Production Engineering and Management under Fuzziness [electronic resource] /
Kahraman, Cengiz.editor.
Yavuz, Mesut.editor.
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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Fuzzy and Grey Forecasting Techniques and Their Applications in Production Systems -- Fuzzy Inventory Management -- Fuzzy Material Requirement Planning -- Fuzziness in JIT and Lean Production Systems -- Fuzzy Lead Time Management -- Manufacturing System Modeling Using Petri Nets -- Fuzzy Technology in Advanced Manufacturing Systems: A Fuzzy-Neural Approach to Job Remaining Cycle Time Estimation -- Fuzzy Project Scheduling -- Interval PERT and Its Fuzzy Extension -- Fuzziness in Supply Chain Management -- Fuzzy Simulation and Optimization of Production and Logistic Systems -- Fuzzy Investment Planning and Analyses in Production Systems -- Fuzzy Production and Operations Budgeting and Control -- Fuzzy Location Selection Techniques -- Fuzziness in Materials Flow and Plant Layout -- Fuzzy Cognitive Maps for Human Reliability Analysis in Production Systems -- Fuzzy Productivity Measurement in Production Systems -- Fuzzy Statistical Process Control Techniques in Production Systems -- Fuzzy Acceptance Sampling Plans -- Fuzzy Process Capability Analysis and Applications -- Fuzzy Measurement in Quality Management Systems -- Fuzzy Real Options Models for Closing/Not Closing a Production Plant.
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.
Production management.
Control engineering.
Robotics.
Mechatronics.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Industrial engineering.
Production engineering.
Operations Management.
Control, Robotics, Mechatronics.
Artificial Intelligence.
Mathematical and Computational Engineering.
Industrial and Production Engineering.
Studies in fuzziness and soft computing