Decision-making through a fuzzy hybrid AI system for selection of a third-party operations and maintenance provider

David Bigaud, François Thibault and Laurent Gobert

International Journal of Multicriteria Decision Making, 2016, vol. 6, issue 1, 35-65

Abstract: With the outsourcing and the increasing demand of facilities management services, we observe the growing of multi-technical contracts in real estate operations and maintenance (O%M). Selection of one or more contractors is actually complex and important financial and quality of service challenges depend on it. The present paper proposes a multiple-criteria decision-making tool whose objective is to predict contractors' performances and to select the one who can best respond to O%M demands. In order to build the heuristic between technical, commercial and quality criteria and the expected performances, a neuro-fuzzy system (NFS) associated with a hybrid and adaptive genetic algorithms (GA) method has been developed. Important problems are considered: data pre-processing, problem of data scarcity to provide a sufficient number of data to the NFS and optimisation of hybridisation or adaptation parameters for GA. A case study, concerning the clients' satisfaction levels for O%M contractors as a final indicator for decision-making will prove the relevance of this approach.

Keywords: outsourcing; facilities management services; multi-technical contracts; real estate O%M; operations; maintenance; O%M contractors; quality measurement; fuzzy logic; neural networks; genetic algorithms; multicriteria decision making; MCDM; contractor performance. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=75630 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmcdm:v:6:y:2016:i:1:p:35-65

Access Statistics for this article

More articles in International Journal of Multicriteria Decision Making from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().