N. & Farughi, H. (2014). Inventory control with deteriorating items: a state of the art literature review. International Journal of Industrial Engineering Computation, 5(2), 179 – 198.
Kennedy, W.J., Patterson, J.W., & Fredendall, L.D. (2002). An overview of recent literature on spare parts inventories. International Journal of Production Economics, 76, 201–215.
Korsh, J. & Lipschutz, S. (1997). Generating Multiset Permutations in Constant Time. Journal of Algorithms, 25, 321-335.
Law, A.M. (2015). Simulation modelling and analysis. 5th Edn., McGraw-Hill Education, USA., ISBN-13: 978-0073401324.
Lehmer, D.H. (1964). The machine tools of combinatorics. In Applied Combinatorial Mathematics, edited by Beckenbach, E.F., pp. 5-31, Wiley, New York.
Rajpal, P.S., Shishodia K.S. & Sekhon, G.S. (2006). An artificial neural network for modeling reliability, availability and maintainability of a repairable system. Reliability Engineering & system Safety, 91, 809-819.
Renna, P. (2017). Flexibility configurations and preventive maintenance impact on job-shop manufacturing systems. International Journal of Industrial Engineering Computation, 8(4), 481-492.
Sheng, J. & Prescott, D. (2017). A hierarchical coloured Petri net model of fleet maintenance with cannibalisation. Reliability Engineering & System Safety, 168, 290-305
Sherbrooke, C.C. (1968). Metric: A multi-echelon technique for recoverable item control. Operations Research, 16(1), 122-141.
Sherbrooke, C.C. (2004). Optimal Inventory Modeling of Systems: Multi-Echelon Technique. 2nd Edn., Kluwer Academic Publishers, USA., ISBN-13: 978-1402078491.
Teunter R.H. & Fortuin L. (1999). End-of-life service. International Journal of Production Economics, 59, 487–497.
Teunter R.H. & Haneveld, W.K.K. (2002). Inventory control of service parts in the final phase. European Journal of Operational Research, 137, 497-511.
Van der Auweraer, S., Boute, R.N. & Syntetos, A.A. (2019). Forecasting spare part demand with installed base information: a review. International Journal of Forecasting, 35(1), 181-196.
Van der Auweraer, S. & Boute, R. (2019). Forecasting spare part demands using service maintenance information. International Journal of Production Economics, 213, 38-149.
Van Horenbeek. A., Scarf. P.A., Cavalcante, C.A.V. & Pintelon. L. (2013). The Effect of Maintenance Quality on Spare Parts Inventory for a Fleet of Assets. IEEE Transactions on Reliability, 62(3), 596 – 607.
Van Jaarsveld, W. & Dekker, R. (2011). Spare parts stock control for redundant systems using reliability centered maintenance data. Reliability Engineering & System Safety, 96(11), 1576 -1586.
Vaughan T.S. (2005). Failure replacement and preventive maintenance spare parts ordering policy. European Journal of Operational Research, 161, 183–190.
Yang, R. & Kang. J. (2017). A joint optimal policy of block preventive replacement and spare part inventory. International Journal of Systems Assurance Engineering and Management, 8(4), 740-746.
Willemain T.R., Smart C.N. & Schwarz H.F. (2004). A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting, 20, 375–387.
Basten, R.J.I. & Ryan, J.K. (2019). The value of maintenance delay flexibility for improved spare parts inventory management. European Journal of Operational Research, 278(2), 646 – 657.
Cai, J., Li, X. & Chen, X. (2017). Joint optimization of maintenance inspection and spare provisioning for aircraft deteriorating parts. Journal of Systems Engineering and Electronics, 28(6), 1133-1140.
Costantino, F., Di Gravio, G., Patriarca, R. & Petrella, L. (2018). Spare parts management for irregular demand items. Omega, 81, 57-66.
De Smidt-Destombes, K.S., Van Der Heijden,M.C. & Van Harten, A. (2009). Joint optimisation of spare part inventory, maintenance frequency and repair capacity for k-out-of-N systems. International Journal of Production Economics, 118, 260 - 268.
Denicoff, M., Fennell, J., Haber, S.E., Marlow, W.H. & Solomon, H. (1964). A Polaris logistic model, Naval Research Logistics Quarterly, 11(4), 259–272.
Do Rego, J.R & De Mesquita, M.A. (2011). Spare parts inventory control: a literature review. Producão, 21(4), 656-666.
Godoy, D.R., Pascual, R. & Knights, P. (2013). Critical spare parts ordering decisions using conditional reliability and stochastic lead time. Reliability Engineering & system Safety, 119, 199 – 206.
Hu, T.C. & Tien, B.N. (1976). Generating permutations with non-distinct items. American Mathematical Monthly, 83, 193-196.
Jiang, R. (2008). A Gamma–normal series truncation approximation for computing the Weibull renewal function. Reliability Engineering & System Safety, 93, 616-626.
Johnson, S.M. (1963). Generation of permutations by adjacent transpositions. Mathematics of Computation, 17, 282-285.
Khanlarzade, N., Yegane, B.Y., Kamalabadi, I.N. & Farughi, H. (2014). Inventory control with deteriorating items: a state of the art literature review. International Journal of Industrial Engineering Computation, 5(2), 179 – 198.
Kennedy, W.J., Patterson, J.W., & Fredendall, L.D. (2002). An overview of recent literature on spare parts inventories. International Journal of Production Economics, 76, 201–215.
Korsh, J. & Lipschutz, S. (1997). Generating Multiset Permutations in Constant Time. Journal of Algorithms, 25, 321-335.
Law, A.M. (2015). Simulation modelling and analysis. 5th Edn., McGraw-Hill Education, USA., ISBN-13: 978-0073401324.
Lehmer, D.H. (1964). The machine tools of combinatorics. In Applied Combinatorial Mathematics, edited by Beckenbach, E.F., pp. 5-31, Wiley, New York.
Rajpal, P.S., Shishodia K.S. & Sekhon, G.S. (2006). An artificial neural network for modeling reliability, availability and maintainability of a repairable system. Reliability Engineering & system Safety, 91, 809-819.
Renna, P. (2017). Flexibility configurations and preventive maintenance impact on job-shop manufacturing systems. International Journal of Industrial Engineering Computation, 8(4), 481-492.
Sheng, J. & Prescott, D. (2017). A hierarchical coloured Petri net model of fleet maintenance with cannibalisation. Reliability Engineering & System Safety, 168, 290-305
Sherbrooke, C.C. (1968). Metric: A multi-echelon technique for recoverable item control. Operations Research, 16(1), 122-141.
Sherbrooke, C.C. (2004). Optimal Inventory Modeling of Systems: Multi-Echelon Technique. 2nd Edn., Kluwer Academic Publishers, USA., ISBN-13: 978-1402078491.
Teunter R.H. & Fortuin L. (1999). End-of-life service. International Journal of Production Economics, 59, 487–497.
Teunter R.H. & Haneveld, W.K.K. (2002). Inventory control of service parts in the final phase. European Journal of Operational Research, 137, 497-511.
Van der Auweraer, S., Boute, R.N. & Syntetos, A.A. (2019). Forecasting spare part demand with installed base information: a review. International Journal of Forecasting, 35(1), 181-196.
Van der Auweraer, S. & Boute, R. (2019). Forecasting spare part demands using service maintenance information. International Journal of Production Economics, 213, 38-149.
Van Horenbeek. A., Scarf. P.A., Cavalcante, C.A.V. & Pintelon. L. (2013). The Effect of Maintenance Quality on Spare Parts Inventory for a Fleet of Assets. IEEE Transactions on Reliability, 62(3), 596 – 607.
Van Jaarsveld, W. & Dekker, R. (2011). Spare parts stock control for redundant systems using reliability centered maintenance data. Reliability Engineering & System Safety, 96(11), 1576 -1586.
Vaughan T.S. (2005). Failure replacement and preventive maintenance spare parts ordering policy. European Journal of Operational Research, 161, 183–190.
Yang, R. & Kang. J. (2017). A joint optimal policy of block preventive replacement and spare part inventory. International Journal of Systems Assurance Engineering and Management, 8(4), 740-746.
Willemain T.R., Smart C.N. & Schwarz H.F. (2004). A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting, 20, 375–387.