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: Introduction to Cutting and Packing Optimization
    sub title: Problems, Modeling Approaches, Solution Methods
  name:
    name part: Scheithauer, Guntram.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 410 p. 127 illus. online resource.
  abstract: This book provides a comprehensive overview of the most important and frequently considered optimization problems concerning cutting and packing. Based on appropriate modeling approaches for the problems considered, it offers an introduction to the related solution methods. It also addresses aspects like performance results for heuristic algorithms and bounds of the optimal value, as well as the packability of a given set of objects within a predefined container. The problems discussed arise in a wide variety of different fields of application and research, and as such, the fundamental knowledge presented in this book make it a valuable resource for students, practitioners, and researchers who are interested in dealing with such tasks.
  table of contents: Modeling -- Knapsack Problems -- One-Dimensional Bin Packing -- One-Dimensional Cutting Stock -- Orthogonal Packing Feasibility, Two-Dimensional Knapsack Problems -- Optimal Guillotine Cutting -- Packing Rectangles into a Strip -- Two-Dimensional Bin Packing -- Quality Restrictions -- Pallet Loading -- Container Loading -- Packing of Polygonal Pieces -- Circle and Sphere Packing. .
  note: by Guntram Scheithauer.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Mathematical optimization
  subject:
    topic: Business logistics
  subject:
    topic: Discrete mathematics
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Optimization
  subject:
    topic: Logistics
  subject:
    topic: Discrete Mathematics
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 263
  identifier: 9783319644035
  identifier: https://doi.org/10.1007/978-3-319-64403-5
  record info:
    record creation date: 171024
    record change date: 20191026101402.0
    record identifier: 978-3-319-64403-5