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: Proceedings of the International Symposium for Production Research 2018
  name:
    name part: Durakbasa, Numan M.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Gencyilmaz, M. Günes.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 963 p. 332 illus. online resource.
  abstract: The conference aims at forming a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer aided manufacturing, industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, supply chain management.
  table of contents: RSM and Neural Network Modeling of Surface Roughness During Turning Hard Steel -- A Data Mining Approach to Predict E-Commerce Customer Behaviour -- Data Mining in Digital Marketing -- A Multimoora Method Application With Einstein Interval Valued Fuzzy Numbers' Operator -- Analysis of the Impact of Ball Bearing Track Waviness on their Frictional Moment -- Application of Wavelet Transform to Determine Surface Texture Constituents.
  note: edited by Numan M. Durakbasa, M. Günes Gencyilmaz.
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Industrial and Production Engineering
  classification: T55.4-60.8
  classification: 670
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319922676
  identifier: https://doi.org/10.1007/978-3-319-92267-6
  record info:
    record creation date: 180814
    record change date: 20191027131328.0
    record identifier: 978-3-319-92267-6