Neutrosophic Model for Prioritizing Preventive Maintenance

Abstract

This article focuses on a key challenge within the field of information and communication technologies (ICT): how to accurately establish preventive maintenance needs to ensure their optimal functioning. The research aims to answer the question of how to identify and prioritize such needs in an environment where uncertainty and unpredictability play a crucial role. To address this issue, we employ a neutrosophic method, an innovative approach that integrates indeterminacy into the analysis. Although numerous studies have explored ICT maintenance, few have considered the ambiguity inherent in data and expert opinions, leaving a gap that this work seeks to fill with a more flexible and realistic perspective. The relevance of this topic becomes evident in a world increasingly dependent on ICT, where technical failures can cause costly interruptions or compromise essential services. Therefore, understanding and anticipating preventive maintenance demands is vital. The study employs the neutrosophic method to collect and analyze expert assessments, revealing key patterns regarding intervention priorities in these systems. The findings show that this technique allows for the detection of critical needs more effectively than conventional approaches. In terms of contributions, the work not only enriches theory by offering a robust framework for dealing with uncertainty but also provides practical solutions applicable to daily ICT management, thus promoting their long-term reliability and efficiency.