Prognostics-Based Two-Operator Competition in Proactive Replacement and Service Parts Procurement

References

• Banjevic, D. (2009) Remaining useful life in thoery and practice. Metrika, 69(2), 337–349.
   Web of Science ®Google Scholar
• Berg, M.P. (1995) The marginal cost analysis and its application to repair and replacement policies. European Journal of Operational Research, 82(2), 214–224.
   Web of Science ®Google Scholar
• Berrichi, A., Yalaoui, F., Amodeo, L. and Mezghiche, M. (2010) Bi-objective ant colony optimization approach to optimize production and maintenance scheduling. Computers & Operations Research, 37(9), 1584–1596.
   Web of Science ®Google Scholar
• Chen, M., and Feldman, R.M. (1997) Optimal replacement policies with minimal repair and age-dependent costs. European Journal of Operational Research, 98(1), 75–84.
   Web of Science ®Google Scholar
• Cui, L. (2008) Maintenance models and optimization. In Handbook of Performability Engineering, K.B. Misra, editor. Springer, New York.
   Google Scholar
• Dehayem Nodem, F.I., Kenne, J.P. and Gharbi, A. (2009) Hierarchical decision making in production and repair/replacement planning with imperfect repairs under uncertainties. European Journal of Operational Research, 198(1), 173–189.
   Web of Science ®Google Scholar
• Elsayed, E.A. (1996) Reliability Engineering, Addison-Wesley, New York.
   Google Scholar
• Fathi Aghdam, F., and Liao, H.T. (2012) Prognostics-based replacement and competition in service part procurement. Proceedings of ASME/ISCIE 2012 International Symposium on Flexible Automation, 18–20 June 2012, St. Louis, MO.
   Google Scholar
• Jackson, C., and Pascual, R. (2008) Optimal maintenance service contract negotiation with aging equipment. European Journal of Operational Research, 189(2), 387–398.
   Web of Science ®Google Scholar
• Jia, D., Cheng, H., Zhang, W., Hu, Z., Yan, J., and Chen, M. (2009) A new game theory-based solution methodology for generation maintenance strategy. European Transactions on Electrical Power, 19(2), 225–239.
   Web of Science ®Google Scholar
• Kim, J.H., Park, J.B., Park, J.K., and Chun, Y.H. (2005) Generating unit maintenance scheduling under competitive market environments. Electrical Power and Energy Systems, 27(3), 189–194.
   Web of Science ®Google Scholar
• Liao, H.T., Elsayed, E.A. and Chan, L.-Y. (2006) Maintenance of continuously monitored degrading systems. European Journal of Operational Research, 175(2), 821–835.
   Web of Science ®Google Scholar
• Moradi, E., Fatemi Ghomi, S.M. T., and Zandieh, M. (2011) Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem. Expert Systems with Applications, 38(6), 7169–7178.
   Web of Science ®Google Scholar
• Murthy, D.N. P., and Asgharizadeh, E. (1999) Optimal decision making in a maintenance service operation. European Journal of Operational Research, 116(2), 259–273.
   Web of Science ®Google Scholar
• Nedim, M.A., and Sirakaya, S. (2003) On-line computation of Stackelberg equilibria with synchronous parallel genetic algorithms. Economic Dynamics and Control, 27(8), 1503–1515.
   Google Scholar
• Nosoohi, I., and Hejazi, S.R. (2011) A multi-objective approach to simultaneous determination of service part numbers and preventive replacement times. Applied Mathematical Modeling, 35(3), 1157–1166.
   Web of Science ®Google Scholar
• Panagiotidou, S., and Tagaras, G. (2007) Optimal preventive maintenance for equipment with two quality states and general failure time distributions. European Journal of Operational Research, 180(1), 329–353.
   Web of Science ®Google Scholar
• Petelet, M., Iooss, B., Asserin, O., and Loredo, A. (2010) Latin hypercube sampling with inequality constraints. Advances in Statistical Analysis, 54(4), 325–339.
   Web of Science ®Google Scholar
• Quan, G., Greenwood, G.W., Liu, D., and Hu, S. (2007) Searching for multiobjective preventive maintenance schedules: combining preferences with evolutionary algorithms. European Journal of Operational Research, 177(3), 1969–1984.
   Web of Science ®Google Scholar
• Rausch, M., and Liao, H.T. (2010) Joint production and spare part inventory control strategy driven by condition based maintenance. IEEE Transactions on Reliability, 59(3), 507–516.
   Web of Science ®Google Scholar
• Stinstra, E., Den Hertog, D., Stehouwer, P., and Vestjens, A. (2003) Constrained maximin designs for comupter experiments. Technometrics, 45(4), 340–346.
   Web of Science ®Google Scholar
• Tian, Z., Jin, T., Wu, B., and Ding, F. (2011) Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy, 36, 1502–1509.
   Web of Science ®Google Scholar
• Tian, Z., and Liao, H.T. (2011) Condition based maintenance optimization for multi-component systems using proportional hazards model. Reliability Engineering & System Safety, 96(5), 581–589.
   Web of Science ®Google Scholar
• Vallée, T., and Basar, T. (1999) Off-line computation of Stackelberg solutions with the genetic algorithm. Computational Economics, 13(3), 201–209.
   Google Scholar
• Vaughan, T.S. (2005) Failure replacement and preventive maintenance spare parts ordering policy. European Journal of Operational Research, 161(1), 183–190.
   Web of Science ®Google Scholar
• Wang, H. (2002) A survey of maintenance policies of deteriorating systems. European Journal of Operational Research, 139(3), 469–489.
   Web of Science ®Google Scholar
• Wang, L., Chu, J., and Mao, W. (2009) A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure. European Journal of Operational Research, 194(1), 184–205.
   Web of Science ®Google Scholar
• Wang, W. (2010) A model for maintenance service contract design, negotiation and optimization. European Journal of Operation Research, 201(1), 239–246.
   Web of Science ®Google Scholar
• Wang, W. (2012) A stochastic model for joint spare parts inventory and planned maintenance optimization. European Journal of Operational Research, 216(1), 127–139.
   Web of Science ®Google Scholar
• Wu, B., Tian, Z., and Chen, M. (2013) Condition-based maintenance optimization using neural network-based health condition prediction. Quality and Reliability Engineering International, 29(8), 1151–1163.
   Web of Science ®Google Scholar
• Yu, H., and Tseng, S. (2004) Designing a degradation experiment with a reciprocal Weibull degradation rate. Quality Technology & Quantitative Management, 1(1), 47–63.
   Google Scholar
• Zohrul Kabir, A.B. M., and Al-Olayan, A.S. (1996) A stocking policy for spare part provisioning under age based preventive replacement. European Journal of Operational Research, 90(1), 171–181.
   Web of Science ®Google Scholar