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Intelligent Techniques in Engineering Management

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Cover of 'Intelligent Techniques in Engineering Management'

Table of Contents

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    Book Overview
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    Chapter 1 Engineering Management and Intelligent Systems
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    Chapter 2 Possibilistic Models of Risk Management
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    Chapter 3 Likelihood Estimation of Intentional Events in Risk Management: Evidence Based Intelligent Morphological Analysis Approach
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    Chapter 4 A Review on Intelligent Systems in Research and Development
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    Chapter 5 Innovation Strategy Evaluation Process Using Fuzzy Cognitive Mapping
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    Chapter 6 Knowledge Management: Intelligent In-pipe Inspection Robot Conceptual Design for Pipeline Infrastructure Management
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    Chapter 7 Artificial Intelligence Techniques in Human Resource Management—A Conceptual Exploration
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    Chapter 8 Analyzing Dynamic Capabilities via Fuzzy Cognitive Maps
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    Chapter 9 Using Data Envelopment Analysis and Fuzzy Logic as Intelligent Risk-Based Decision Making Support for Virtual Organizations
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    Chapter 10 Intelligent Systems in Maintenance Planning and Management
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    Chapter 11 Fuzzy Inventory Models for Deteriorating Items Under Different Types of Lead-Time Distributions
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    Chapter 12 Optimization in Production Management: Economic Load Dispatch of Cyber Physical Power System Using Artificial Bee Colony
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    Chapter 13 Intelligent Technologies and Systems of Material Management
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    Chapter 14 Argumentative SOX Compliant and Intelligent Decision Support Systems for the Suppliers Contracting Process
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    Chapter 15 Intelligent Systems in Managerial Decision Making
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    Chapter 16 Intelligent Systems in Total Quality Management
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    Chapter 17 Testing Fuzzy Quality in Engineering Management
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    Chapter 18 Advanced Quality Control Systems Using Intelligent Modeling and Simulation Methods
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    Chapter 19 Market Analysis Using Computational Intelligence: An Application for GSM Operators Based on Twitter Comments
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    Chapter 20 Intelligent Classification-Based Methods in Customer Profitability Modeling
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    Chapter 21 Intelligent Systems in Project Planning
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    Chapter 22 A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement
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    Chapter 23 Intelligent Systems in Project Performance Measurement and Evaluation
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    Chapter 24 Multiple Experts Knowledge in Fuzzy Optimization of Logistic Networks
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    Chapter 25 Intelligent Algorithms for Warehouse Management
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    Chapter 26 Several Intelligent Techniques to Solve Various Warehouse Problems in Uncertain Environment
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    Chapter 27 Application of Alternative Multi-criteria Decision Making Approaches to Supplier Selection Process
Overall attention for this book and its chapters
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Citations

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Title
Intelligent Techniques in Engineering Management
Published by
Springer International Publishing, May 2015
DOI 10.1007/978-3-319-17906-3
ISBNs
978-3-31-917905-6, 978-3-31-917906-3
Editors

Kahraman, Cengiz, Çevik Onar, Sezi

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 28%
Student > Bachelor 14 15%
Student > Ph. D. Student 13 14%
Researcher 8 8%
Student > Doctoral Student 7 7%
Other 9 9%
Unknown 18 19%
Readers by discipline Count As %
Engineering 28 29%
Business, Management and Accounting 20 21%
Computer Science 13 14%
Social Sciences 5 5%
Medicine and Dentistry 3 3%
Other 6 6%
Unknown 21 22%