Analytical Evaluation of the Life Cycle Cost of Repairable Products with a Bayesian Failure Model and the Exponential Quality Parameter

Analytical Evaluation of the Life Cycle Cost of Repairable Products with a Bayesian Failure Model and the Exponential Quality Parameter | 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 Analytical Evaluation of the Life Cycle Cost of Repairable Products with a Bayesian Failure Model and the Exponential Quality Parameter Mohammad Saber Fallahnezhad, Masoud Amini This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8819723/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 19 You are reading this latest preprint version Abstract This research focuses on modeling the Life Cycle Cost (LCC) of products under warranty, with a particular emphasis on the role of quality. In conventional LCC models, the impacts of quality on warranty costs, failures, and repairs are often incorporated in no accurate and quantitative manner; those models primarily focus only on the relationship between quality and reliability. To address this gap, the present study develops an integrated analytical model in which the quality function is defined as the product of a posterior distribution-based function and an exponential decrease function. The combination of these two components allows for the more precise modeling of uncertainty in operational data and the nonlinear effects of quality on warranty costs. According to the model analysis and a numerical study, the proposed framework yields a more realistic estimate of life cycle cost and significantly highlights the importance of investing in initial quality to reduce long-term warranty costs. Life cycle cost Warranty cost modeling Quality function Posterior distributions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 19 May, 2026 Reviewers agreed at journal 19 May, 2026 Reviews received at journal 16 May, 2026 Reviewers agreed at journal 16 May, 2026 Reviewers agreed at journal 15 May, 2026 Reviewers agreed at journal 14 May, 2026 Reviewers agreed at journal 14 May, 2026 Reviewers agreed at journal 14 May, 2026 Reviewers agreed at journal 14 May, 2026 Reviews received at journal 23 Mar, 2026 Reviewers agreed at journal 14 Mar, 2026 Reviewers agreed at journal 13 Mar, 2026 Reviewers agreed at journal 07 Mar, 2026 Reviewers agreed at journal 24 Feb, 2026 Reviewers invited by journal 18 Feb, 2026 Editor invited by journal 16 Feb, 2026 Editor assigned by journal 15 Feb, 2026 Submission checks completed at journal 14 Feb, 2026 First submitted to journal 14 Feb, 2026 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. 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