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

Deep, Kusum and Jain, Madhu and Salhi, Said, eds. (2019) Logistics, Supply Chain and Financial Predictive Analytics: Theory and Practice. Asset Analytics . Springer, Singapore, Singapore, 254 pp. ISBN 978-981-1308-71-0. E-ISBN 978-981-1308-72-7. (doi:10.1007/978-981-13-0872-7) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

Abstract

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. Lifelong 40%

Item Type:	Edited book
DOI/Identification number:	10.1007/978-981-13-0872-7
Uncontrolled keywords:	analytics, logistics, supply chain, finance
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Faculties > Social Sciences > Kent Business School Faculties > Social Sciences > Kent Business School > Management Science Central Services > Research Services Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User:	Said Salhi
Date Deposited:	25 Jul 2018 15:58 UTC
Last Modified:	29 May 2019 20:57 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/68430 (The current URI for this page, for reference purposes)