Title :
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
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;
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
DOI :
10.1109/AICI.2009.192
