Towards an intelligent holonic maintenance system
Research output: Contribution to journal › Article › peer-review
In this paper a proposed model provides a decision analysis capability that is often missing in existing CMMSs. The system is highly adaptive and has been successfully applied in industry. The proposed model employs a hybrid of intelligent approaches; a fuzzy logic control rule based (FLCRB) model and a multiple criteria decision-making technique called the Analytic Hierarchy Process (AHP). This hybrid system is analogous to the Holonic concept in that it provides a combination of flexible strategies and fixed rules as defined by Koestler (1989). The distinction between these two features is important. The rules on function automatically, whereas the strategic choices are aided by higher level of strategic policies. Therefore, using a rule-base approach and the Analytic Hierarchy Process (AHP)technique, the relationship and criteria of the proposed system will be analysed.
|Number of pages||8|
|Journal||Journal of Maintenance & Asset Management|
|Publication status||Published - 2003|