DocumentCode :
1533177
Title :
Fuzzy Complexity Model for Enterprise Maintenance Projects
Author :
Shafiei-Monfared, Sareh ; Jenab, Kouroush
Author_Institution :
Dept. of Mech. & Ind. Eng., Ryerson Univ., Toronto, ON, Canada
Volume :
59
Issue :
2
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
293
Lastpage :
298
Abstract :
Complexity measures can be used as a yardstick for budgeting, resource allocation, and planning in enterprise maintenance projects. Maintenance projects have two primary areas of complexity (i.e., technical and managerial aspects) that may not be measured precisely due to uncertain situations. In this study, a fuzzy graph-based model to measure the relative complexity of projects is presented that uses an aggregation operator to mitigate the conflict of experts´ opinions on a complexity relation. Using a fuzzy relation matrix to represent the degree of assurance of complexity, the model maps a fuzzy graph into a scaled Cartesian diagram that depicts the relative degree of complexity among projects. An illustrative example for several maintenance projects is demonstrated to present the application of the model.
Keywords :
budgeting; enterprise resource planning; fuzzy set theory; graph theory; maintenance engineering; matrix algebra; resource allocation; budgeting; complexity assurance; enterprise maintenance project planning; expert opinions; fuzzy complexity model; fuzzy graph-based model; fuzzy relation matrix; relative project complexity; resource allocation; scaled Cartesian diagram; Assembly; Complexity theory; Electromagnetic interference; Maintenance engineering; Measurement uncertainty; Planning; Resource management; Complexity measures; fuzzy graph; fuzzy relation; maintenance;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/TEM.2010.2096560
Filename :
5783908
Link To Document :
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