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Production Engineering and Management under Fuzziness

  • Book
  • © 2010

Overview

Editors:
  1. Cengiz Kahraman

    1. Management Faculty, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

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  2. Mesut Yavuz

    1. Harry f. Byrd, Jr. School of Business, Shenandoah University, Winchester, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • fills an important gap at the intersection of fuzzy applications and production management
  • First book on fuzzy production engineering and management
  • Written by experts in the field

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 252)

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Table of contents (22 chapters)

  1. Front Matter

    Download chapter PDF

  2. Fuzzy and Grey Forecasting Techniques and Their Applications in Production Systems

    • Cengiz Kahraman, Mesut Yavuz, İhsan Kaya
    Pages 1-24

  3. Fuzzy Inventory Management

    • Mesut Yavuz
    Pages 25-38

  4. Fuzzy Material Requirement Planning

    • Josefa Mula, Raúl Poler
    Pages 39-57

  5. Fuzziness in JIT and Lean Production Systems

    • Mesut Yavuz
    Pages 59-75

  6. Fuzzy Lead Time Management

    • Mesut Yavuz
    Pages 77-94

  7. Manufacturing System Modeling Using Petri Nets

    • Cengiz Kahraman, Fatih Tüysüz
    Pages 95-124

  8. Fuzzy Technology in Advanced Manufacturing Systems: A Fuzzy-Neural Approach to Job Remaining Cycle Time Estimation

    • Toly Chen
    Pages 125-142

  9. Fuzzy Project Scheduling

    • Naïm Yalaoui, Frédéric Dugardin, Farouk Yalaoui, Lionel Amodeo, Halim Mahdi
    Pages 143-170

  10. Interval PERT and Its Fuzzy Extension

    • Didier Dubois, Jérôme Fortin, Paweł Zieliński
    Pages 171-199

  11. Fuzziness in Supply Chain Management

    • Péter Majlender
    Pages 201-247

  12. Fuzzy Simulation and Optimization of Production and Logistic Systems

    • L. Dymowa, P. Sevastjanov
    Pages 249-277

  13. Fuzzy Investment Planning and Analyses in Production Systems

    • Cengiz Kahraman, A. Çağrı Tolga
    Pages 279-298

  14. Fuzzy Production and Operations Budgeting and Control

    • Dorota Kuchta
    Pages 299-327

  15. Fuzzy Location Selection Techniques

    • Cengiz Kahraman, Selcuk Cebi, Fatih Tuysuz
    Pages 329-358

  16. Fuzziness in Materials Flow and Plant Layout

    • Kuldip Singh Sangwan
    Pages 359-380

  17. Fuzzy Cognitive Maps for Human Reliability Analysis in Production Systems

    • Massimo Bertolini, Maurizio Bevilacqua
    Pages 381-415

  18. Fuzzy Productivity Measurement in Production Systems

    • Semra Birgün, Cengiz Kahraman, Kemal Güven Gülen
    Pages 417-430

  19. Fuzzy Statistical Process Control Techniques in Production Systems

    • Cengiz Kahraman, Murat Gülbay, Nihal Erginel, Sevil Şentürk
    Pages 431-456

  20. Fuzzy Acceptance Sampling Plans

    • Cengiz Kahraman, İhsan Kaya
    Pages 457-481
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Keywords

About this book

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.

Editors and Affiliations

  • Management Faculty, Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  • Harry f. Byrd, Jr. School of Business, Shenandoah University, Winchester, USA

    Mesut Yavuz

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