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