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Springer Circular Economy Supply Chains Data Science Book

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Description

Address the rising tide of waste and environmental threats with this specialized text from Springer. Circular Economy Supply Chains: Optimizing via Data Science explores how to move away from the traditional take-make-dispose model. This book provides a look into a transformative approach that prioritizes sustainable practices throughout a product lifecycle. By focusing on reuse, recycling, and regeneration, the content explains how to develop robust and closed loop supply chains. Readers will learn how to keep resources in use for as long as possible to minimize waste and environmental impact. This resource is an essential addition for those studying computational intelligence methods and their applications in modern resource management.

Key Features

This Springer publication examines the transition from traditional take-make-dispose models to sustainable circular economy systems.

The text covers methods for promoting reuse, recycling, and regeneration throughout a product's entire lifecycle.

Learn how to develop robust, closed loop supply chains to keep resources in use for longer periods.

Explore the application of data science and computational intelligence to minimize waste and environmental impact.

This book provides technical insights into optimizing supply chains to address modern environmental threats.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 January 2026
Listed Since
26 April 2025

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