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Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management

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Logistics, Supply Chain and Financial Predictive Analytics - Theory and Practices (Hardcover, 1st ed. 2019) Loot Price: R5,108
Discovery Miles 51 080
Logistics, Supply Chain and Financial Predictive Analytics - Theory and Practices (Hardcover, 1st ed. 2019): Kusum Deep, Madhu...

Logistics, Supply Chain and Financial Predictive Analytics - Theory and Practices (Hardcover, 1st ed. 2019)

Kusum Deep, Madhu Jain, Said Salhi

Series: Asset Analytics

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Loot Price R5,108 Discovery Miles 51 080 | Repayment Terms: R479 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Asset Analytics
Release date: August 2018
First published: 2019
Editors: Kusum Deep • Madhu Jain • Said Salhi
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 254
Edition: 1st ed. 2019
ISBN-13: 978-981-13-0871-0
Categories: Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 981-13-0871-3
Barcode: 9789811308710

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