Intelligent Techniques in Engineering Management: Theory and Applications

✍ Scribed by Cengiz Kahraman, Sezi Çevik Onar (eds.)

Publisher: Springer International Publishing
Year: 2015
Tongue: English
Leaves: 747
Series: Intelligent Systems Reference Library 87
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxv
Front Matter....Pages 1-1
Engineering Management and Intelligent Systems....Pages 3-18
Front Matter....Pages 19-19
Possibilistic Models of Risk Management....Pages 21-44
Likelihood Estimation of Intentional Events in Risk Management: Evidence Based Intelligent Morphological Analysis Approach....Pages 45-75
Front Matter....Pages 77-77
A Review on Intelligent Systems in Research and Development....Pages 79-106
Innovation Strategy Evaluation Process Using Fuzzy Cognitive Mapping....Pages 107-128
Knowledge Management: Intelligent In-pipe Inspection Robot Conceptual Design for Pipeline Infrastructure Management....Pages 129-146
Front Matter....Pages 147-147
Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration....Pages 149-172
Analyzing Dynamic Capabilities via Fuzzy Cognitive Maps....Pages 173-201
Using Data Envelopment Analysis and Fuzzy Logic as Intelligent Risk-Based Decision Making Support for Virtual Organizations....Pages 203-218
Front Matter....Pages 219-219
Intelligent Systems in Maintenance Planning and Management....Pages 221-245
Fuzzy Inventory Models for Deteriorating Items Under Different Types of Lead-Time Distributions....Pages 247-274
Optimization in Production Management: Economic Load Dispatch of Cyber Physical Power System Using Artificial Bee Colony....Pages 275-293
Intelligent Technologies and Systems of Material Management....Pages 295-330
Front Matter....Pages 331-331
Argumentative SOX Compliant and Intelligent Decision Support Systems for the Suppliers Contracting Process....Pages 333-375
Intelligent Systems in Managerial Decision Making....Pages 377-403
Front Matter....Pages 405-405
Intelligent Systems in Total Quality Management....Pages 407-430
Testing Fuzzy Quality in Engineering Management....Pages 431-447
Advanced Quality Control Systems Using Intelligent Modeling and Simulation Methods....Pages 449-480
Front Matter....Pages 481-481
Market Analysis Using Computational Intelligence: An Application for GSM Operators Based on Twitter Comments....Pages 483-501
Intelligent Classification-Based Methods in Customer Profitability Modeling....Pages 503-527
Front Matter....Pages 529-529
Intelligent Systems in Project Planning....Pages 531-557
A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement....Pages 559-579
Intelligent Systems in Project Performance Measurement and Evaluation....Pages 581-619
Front Matter....Pages 621-621
Multiple Experts Knowledge in Fuzzy Optimization of Logistic Networks....Pages 623-643
Intelligent Algorithms for Warehouse Management....Pages 645-667
Several Intelligent Techniques to Solve Various Warehouse Problems in Uncertain Environment....Pages 669-722
Application of Alternative Multi-criteria Decision Making Approaches to Supplier Selection Process....Pages 723-743
Back Matter....Pages 745-747

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory; Engineering Economics, Organization, Logistics, Marketing

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