[1] Zohrul K A, Farrash S H. Simulation of an integrated age replacement and spare provisioning policy using SLAM. Reliability Engineering & System Safety, 1996, 52(2): 129-138.[2] Zohrul K A, Al-Olayan A S. Stocking policy for spare part provisioning under age based preventive replacement. European Journal of Operational Research, 1996, 90(1): 171-181.[3] Dohi T, Shibuya T, Osaki S. Models for 1-out-of Q systems with stochastic lead times and expedited ordering options for spares inventory. European Journal of Operational Research, 1997, 103(1): 255-272.[4] Chelbi A, Ait-Kadi D. Spare provisioning strategy for preventively replaced systems subjected to random failure. International Journal of Production Economics, 2001, 74(1-3): 183-189.[5] Diallo C, Ait-Kadi D, Chelbi A. (s,Q) spare parts provisioning strategy for periodically replaced systems. IEEE Transactions on Reliability, 2008, 57(1): 134-139.[6] Tu F, Ghoshal S, Luo J, et al. PHM integration with maintenance and inventory management systems. Proceedings of 2007 IEEE Aerospace Conference, 2007: 1-12.[7] Elwany A H, Gebraeel N Z. Sensor-driven prognostic models for equipment replacement and spare parts inventory. IIE Transactions, 2008, 40(7): 629-639.[8] Kaiser K M. A simulation study of predictive maintenance policies and how they impact manufacturing systems. Iowa City: Department of Mechanical and Industrial Engineering, University of Iowa, 2007.[9] Kaiser K A, Gebraeel N Z. Predictive maintenance management using sensor-based degradation models. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 2009, 39(4): 840-849.[10] Armstrong M J, Atkins D R. Note on joint optimization of maintenance and inventory. IIE Transactions, 1998, 30(2): 143-149.[11] Armstrong M J, Atkins D R. Joint optimization of maintenance and inventory policies for a simple system. IIE Transactions, 1996, 28(5): 415-424.[12] Rausch M, Liao H. Joint production and spare part inventory control strategy driven by condition based maintenance. IEEE Transactions on Reliability, 2010, 59(3): 507-516.[13] Khalak A, Tierno J. Influence of prognostic health management on logistic supply chain. Proceedings of 2006 American Control Conference, 2006: 3737-3742.[14] Wang L. Models and methods for maintenance decisions:theory and applications. Hangzhou: College of Information Science and Engineering, Zhejiang University, 2007.(in Chinese) 王凌. 维修决策模型和方法的理论与应用研究. 杭州: 浙江大学信息科学与工程学院, 2007.[15] Wang L, Chu J, Mao W. A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure. European Journal of Operational Research, 2009, 194(1): 184-205.[16] Wang L, Chu J, Mao W. An optimum condition-based replacement and spare provisioning policy based on Markov chains. Journal of Quality in Maintenance Engineering, 2008, 14(4): 387-401.[17] Wang W, Liu Y, Pecht M. A theoretical model to minimize the operational cost for canary-equipped electronic system's health management. Proceedings of the First International Symposium on System Informatics and Engineering, 2011: 233-238.[18] Wang T, Lee J. On performance evaluation of prognostics algorithms. Proceeding for 63nd Meeting of the Society for Machinery Failure Prevention Technology, 2009: 219-226.[19] Banjevic D. Remaining useful life in theory and practice. Metrika, 2009(69): 337-349.[20] Rausch M T. Condition based maintenance of a single system under spare part inventory constraints. Wichita: Department of Industrial Engineering, Wichita State University, 2008: 36-40.[21] Wang X N, Pi J M, Yu W, et al. A method of information efficiency evaluation in NCW. Modern Defence Technology, 2007, 35(5): 14-18.(in Chinese) 王小念, 皮军明, 余巍, 等. 一种网络中心战中信息效能度量方法. 现代防御技术, 2007, 35(5): 14-18. |