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) (KAR id:68430)
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Official URL: http://dx.doi.org/10.1007/978-981-13-0872-7 |
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 |
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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: |
Central Services > Research and Innovation Services Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Said Salhi |
Date Deposited: | 25 Jul 2018 15:58 UTC |
Last Modified: | 19 Sep 2023 15:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/68430 (The current URI for this page, for reference purposes) |
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