Intelligent Techniques in Engineering Management: Theory and Applications

Author:   Cengiz Kahraman ,  Sezi Çevik Onar
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   87
ISBN:  

9783319343600


Pages:   747
Publication Date:   09 October 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Intelligent Techniques in Engineering Management: Theory and Applications


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Overview

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

Full Product Details

Author:   Cengiz Kahraman ,  Sezi Çevik Onar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Volume:   87
Dimensions:   Width: 15.50cm , Height: 3.90cm , Length: 23.50cm
Weight:   1.567kg
ISBN:  

9783319343600


ISBN 10:   3319343602
Pages:   747
Publication Date:   09 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Engineering Management and Intelligent Systems.- Risk Management.- Knowledge management.- Intelligent systems in Management.- Production Management.- Economical and Financial Management.- Quality Management.- Marketing and Sales Management.- Project Management.- Supply chain management.

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