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Logistics, Supply Chain and Financial Predictive Analytics - Theory and Practices (Paperback, Softcover reprint of the original 1st ed. 2019)
Loot Price: R5,197
Discovery Miles 51 970
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Logistics, Supply Chain and Financial Predictive Analytics - Theory and Practices (Paperback, Softcover reprint of the original 1st ed. 2019)
Series: Asset Analytics
Expected to ship within 10 - 15 working days
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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.
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