With advent of the postepidemic era, the development of digital logistics operations management is imminent.Among the various logistics delivery methods, same-city delivery is chosen by the vast majority of customers for its timeliness and safety.Online ordering and delivery methods for same-city delivery are also gaining increasing attention from
Background: While multiple studies have assessed the trends of Medicare reimbursement for orthopedic total joint arthroplasty (TJA) surgeries, none have forecasted reimbursement in relatable per-hour figures.The purposes of this study are to examine trends of reimbursement for primary and revision TJA and translate forecasted primary TJA reimbursem
Intermittency are a common and challenging problem in demand forecasting.We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing methods in several directions.Our framework is based on extensions of well-established model-based meth
This research introduces an approach to visible spectroscopy leveraging image processing techniques and machine learning (ML) algorithms.The methodology involves calculating the hue value of an image and deriving the corresponding dominant wavelength.Initially, a six-degree polynomial regression supervised machine learning model is trained to estab