Optimization of preventive maintenance of multi-component mechanical systems by genetic algorithms: case of the ammonia unit turbo-compressors – FERTIAL

Optimization of preventive maintenance of multi-component mechanical systems by genetic algorithms: case of the ammonia unit turbo-compressors – FERTIAL | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Optimization of preventive maintenance of multi-component mechanical systems by genetic algorithms: case of the ammonia unit turbo-compressors – FERTIAL Hadibi Abdelhak, Sabiha Tekili, Karmi Yacine, Khadri Youcef This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7500683/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Feb, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 4 You are reading this latest preprint version Abstract The supervision of the maintenance of industrial facilities, especially the expenses related to the application of preventive strategies, is extremely fascinating because of the rising relevance of this service in the production chains. This article represents a model of periodic preventive maintenance policy (fixed period/ variable period) based on the concept of reducing the age of the components of a system. So that, three maintenance activities can be applied to components, simple preventive maintenance action, preventive revisions and preventive replacement. The combination of optimum activities entails determining the preventive maintenance actions and intervals necessary for them on each stage using genetic algorithms. The objective is therefore to determine the activities and the optimal interval at each preventive maintenance step, increasing the lifetime of a system subjected to degradation, considering the maintenance cost for the three types of activities and the minimum repair costs for each preventive maintenance step. In this work, we applied the optimization technique by the genetic algorithm in order not only to minimize the cost of one of the preventive maintenance policies, but also to optimize the activities of a multi-component system. The optimal activities and intervention interval that maximize the life of the system in unit of cost at each preventive maintenance stage can be determined using genetic algorithms, thus, preventive maintenance planning will be determined from one stage to the next until the life in units of maintenance cost is less than its life at disposal. Optimization Preventive maintenance Multi-component Genetic algorithms Reliability Full Text Cite Share Download PDF Status: Published Journal Publication published 24 Feb, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Reviewers agreed at journal 10 Sep, 2025 Reviewers invited by journal 10 Sep, 2025 Editor assigned by journal 09 Sep, 2025 First submitted to journal 06 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7500683","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":513142415,"identity":"578b0051-ecaf-42c1-ba88-3b96bebc7097","order_by":0,"name":"Hadibi Abdelhak","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Hadibi","middleName":"","lastName":"Abdelhak","suffix":""},{"id":513142416,"identity":"4b8bd412-e84e-4d2b-abb9-6b4290008f5d","order_by":1,"name":"Sabiha Tekili","email":"data:image/png;base64,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","orcid":"","institution":"University of Badji Mokhtar Annaba: Universite Badji Mokhtar Annaba","correspondingAuthor":true,"prefix":"","firstName":"Sabiha","middleName":"","lastName":"Tekili","suffix":""},{"id":513142417,"identity":"be32b055-635c-4e6e-baa1-3aada9620edd","order_by":2,"name":"Karmi Yacine","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Karmi","middleName":"","lastName":"Yacine","suffix":""},{"id":513142418,"identity":"0b5a0f80-edfc-486b-b92f-2c803efd1ffe","order_by":3,"name":"Khadri Youcef","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Khadri","middleName":"","lastName":"Youcef","suffix":""}],"badges":[],"createdAt":"2025-08-31 13:01:49","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7500683/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7500683/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00170-026-17543-6","type":"published","date":"2026-02-24T15:58:42+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":103765778,"identity":"22d4352c-ecf0-4622-abc6-4c72e03294f9","added_by":"auto","created_at":"2026-03-02 16:09:01","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":865505,"visible":true,"origin":"","legend":"","description":"","filename":"ArticleHADIBIetal.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7500683/v1_covered_5fc026a0-182e-437f-8ca4-410278680c57.pdf"}],"financialInterests":"","formattedTitle":"Optimization of preventive maintenance of multi-component mechanical systems by genetic algorithms: case of the ammonia unit turbo-compressors – FERTIAL","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Optimization, Preventive maintenance, Multi-component, Genetic algorithms, Reliability","lastPublishedDoi":"10.21203/rs.3.rs-7500683/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7500683/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe supervision of the maintenance of industrial facilities, especially the expenses related to the application of preventive strategies, is extremely fascinating because of the rising relevance of this service in the production chains. 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