20.500.12556/DKUM-97102 Impact of agile, condition-based maintenance strategy on cost efficiency of production systems Maintenance plays an increasingly important role in the life of production companies, as professional maintenance is an important prerequisite for the reliable operation of resources. A well-chosen maintenance strategy can make a major contribution to increased efficiency of production processes. The main goal of this research is to propose a novel optimization approach to define optimal maintenance strategy that ensures the efficient operation of the production process while reducing maintenance costs. The developed optimization method is based on Howard’s policy iteration and describes the objective of the planning as a Markov decision process. The novelty and the scientific contribution of the presented study is the application of Howard’s policy iteration methodology in a Markov decision process for agile, condition-based maintenance strategy optimization. As the results of the numerical analysis of the scenarios shows, the implementation of an optimized maintenance strategy based on the proposed approach can significantly increase the maintenance efficiency of the production process. The main reason for this is that the level and type of maintenance is always implemented depending on the current state of the system components, which reduces both the maintenance cost and the losses due to production downtime. agile maintenance strategy productivity process control Markov decision process maintenance strategy optimization smart manufacturing vzdrževanje strategija vzdrževanja učinkovitost proizvodnja proizvodni proces stroški vzdrževanja strategija optimizacije računska analiza true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/ Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Članek v reviji 2026-02-18 07:17:27 2026-02-18 07:17:30 2026-02-19 03:12:02 0000-00-00 00:00:00 2023 0 0 str. 317-326 no. 3 Vol. 18 Sep. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-05-09 2023-11-13 2023-11-19 658.51 268790787 10.14743/apem2023.3.475 1854-6250 APEM18-3_317-326.pdf APEM18-3_317-326.pdf 1 0187839B6E2FF192A0163F470E5506B1 ce674d6e20d919475fc7d5d5efa03ac891011296d3e1ae09c807f56122a8769a bfffb0ca-0c91-11f1-8b1a-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203436 https://apem-journal.org/Archives/2023/APEM18-3_317-326.pdf 0 cb50ece8-0c91-11f1-8b1a-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203437 Fakulteta za strojništvo Advances in production engineering & management 0 0 0