Multicriteria model conceived by Tomas L. Saaty in 1980. This gives a complete classification of alternatives using the principles of pairwise comparison, decomposition, and synthesis. Decision centres provide judgements based on a linguistic scale to determine the relative importance of the alternatives with regard to each of the criteria or between the criteria themselves.
Published in Chapter:
A Model for Assessing the Widening of the Predictive Maintenance Strategy
María Carmen Carnero (University of Castilla-La Mancha, Spain & University of Lisbon, Portugal) and Francisco Javier Cárcel-Carrasco (Universitat Politècnica de València, Spain)
Copyright: © 2021
|Pages: 23
DOI: 10.4018/978-1-7998-3246-1.ch008
Abstract
The essential aim of Industry 4.0 is to enable industries to be more productive, efficient, and flexible. A predictive maintenance strategy can make a positive contribution to all these things, as it uses industrial IoT technologies to monitor asset health, optimise maintenance schedules, provide real-time alerts about operational risks, and maximise uptime, and can provide digital services to customers based on data from its machines. It improves productivity, improves customer satisfaction, and therefore gives the company a competitive advantage. Nevertheless, decision making in relation to a predictive maintenance strategy is not systematised, and this may lead to some inappropriate decisions, which do not achieve the goal sought. This chapter describes a multicriteria model, designed with the analytic hierarchy process, to systematise decision making with respect to a predictive maintenance strategy.