DocumentCode :
536190
Title :
An evaluation method for coordinate level of concurrent project schedules based on grey correlation analysis
Author :
Zhang, Jie ; Li, Yuan ; Yu, Lian-Feng
Author_Institution :
Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
413
Lastpage :
416
Abstract :
A survey of multi-project environment on complex product manufacturing enterprises found that most concurrent project schedules can´t be implemented well together, and duration delay became a common phenomenon because of various coordinate reasons. Based on grey correlation analysis(GCA), the paper presented an evaluation method for coordinate level of concurrent project schedules, which provided an approach that project manager can quantify degree of influence for different project. In the method, firstly the factors that can influence coordinate level were defined by enterprise´s demand, and its weight was obtained by a quantitative mapping between mood arithmetic operators and binary comparison. Secondly, the reference and compare sequence were discussed according to project priority. Based on influence factors, the method for setting value of sequence was further explained. Finally a correlation coefficient was utilized in calculating grey correlation grade for concurrent project schedules, which was a quantized value of coordinate level. Furthermore, an example on aircraft industry was used to prove the feasibility and validity of method.
Keywords :
enterprise resource planning; grey systems; manufacturing resources planning; project management; complex product manufacturing enterprise; concurrent project scheduling; coordinate level evaluation method; grey correlation analysis; mood arithmetic operator; multiproject management; Electronic mail; Manufacturing; Schedules; concurrent project schedules; coordinate level evaluation; grey correlation analysis; multi-project management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
Type :
conf
DOI :
10.1109/ICICISYS.2010.5658321
Filename :
5658321
Link To Document :
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