£128.26

Springer Logistics, Supply Chain and Financial Predictive Analytics

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Description

Master complex data challenges with Logistics, Supply Chain and Financial Predictive Analytics: Theory and Practices. Published by Springer, this comprehensive guide addresses a wide range of problems found in financial analysis, logistics, and supply chain management. From the use of big data analytics in the banking sector to advanced mathematical modeling, this book provides the theoretical foundations and practical applications needed for modern industry professionals. Spanning twenty detailed chapters, the text covers essential contemporary topics such as co-operative and non-cooperative supply chain models for imperfect quality items with trade-credit financing. Readers can explore specialized algorithms, including a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem. The book also provides methods for determining initial, basic, and feasible solutions for transportation problems. This resource is designed for those seeking to apply predictive analytics to optimize operational efficiency and financial decision-making in high-stakes environments.

Key Features

Covers broad applications in financial analysis, logistics, and supply chain management for professional development.

Explores the practical use of big data analytics within the banking sector to solve modern financial problems.

Includes twenty chapters of detailed content ranging from supply chain models to portfolio management.

Provides advanced mathematical approaches such as non-dominated sorting water cycle algorithms.

Offers methods for determining initial, basic, and feasible solutions for complex transportation problems.

Examines co-operative and non-cooperative supply chain models involving trade-credit financing.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 December 2018
Listed Since
28 December 2018

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No barcode data available

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