It is well accepted that buffer management holds great significance to critical chain project management. As one of the core aspects of buffer management, buffer monitoring plays an important role in ensuringthe on-time delivery and providing the project with sufficient protection.The current buffer monitoring methods do not adequately account for the risk characteristics of the project phase and the dynamic association between activities.To solve this defect, a real-time rolling monitoring and control method is proposed in this paper. The proposed method takes into account the uncertainty of the project as well as the relationship between the various activities, and allocates project buffer based on the risk exposure of activities.The calculation of risk exposure index based on uncertainty and the initial buffer allocation on this basis are studied. Then the residual buffer is reallocated according to thedynamicrisk weighting factor of activities based on the rolling distribution monitoring model, and two monitoring thresholds are set andadjusted dynamically according to actual buffer consumption during project execution. Finally, the Monte Carlo simulation experiment is carried out to compare the proposed method with the current methods.The simulation results indicate that the proposed method can effectively reduce wrong warnings and the extra cost and time caused by the wrong warnings, signifying that it can greatly improve the on-time completion of the project.
ZHANG Jun-guang, WAN Dan
. Dynamic Real-time Monitoring and Control of the Critical Chain Project[J]. Chinese Journal of Management Science, 2018
, 26(4)
: 171
-179
.
DOI: 10.16381/j.cnki.issn1003-207x.2018.04.019
[1] Goldratt E M. Critical chain:A business novel[M]. Great Barrington, MA:North River Press, 1997.
[2] Newblod R C. Project management in the fast lane-applying the theory of constraints[M]. Boca Raton:The S t. Lucie Press, 1998.
[3] Trietsch D. The effect of systemic errors on optimal project buffers[J].International Journal of Project Management, 2005, 23(4):267-274.
[4] 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.
[5] Zhang Junguang, Song Xiwei, Díaz E. Project buffer sizing of a critical chain based on comprehensive resource tightness[J]. European Journal of Operational Research, 2016, 248(1):174-182.
[6] Zhang Junguang, Song Xiwei, Diaz E. Buffer sizing of critical chain based on attribute optimization[J]. Concurrent Engineering, 2014, 22(3):253-264.
[7] Herroelen W S, Leus R. On the merits and pitfalls of critical chain scheduling[J]. Journal of Operations Management, 2001, 19(5):559-577.
[8] 万伟, 蔡晨, 王长峰. 在单资源约束项目中的关键链管理[J]. 中国管理科学, 2003, 11(2):70-75.
[9] 褚春超. 缓冲估计与关键链项目管理[J]. 计算机集成制造系统, 2008, 14(5):1029-1035.
[10] Leach L P. Critical chain project management[M]. Massachusetts:Artech House, 2014.
[11] 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.
[12] 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.
[13] Bevilacqua M, Ciarapica F E, Giacchetta G. Critical chain and risk analysis applied to high-risk industry maintenance:A case study[J]. International Journal of Project Management, 2009, 27(4):419-432.
[14] 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.
[15] 别黎. 关键链项目管理中缓冲估计与监控方法研究[D].武汉:华中科技大学,2012.
[16] Hu Xuejun, Cui Nanfang, 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.
[17] 杨双. 基于缓冲的软件项目进度监控方法研究[D].北京:北京科技大学,2013.
[18] 蔡晨, 万伟. 基于PERT/CPM的关键链管理[J]. 中国管理科学, 2003, 11(6):35-39.
[19] 张俊光, 沈佳佳, 杨双. 基于缓冲的软件项目工作量估算模型研究[J]. 管理工程学报, 2015, 29(04):171-177.
[20] Zhang Junguang, Shi Ruixia, Diaz E. Dynamic monitoring and control of software project effort based on an effort buffer[J]. Journal of the Operational Research Society, 2015, 66(9):1555-1565.
[21] Vanhoucke M. On the dynamic use of project performance and schedule risk information during project tracking[J]. Omega, 2011, 39(4):416-426.
[22] Yuan K J, Chang S H, Li R K. Enhancement of theory of constraints replenishment using a novel generic buffer management procedure[J]. International journal of production research, 2003, 41(4):725-740.
[23] Wu H H, Chen C P, Tsai C H, et al. A study of an enhanced simulation model for TOC supply chain replenishment system under capacity constraint[J]. Expert Systems with Applications, 2010, 37(9):6435-6440.
[24] Simatupang T M, Wright A C, Sridharan R. Applying the theory of constraints to supply chain collaboration[J]. Supply chain Management:an international journal, 2004, 9(1):57-70.
[25] Watson K J, Blackstone J H, Gardiner S C. The evolution of a management philosophy:The theory of constraints[J]. Journal of operations Management, 2007, 25(2):387-402.