Development of a Resilient Low-Cost Digital Twin Framework for Real-Time Inventory Management: Volume I

Development of a Resilient Low-Cost Digital Twin Framework for Real-Time Inventory Management: Volume I | 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 Development of a Resilient Low-Cost Digital Twin Framework for Real-Time Inventory Management: Volume I Karthik .V.S This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9497840/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper presents the development of a low-cost, cyber-physical inventory management system, serving as Volume I of a multi-stage research project. The study focuses on the foundational prototype development and baseline system feasibility of utilizing sensor fusion and digital twin technology for MSME logistics. Initial iterations using standalone piezoelectric sensors identified a critical failure mode involving signal decay under static loads. To mitigate false detection and establish a reliable data foundation, a secondary LDR (Light Dependent Resistor)-based verification layer was integrated into a NodeMCU-based architecture. The framework is validated through a modular benchtop experimental setup synchronized with a 3D digital twin interface. While this phase establishes high-integrity data mirroring, a hypothesis for future optimization using 12-bit ADC platforms and predictive modeling is proposed as Volume II of this research. Mechanical Engineering Industry 5.0 Digital Twin IIoT Sensor Fusion NodeMCU Cyber-Physical Systems Inventory Management. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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