£109.09

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£109 today · all-time low £109 (Aug 2026) · usually £109

Springer Intelligent Techniques in Engineering Management - Theory & Applications

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Description

This comprehensive guide explores intelligent techniques applied to engineering management, combining classical management theory with modern computational methods. The book covers neural networks, fuzzy sets, Tabu search, genetic algorithms and other advanced approaches for solving complex engineering management problems. Written for engineering managers, postgraduate students, researchers and academic lecturers, it bridges traditional management concepts with practical intelligent systems applications. Each chapter demonstrates how these techniques address real-world challenges in engineering operations, decision-making and resource optimisation. Part of the Intelligent Systems Reference Library series, this volume provides both theoretical foundations and practical case studies that make intelligent methodologies accessible and implementable for professionals seeking to improve management effectiveness through data-driven and algorithmic solutions.

Key Features

Covers multiple intelligent techniques including neural networks, fuzzy sets, Tabu search and genetic algorithms for engineering management applications.

Designed for engineering managers, postgraduate students, researchers and university lecturers seeking to apply advanced computational methods.

Integrates classical engineering management principles with modern intelligent systems approaches to solve practical business problems.

Part of Springer's Intelligent Systems Reference Library series, providing authoritative research and theoretical grounding.

Combines theory with real-world applications, demonstrating how intelligent techniques improve decision-making and operational efficiency in engineering environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 October 2016
Listed Since
29 September 2016

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