DocumentCode
2248107
Title
Critical Chain Project Management Based Heuristic Algorithm for Multiple Resources-Constrained Project
Author
Liu Jian-Bing ; Ren Hong ; Xie Ji-Hai
Author_Institution
Sch. of Constr. Manage. & Real Estate, CHONGQING Univ., Chongqing, China
Volume
1
fYear
2008
fDate
19-19 Dec. 2008
Firstpage
330
Lastpage
335
Abstract
The traditional methods of project schedule management still have had a lot of problem, which are bad to the stability of the project plan and easy to the overthrow of the project plan and so on. Critical chain is a new kind of method of project management brought forward by Dr El GOLDRATT in 1997, which based on the theory of constraint, After the theory and the application of Critical Chain Project Management (It´s abbreviation is CCPM) are introduced, a new kind of method of buffer´ size calculated is designed. which can built the project buffer management mechanism that carries out the project duration dynamic management. The critical chain project management technology optimized by heuristic algorithm based on the prior rule is applied to scheme the best optimal duration of Multiple Resources Constrained Project Schedule Problem (It´s abbreviation is MRCPSP), which solves the problems of the stability and the whole optimization of the project schedule.
Keywords
project management; scheduling; critical chain project management; heuristic algorithm; multiple resources-constrained project; project buffer management mechanism; project duration dynamic management; project schedule management; project stability; Constraint optimization; Constraint theory; Design optimization; Dynamic scheduling; Heuristic algorithms; Project management; Resource management; Scheduling algorithm; Stability; Technology management; buffer size; critical chain management; heuristic algorithm; project schedule management; theory of constraint;
fLanguage
English
Publisher
ieee
Conference_Titel
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3560-9
Type
conf
DOI
10.1109/ISBIM.2008.96
Filename
5117496
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