Logistics, Supply Chain and Financial Predictive Analytics

Discover the essential insights into the world of logistics and supply chain management with Logistics, Supply Chain and Financial Predictive Analytics by Kusum Deep. Published by Springer Verlag in 2018, this comprehensive paperback edition spans 254 pages, offering a deep dive into innovative predictive analytics techniques. The book explores critical methodologies for solving transportation problems, including the “supply demand reparation method” and “continuous allocation method.” Furthermore, it provides a thorough comparative analysis of exponential smoothing and the ARIMA model specifically focused on fuel prices. Perfect for professionals and students alike, this title is a valuable resource for anyone looking to enhance their understanding of financial forecasting within the logistics and supply chain sectors. Don’t miss out on this opportunity to elevate your knowledge and skills in predictive analytics.