Innovative Maintenance Model: Methodology of Decision Making and Global Economic Cost – Based Choice Using Fuzzy Logic Concepts

Zakaria Bouzoubaa1, *, Aziz Soulhi2, Jamila El Alami1, Noureddin El Alami3
1 Lastimi, Mohammed V University, Rabat, Higher School of Technology, Sale, Morocco
2 Higher National School of Mining, Rabat, Morocco
3 Mohammedia School of Engineering, Rabat, Morocco

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© 2017 Bouzoubaa et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this authors at the Lastimi, Mohammed V University, Rabat, Higher School of Technology, Sale, Morocco; Tel: 00212668576070; E-mail:



In this paper, we propose the Development of a knowledge-based expert system applied to Electricity distribution Network maintenance.


The expert system utilizes the Matlab® platform, using its proprietary Fuzzy Logic Toolbox. The inputs to the expert system are the different situations related to cost variables to and the implementation of one of the maintenance optimizing solutions pertaining to the Live Work-Redundancy-Simultaneity-Security model as defined by the maintenance unit during a the global life cycle of the equipment. The output of the system indicates the economic feasibility and benefit of the solution to be adopted of for our Maintenance model. Application of the expert system methodology is shown as a simulation.


The expert system may be of valuable assistance to utility engineers or asset managers in making strategic maintenance decisions such as “Economic solution”.

Keywords: Availability, Live work, Maintenance cost, Fuzzy logic, Decision aid, Deffuzzification.