Impact of digital transformation on inventory management: application of the weighted average method at innovar dotaciones company
DOI:
https://doi.org/10.64183/2ydq1z43Keywords:
Digital Twins, IoT (Internet of Things), RPA/ERP, RFID System, Scrum Master, Process Robotics, Machine Learning (ML), Emulations, BlockchainAbstract
The current pace of technological advancement necessitates the reorganization of structural frameworks across all commercial activities—whether financial, business-related, or otherwise—demanding faster, more accurate, efficient, and timely results. It is essential to configure and parameterize information systems to ensure transparency and data accuracy in the decision-making process. The implementation of automated models and emerging technologies, such as the Internet of Things (IoT), has become indispensable. In the context of automation, digital twins stand out as a powerful tool. This technological implementation significantly supports production lines and inventory management systems. By leveraging these tools, organizations can achieve greater competitiveness in global markets. In business, every unit of currency counts, and mistakes are costly. For a company like Innovar Dotaciones, adopting digital twins and advanced inventory management systems is crucial. A digital twin—a virtual replica or simulation of a physical system or object—enables the simulation of behaviors, data analysis, and real-time monitoring of operations within a virtualized environment. Due to its practicality, a digital twin serves as a testing platform for new strategies and solutions without altering the original physical system. It delivers accurate, real-time information, enabling early problem detection and performance optimization. This leads to continuous improvement without risking failed investments or production errors.
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