rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Production Engineering and Management under Fuzziness
  name:
    name part: Kahraman, Cengiz.
    role:
      role term: editor.
  name:
    name part: Yavuz, Mesut.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 605 p. 151 illus. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Cengiz Kahraman, Mesut Yavuz.
  subject:
    topic: Business
  subject:
    topic: Production management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Business and Management
  subject:
    topic: Operations Management
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Industrial and Production Engineering
  classification: TS155-TS194
  classification: 658.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 252
  identifier: 9783642120527
  identifier: http://dx.doi.org/10.1007/978-3-642-12052-7
  record info:
    record creation date: 100517
    record change date: 20151204183045.0
    record identifier: 978-3-642-12052-7