A Fuzzy Buffer Setting Method for Project Scheduling under Uncertainty

Article Preview

Abstract:

The buffer setting methods are useful ways to deal with the uncertainty. However, few has concern how to estimate the safe time of each project activity, which is used to set the buffer, when historic information of project is not enough. In this paper a fuzzy buffer setting method is proposed to solve the shortage. The fuzzy method has three steps: estimate the fuzzy duration, calculate the safe time and determine the buffer size. A calculation example is also given to introduce the detail procedure of this method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2889-2894

Citation:

Online since:

February 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Herroelen,W. and Leus, R. Projelct scheduling under uncertainty: Survey and research potentials. European Journal of Operational Research 2005; 165(2): 289–306.

DOI: 10.1016/j.ejor.2004.04.002

Google Scholar

[2] Möhring, R., Radermacher, F., Weiss, G. Stochastic scheduling problems I –Set strategies. Zeitschrift für Operations Research 1984; 28: 193–260.

DOI: 10.1007/bf01919323

Google Scholar

[3] Möhring, R., Radermacher, F., Weiss, G. Stochastic scheduling problems II –General strategies. Zeitschrift für Operations Research 1985; 29: 65–104.

DOI: 10.1007/bf01918198

Google Scholar

[4] Golenko-Ginzburg, D., Gonik. A. Stochastic network project scheduling with non-consumable limited resources. Int. J. Prod. Econ. 1997; 48(1): 29–37.

DOI: 10.1016/s0925-5273(96)00019-9

Google Scholar

[5] Stork, F. Stochastic resource-constrained project scheduling. Ph.D. thesis, Technische Universität, Berlin. (2001).

Google Scholar

[6] Rabbani, M., Ghomi, S. M. T. Fatemi., Jolai, F., Lahiji, N.S. A new heuristic for resource-constrained project scheduling in stochastic networks using critical chain consept. European Journal of Operational Research 2007; 176(2): 794-808.

DOI: 10.1016/j.ejor.2005.09.018

Google Scholar

[7] Ballestín, F. When it is worthwile to work with the stochastic RCPSP? J. Scheduling 2007; 10(3): 153-166.

Google Scholar

[8] Ballestín, F., Leus, R. Resource-Constrained Project Scheduling for Timely Project Completion with Stochastic Activity Durations. Production and Operations Management 2009; 18(4): 459-474.

DOI: 10.1111/j.1937-5956.2009.01023.x

Google Scholar

[9] Deblaere, F., Demeulemeester, E., Herroelen, W. Proactive policies for the stochastic resource- constrained project scheduling problem. European Journal of Operational Research 2011; 214(2): 308-316.

DOI: 10.1016/j.ejor.2011.04.019

Google Scholar

[10] Stijn Van de Vonder, Demeulemeester, E. and Herroelen, W. The use of buffers in project management: The trade-off between stability and makespan. International Journal of Production Economics 2005; 97(2): 227–240.

DOI: 10.1016/j.ijpe.2004.08.004

Google Scholar

[11] Stijn Van de Vonder, Demeulemeester, E. and Herroelen, W. The trade-off between stability and makespan in resource-constrained project scheduling. International Journal of Production Research 2006; 44(2): 215–236.

DOI: 10.1080/00207540500140914

Google Scholar

[12] Stijn Van de Vonder, Demeulemeester, E. and Herroelen, W. A classification of predictive-reactive project scheduling procedures. Journal of Scheduling 2007; 10(3): 195–207.

DOI: 10.1007/s10951-007-0011-2

Google Scholar

[13] Stijn Van de Vonder, Demeulemeester, E. and Herroelen, W. Proactive heuristic procedures for robust project scheduling: An experimental analysis. European Journal of Operational Research 2008; 189(3): 723–733.

DOI: 10.1016/j.ejor.2006.10.061

Google Scholar

[14] Ghosh, S. Guaranteeing fault tolerance through scheduling in real-time systems. Ph.D. thesis. University of Pittsburgh. (1996).

Google Scholar

[15] Goldratt,E. Critical Chain. Great Barrington : North River Press, (1997).

Google Scholar

[16] Herroelen, W., Leus, R. On the merits and pitfalls of critical chain scheduling. Journal of Operations Management 2001; 19(5): 559–577.

DOI: 10.1016/s0272-6963(01)00054-7

Google Scholar

[17] Newbold, R.C. Project Management in the Fast Lane – Applying the Theory of Constraints. Boca Raton: The St. Lucie Press, (1998).

Google Scholar

[18] Oya I. Tukel, Walter O. Rom, Sandra Duni Eksioglu. An investigation of buffer sizing techniques in critical chain scheduling. European Journal of Operational Research, 2006, 172(2): 401~416.

DOI: 10.1016/j.ejor.2004.10.019

Google Scholar

[19] Bonnal,P., Gourc,D. and Lacoste, G. Where do we stand with fuzzy project scheduling? Journal of Construction Engineering and Management, 2004, 130(1): 114~123.

DOI: 10.1061/(asce)0733-9364(2004)130:1(114)

Google Scholar

[20] Long, L.D., Ohsato, A. Fuzzy critical chain method for project scheduling under resource constraints and uncertainty. International Journal of Project Management 2008; 26(6): 688–698.

DOI: 10.1016/j.ijproman.2007.09.012

Google Scholar