Table of contents
About this book
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 nineteen 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.
Cost Optimization Finacial Marketing Logistics Analyics Stock Price Forcasting Supply Chain and Inventory Management
Editors and affiliations
- DOI https://doi.org/10.1007/978-981-13-0872-7
- Copyright Information Springer Nature Singapore Pte Ltd. 2019
- Publisher Name Springer, Singapore
- eBook Packages Business and Management
- Print ISBN 978-981-13-0871-0
- Online ISBN 978-981-13-0872-7
- Series Print ISSN 2522-5162
- Series Online ISSN 2522-5170
- Buy this book on publisher's site