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Logistics, Supply Chain and Financial Predictive Analytics: Theory and Practices

Logistics, Supply Chain and Financial Predictive Analytics: Theory and Practices

Hardcover

Series: Asset Analytics

Business GeneralGeneral Mathematics

ISBN10: 9811308713
ISBN13: 9789811308710
Publisher: Springer Nature
Published: Aug 16 2018
Pages: 254
Weight: 1.20
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English

This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the supply demand reparation method and continuous allocation method. In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methodsfor medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a least cost ration formulation application for cattle; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves.

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