Abstract
Digital technologies play a critical role in streamlining the supply chain process and reducing operational time in service businesses, as demonstrated by the COVID-19 pandemic. Service providers may be able to do their tasks quickly and effectively if they digitize their processes. The goal of the project was to create an application that supported augmented reality (AR) for the order-picking process for a medical facility. Reducing order picking time is this study's secondary goal. Adobe Aero is used in the development of AR apps. Data for 278 observations during a month were analyzed in Minitab-21 using comparison groups. The order-picking process may be implemented using AR, according to the results, and there is a substantial difference in order-picking time after implementing the AR-supported model (p < 0,05; mean order-picking time before 0,64, after 0,45). In contrast to the traditional method, the box plot in the AR-supported model indicates that the data range is large and uniformly distributed. AR is a useful tool in the service supply chain for order picking. Order picking time is positively impacted by the AR-supported model.
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