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

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

1st Edition 2019

Hardback (16 Aug 2018)

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Publisher's Synopsis

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 methods for 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.

The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction.


Book information

ISBN: 9789811308710
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Edition: 1st Edition 2019
Language: English
Number of pages: 254
Weight: 565g
Height: 235mm
Width: 155mm
Spine width: 16mm