Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model

Nima Golghamat Raad,Naser Mollaverdi Isfahani

doi:10.5267/j.ijdns.2019.12.001

Nima Golghamat Raad, Naser Mollaverdi Isfahani

Open Access

https://doi.org/10.5267/j.ijdns.2019.12.001

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Abstract

Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model

Highlights

Building managers need a decision support system to select a maintenance contractor
The SHELL model is one of the most well-known models for identifying risks associated with human factors in aircraft maintenance
Ten general criteria for contractor selection were selected based on the Shell model, and ten contractors who were nominated to manage hospital maintenance were compared with these criteria

Summary

Introduction

Building managers need a decision support system to select a maintenance contractor. The task of selecting maintenance contractors is one of the most economically, socially and technically complex decisionmaking processes. The building maintenance costs will be very lower if a building has a reliable maintenance plan which is devised and executed by an expert contractor. These costs justify the existence of a maintenance plan. An expert maintenance contractor can increase the level of maturity of the maintenance system, decline the maintenance risks significantly, in addition to optimizing the costs. Choosing an incompetent contractor will increase costs and reduce the quality of service and reduce the comfort of residents or clients of the building and may even endanger their lives

Objectives

Methods

Findings

Conclusion