Evaluating the Model of Preventive Maintenance with Time Shifts: A Stochastic Petri Nets Approach

Hristoski, Ilija (2025) Evaluating the Model of Preventive Maintenance with Time Shifts: A Stochastic Petri Nets Approach. New Technologies, Development and Application VIII (Lecture Notes in Networks and Systems 1482), Vol. 1. pp. 590-601. ISSN 2367-3370

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Abstract

In the Industry 4.0 era, preventive maintenance plays a crucial role in ensuring system reliability and minimizing downtime. Among others, the key reasons include integration of smart technologies, increased system complexity, cost reduction, enhanced productivity and efficiency, and regulatory compliance and safety. In this context, this paper evaluates a Deterministic and Stochastic Petri Net (DSPN) model of a generic system experiencing alternating failures and repairs while undergoing preventive maintenance at regular intervals. Unlike traditional models, the proposed approach incorporates time shifts, where each failure and subsequent repair reset the countdown to the next preventive maintenance. The DSPN framework captures the stochastic nature of failures and repairs alongside deterministic scheduling constraints. Performance evaluation focuses on system availability under two scenarios: a low availability system and a high availability system. The results provide insights into how time-shifted preventive maintenance strategies impact long-term system performance. This study contributes to the overall body of knowledge about optimizing maintenance policies by balancing preventive interventions and corrective actions, supporting enhanced operational efficiency in industrial systems.

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions:	Faculty of Economics
Depositing User:	Prof. Dr. Ilija Hristoski
Date Deposited:	13 Nov 2025 17:34
Last Modified:	13 Nov 2025 17:34
URI:	https://eprints.uklo.edu.mk/id/eprint/11175

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