An Improved Project Buffer Sizing Approach to Critical Chain Management Under Resources Constraints and Fuzzy Uncertainty

Author

Shi, Qian ; Gong, Ting

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai, China

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

486

Lastpage

490

Abstract

An improved buffer sizing method in critical chain scheduling is proposed to deal with resource constraints and fuzzy uncertainties in project management. This method integrates three uncertainties of resource provision, network complexity and risk preference of project manager to optimize the buffer configuration. Compared with the two traditionally suggested methods, C&PM and RSEM, it generates much smaller buffer while assure the same completion as the other two does.

Keywords

fuzzy set theory; project management; critical chain management; critical chain scheduling; fuzzy uncertainty; project buffer sizing method; project management; resource constraint; Artificial intelligence; Conference management; Environmental economics; Fuzzy sets; Heuristic algorithms; Project management; Resource management; Risk management; Scheduling algorithm; Uncertainty; Critical Chain; Fuzzy function; Mean cost of makespan; Project buffer sizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.192

Filename

5376276