
Production Engineering and Management under Fuzziness by Cengiz Kahraman
Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.-
Fuzzy Logic, Smart Control, and the Future of Essential Oils
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Uncertain Portfolio Selection
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Bipolar Complex Fuzzy Sets
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Representations for Genetic and Evolutionary Algorithms
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The Book of Dede Korkut and Fuzzy Logic
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Meandering Around Fuzziness
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Fuzzy Models in Economics
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Fuzzy Graph Theory
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Fuzzy Fractional Differential Operators and Equations
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Integrating Soft Computing into Strategic Prospective Methods
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FineKinney-Based Fuzzy Multi-criteria Occupational Risk Assessment
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Recent Developments and the New Directions of Research, Foundations, and Applications
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Intelligent Systems and Applications in Business and Finance
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Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain
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Recent Developments and the New Direction in Soft-Computing Foundations and Applications
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Fuzzy Mathematical Analysis and Advances in Computational Mathematics
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Decision Making with Spherical Fuzzy Sets
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Interval-Valued Methods in Classifications and Decisions
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How Fuzzy Concepts Contribute to Machine Learning
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Double Hierarchy Linguistic Term Set and Its Extensions
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Data Envelopment Analysis with R
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A General Theory of Entropy
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An Introduction to Analytical Fuzzy Plane Geometry
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More-for-Less Solutions in Fuzzy Transportation Problems
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Neutrosophic Paradigms: Advancements in Decision Making and Statistical Analysis
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Fuzzy Semirings with Applications to Automata Theory
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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems
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Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics
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Soft Computing for Reservoir Characterization and Modeling
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Fuzzy Optimization
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Fuzziness and Foundations of Exact and Inexact Sciences
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Soft Computing Applications in Optimization, Control, and Recognition
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Autonomous Robotic Systems
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Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences
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Fuzzy Cognitive Maps
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Soft Computing in XML Data Management
Professor Cengiz Kahraman is a full professor of Industrial Engineering at Istanbul Technical University. His research areas are engineering economics, quality management, statistical decision making, multicriteria decision making, and fuzzy decision making. He published about 260 journal papers and 200 conference papers. He is the editor of many international books from Springer and the editorial board member in 20 international journals. He is the Editor-in Chief of Journal of Fuzzy Logic and Modeling in Engineering published by Bentham Science. He is also the chair of INFUS (Intelligent and Fuzzy Systems) conferences.
Dr. Eda Bolturk received her BSc degree in Industrial Engineering from Istanbul Commerce University and her MSc degree in Industrial Engineering from Istanbul Technical University. She was a Ph.D. student at Politecnico di Milano in Energy Department in Italy between 2013 and 2014. She received her Ph.D. degree in Industrial Engineering from Istanbul Technical University on fuzzy decision making. Her research areas are fuzzy logic, decision making, forecasting and risk management. She published more than 50 papers in international journals and chapters in international books. She organized some international conferences on fuzzy logic.
Dr. Eda Bolturk received her BSc degree in Industrial Engineering from Istanbul Commerce University and her MSc degree in Industrial Engineering from Istanbul Technical University. She was a Ph.D. student at Politecnico di Milano in Energy Department in Italy between 2013 and 2014. She received her Ph.D. degree in Industrial Engineering from Istanbul Technical University on fuzzy decision making. Her research areas are fuzzy logic, decision making, forecasting and risk management. She published more than 50 papers in international journals and chapters in international books. She organized some international conferences on fuzzy logic.
| SKU | Unavailable |
| ISBN 13 | 9783642263378 |
| ISBN 10 | 3642263372 |
| Title | Production Engineering and Management under Fuzziness |
| Author | Cengiz Kahraman |
| Series | Studies In Fuzziness And Soft Computing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2012-06-28 |
| Number of pages | 605 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |



































