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: Intelligent Decision-making Models for Production and Retail Operations
  name:
    name part: Guo, Zhaoxia.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 324 p. 84 illus. online resource.
  abstract: This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.
  table of contents: From the Contents: Introduction -- Fundamentals of intelligent decision-making techniques -- An intelligent decision-making framework for production planning and control -- An intelligent optimization model for order scheduling at factory level.
  note: by Zhaoxia Guo.
  subject:
    topic: Engineering
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Management science
  subject:
    topic: Computational intelligence
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Engineering
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Computational Intelligence
  classification: T55.4-60.8
  classification: 670
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783662526811
  identifier: http://dx.doi.org/10.1007/978-3-662-52681-1
  record info:
    record creation date: 160627
    record change date: 20160627173756.0
    record identifier: 978-3-662-52681-1