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Production Engineering and Management under Fuzziness

Author: Cengiz Kahraman

Publisher: Springer Science & Business Media

Published: 2010-05-19

Total Pages: 566

ISBN-13: 3642120512

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.

Supply Chain Management Under Fuzziness

Author: Cengiz Kahraman

Publisher: Springer

Published: 2014-02-15

Total Pages: 671

ISBN-13: 3642539394

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Supply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear programming, and fuzzy inference systems. The book covers both practical applications and new developments concerning these methods. This book offers an excellent resource for researchers and practitioners in supply chain management and logistics, and will provide them with new suggestions and directions for future research. Moreover, it will support graduate students in their university courses, such as specialized courses on supply chains and logistics, as well as related courses in the fields of industrial engineering, engineering management and business administration.

Intelligent Techniques in Engineering Management

Author: Cengiz Kahraman

Publisher: Springer

Published: 2015-05-05

Total Pages: 747

ISBN-13: 3319179063

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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.

Green Production Engineering and Management

Author: Carolina Machado

Publisher: Woodhead Publishing

Published: 2022-02-01

Total Pages: 258

ISBN-13: 012821239X

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Green Production Engineering and Management is an interdisciplinary collection of the latest advances from academia and industry on the management of production engineering in a green and responsible way. Background theory, methods, tools and techniques, and case study examples are all combined to make a complete guide for researchers, engineers, and managers. The interdisciplinary approach taken by this book allows a holistic understanding of a complex problem, helping readers with management backgrounds to better appreciate production engineering issues and vice versa. Themes such as social responsibility, green manufacturing, and productivity management are all tackled together, helping the reader see how they are all linked in the industrial environment, and how new advances in one field could lead to benefits in others. Through the interdisciplinary exchange of principles, strategies, models, methodologies, and applications, this book hopes to uncover new ways to manage, think, and understand organizations, making them more strategic and competitive in the markets where they are or which they seek to occupy in the near future. Includes case studies from industry, illustrating how the advances discussed can be applied in the real world. Covers the environmental regulations relevant to green production and will help readers find better ways to meet them. Draws on research from several different disciplines to help readers discover innovative solutions to complex problems.

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Author: Anna Burduk

Publisher: Springer

Published: 2017-08-16

Total Pages: 470

ISBN-13: 3319644653

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The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Fuzzy Control of Industrial Systems

Author: Ian S. Shaw

Publisher: Springer

Published: 2013-12-20

Total Pages: 205

ISBN-13: 1475728131

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Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system. Included are generic aspects of fuzzy systems with an emphasis on the many degrees of freedom and its practical design implications, modeling and systems identification techniques based on fuzzy rules, parametrized rules and relational equations, and the principles of adaptive fuzzy and neurofuzzy systems. Practical design aspects of fuzzy controllers are covered by the detailed treatment of fuzzy and neurofuzzy software design tools with an emphasis on iterative fuzzy tuning, while novel stability limit testing methods and the definition and practical examples of the new concept of collaborative control systems are also given. In addition, case studies of successful applications in industrial automation, process control, electric power technology, electric traction, traffic engineering, wastewater treatment, manufacturing, mineral processing and automotive engineering are also presented, in order to assist industrial control systems engineers in recognizing situations when fuzzy and neurofuzzy would offer certain advantages over traditional methods, particularly in controlling highly nonlinear and time-variant plants and processes.

Advanced Fuzzy Logic Approaches in Engineering Science

Author: Ram, Mangey

Publisher: IGI Global

Published: 2018-09-14

Total Pages: 488

ISBN-13: 1522557105

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Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Intelligent Systems in Production Engineering and Maintenance

Author: Anna Burduk

Publisher: Springer

Published: 2018-07-31

Total Pages: 785

ISBN-13: 3319974904

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The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Advances in Industrial and Production Engineering

Author: Rakesh Kumar Phanden

Publisher: Springer Nature

Published: 2021-03-21

Total Pages: 976

ISBN-13: 9813343206

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This book comprises the select proceedings of the 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. In particular, this volume discusses different topics of industrial and production engineering such as sustainable manufacturing processes, logistics, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as industry professionals.

Fuzzy Engineering Expert Systems with Neural Network Applications

Author: Adedeji Bodunde Badiru

Publisher: John Wiley & Sons

Published: 2002-10-08

Total Pages: 313

ISBN-13: 0471275344

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Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.