[1] Mirzaei M., Mabin V. J. A Review of the Scholarly Literature on CCPM:A Focus on Underpinning Assumptions[J]. International Journal of Project Organisation and Management, 2018,10(3):242-267 [2] Zarghami S. A., Gunawan I., Corral de Zubielqui G., et al. Incorporation of Resource Reliability into Critical Chain Project Management Buffer Sizing[J]. International Journal of Production Research, 2020,58(20):6130-6144 [3] 张俊光,冉文娟,贾赛可,等.关键链项目缓冲设置研究述评与展望[J].管理评论, 2017,29(12):195-203 [4] Goldratt E. M. Critical Chain:A Business Novel[M]. London:Routledge, 2017 [5] 张俊光,李凯.基于替代资源变异度的增量缓冲设定方法研究[J].管理评论, 2019,31(3):260-266 [6] Chen Z., Demeulemeester E., Bai S., et al. A Bayesian Approach to Set the Tolerance Limits for a Statistical Project Control Method[J]. International Journal of Production Research, 2020,58(10):3150-3163 [7] Newbold R. C. Project Management in the Fast Lane:Applying the Theory of Constraints[M]. Florida:CRC Press, 1998 [8] 别黎,崔南方.关键链动态缓冲监控方法研究[J].中国管理科学, 2010,18(6):97-103 [9] Hu X., Demeulemeester E., Cui N., et al. Improved Critical Chain Buffer Management Framework Considering Resource Costs and Schedule Stability[J]. Flexible Services and Manufacturing Journal, 2017,29(2):159-183 [10] 张俊光,万丹.关键链项目实时滚动监控方法研究[J].中国管理科学, 2018,26(4):171-179 [11] Kuo T. C., Chang S. H., Huang S. N. Due-date Performance Improvement Using TOC's Aggregated Time Buffer Method at a Wafer Fabrication Factory[J]. Expert Systems with Applications, 2009,36(2):1783-1792 [12] Zhang J., Jia S., Diaz E. Dynamic Monitoring and Control of a Critical Chain Project Based on Phase Buffer Allocation[J]. Journal of the Operational Research Society, 2018,69(12):1966-1977 [13] Zhang J., Wan D. Integrated Buffer Monitoring and Control Based on Greyneural Network[J]. Journal of the Operational Research Society, 2019,70(3):516-529 [14] Faria J., Araújo M., Demeulemeester E., et al. Project Management under Uncertainty:Using Flexible Resource Management to Exploit Schedule Flexibility[J]. European Journal of Industrial Engineering, 2020,14(5):599-631 [15] 胡雪君,王建江,崔南方.基于统计过程控制的两阶段缓冲监控方法[J].控制与决策, 2020,35(6):1453-1462 [16] Leach L. P. Critical Chain Project Management[M]. London:Artech House, 2014 [17] Vanhoucke M. On the Dynamic Use of Project Performance and Schedule Risk Information during Project Tracking[J]. Omega, 2011,39(4):416-426 [18] Hu X., Cui N., Demeulemeester E., et al. Incorporation of Activity Sensitivity Measures into Buffer Management to Manage Project Schedule Risk[J]. European Journal of Operational Research, 2016,249(2):717-727 [19] 别黎,崔南方,田文迪,等.基于活动敏感性的动态缓冲监控方法研究[J].中国管理科学, 2014,22(10):113-121 [20] Vanhoucke M. Using Activity Sensitivity and Network Topology Information to Monitor Project Time Performance[J]. Omega, 2010,38(5):359-370 [21] Thaler R. H. Mental Accounting and Consumer Choice[J]. Marketing Science, 2008,27(1):15-25 [22] Martens A., Vanhoucke M. A Buffer Control Method for Top-Down Project Control[J]. European Journal of Operational Research, 2017,262(1):274-286 [23] Campbell R., Huisman R., Koedijk K. Optimal Portfolio Selection in a Value-at-Risk Framework[J]. Journal of Banking&Finance, 2001,25(9):1789-1804 [24] Vanhoucke M. Using Activity Sensitivity and Network Topology Information to Monitor Project Time Performance[J]. Omega, 2010,38(5):359-370 [25] Sak H., Hörmann W., Leydold J. Efficient Risk Simulations for Linear Asset Portfolios in the T-copula Model[J]. European Journal of Operational Research, 2010,202(3):802-809 [26] 汪温泉,俞雪飞,潘德惠.证券投资基金的一种投资组合选择模型[J].系统工程学报, 2003,18(3):279-283 [27] Tukel, O. I., Rom, W. O., Eksioglu, S. D. An Investigation of Buffer Sizing Techniques in Critical Chain Scheduling[J]. European Journal of Operational Research, 2006,172(2):401-416 [28] Hu X., Cui N., Demeulemeester E. Effective Expediting to Improve Project Due Date and Cost Performance through Buffer Management[J]. International Journal of Production Research, 2015,53(5):1460-1471 [29] Zhang J., Song X., Chen H., et al. Optimisation of Critical Chain Sequencing Based on Activities' Information Flow Interactions[J]. International Journal of Production Research, 2015,53(20):6231-6241 |