Determination of Incremental Buffer Based on Alternative Resource Variability

Abstract

Abstract:

To avoid the project delay caused by resource constraints at the project planning stage and the resource shortage during the project implementation, an incremental buffer sizing method based on alternative resource variability is proposed. Firstly, based on the resource-supply-risk of each critical chain activity, we determine whether or not to utilize alternative resources. Secondly, according to the resource supply risk and the alternative resource variability, we calculate the buffer size, determine the project duration and optimize the project progress network. Finally, we prove that the proposed method can improve the project schedule effectively, reduce the impact of resource risk on the project duration and improve the on-time completion rate.

Key words: critical chain, incremental buffering, resource supply risk, alternative resource variability

Zhang Junguang, Li Kai. Determination of Incremental Buffer Based on Alternative Resource Variability[J]. , 2019, 31(3): 258-264.

References

[1] Goldratt E. M. Critical chain[M]. Great Barrington:The North River Press, 1997
[2] Leach L. P. Critical Chain Project Management[M]. Boston:Artech House, 2014
[3] 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
[4] 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
[5] Herroelen W., Leus R. On the Merits and Pitfalls of Critical Chain Scheduling[J]. Journal of Operations Management, 2001,19(5):559-577
[6] Ashtiani B., Jalali G. R., Aryanezhad M. B., et al. A New Approach for Buffer Sizing in Critical Chain Scheduling[C]. Industrial Engineering and Engineering Management, 2007 IEEE International Conference on. IEEE, 2007
[7] Newbold R. C. Project Management in the Fast Lane-applying the Theory of Constraints[M]. Boca Raton:The St. Lucie Press, 1998
[8] 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
[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] 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
[11] 胡晨,徐哲,于静. 基于工期分布和多资源约束的关键链缓冲区大小计算方法[J]. 系统管理学报, 2015,24(2):237-242
[12] Zhang J., Song X., Díaz E. Buffer Sizing of Critical Chain Based on Attribute Optimization[J]. Concurrent Engineering, 2014,22(3):253-264
[13] Zhang J., Song X., 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
[14] 林晶晶,周国华,杨琴. 考虑资源可替代性的关键链调度方法研究[J]. 管理学报, 2010,7(8):1233-1236
[15] 林晶晶. 考虑资源可替代性的关键链识别与缓冲设置方法研究[D]. 西南交通大学博士学位论文, 2011
[16] 施骞,王雅婷,龚婷. 项目缓冲设置方法及其评价指标改进[J]. 系统工程理论与实践, 2012,32(8):1739-1746
[17] 宋喜伟. 基于缓冲的软件项目动态混合监控方法研究[D]. 北京科技大学硕士学位论文, 2015
[18] Khemakhem M. A., Chtourou H. Efficient Robustness Measures for the Resource-constrained Project Scheduling Problem[J]. International Journal of Industrial and Systems Engineering, 2013,14(2):245-267
[19] 喻小光,战德臣,聂兰顺,等. 柔性资源约束的资源水平项目调度问题[J]. 计算机集成制造系统, 2010,16(9):1967-1976
[20] 张俊光,宋喜伟,杨双. 基于熵权法的关键链项目缓冲确定方法[J]. 管理评论, 2017,29(1):211-219
[21] 张鹏飞,王谦. 基于信息不对称的突发需求风险管理[J]. 管理评论, 2012,24(7):143-151
[22] Patterson J. H. A Comparison of Exact Approaches for Solving the Multiple Constrained Resource, Project Scheduling Problem[J]. Management science, 1984,30(7):854-867