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: Effective Resource Management in Manufacturing Systems
    sub title: Optimization Algorithms for Production Planning
  name:
    name part: Caramia, Massimiliano.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Dell’Olmo, Paolo.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 216 p. online resource.
  abstract: Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus, classic scheduling approaches are not adequate when (i) a task simultaneously requires a set of different resources and (ii) a trade-off between different objectives (like time, cost and workload balance) should be reached. In such a case, more sophisticated models and algorithms should be brought to the attention of managers and executives of manufacturing companies. Effective Resource Management in Manufacturing Systems aims to provide robust methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns, specifically focusing on problems like resource levelling, sizing of machines and production layouts, cost optimization in production planning and scheduling. This approach is based on providing quantitative methods, covering both mathematical programming and algorithms, leading to high quality solutions for the analysed problems. Details of extensive experimentation is provided for the proposed techniques to put them in a practical perspective, so that, on the one hand, the reader can reproduce them, and, on the other hand, it appears clear how they can be implemented in real scenarios. This book will be a valuable resource for postgraduate students studying business, engineering or computer science. It will also be of interest to researchers in the fore-mentioned areas. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advance…
  table of contents: Manufacturing Systems: Trends, Classification, and Behavior Patterns -- On-Line Load Balancing -- Resource Levelling -- Scheduling Jobs in Robotized Cells with Multiple Shared Resources -- Tool Management on Flexible Machines.
  note: by Massimiliano Caramia, Paolo Dell’Olmo.
  subject:
    topic: Engineering
  subject:
    topic: Production management
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Manufacturing industries
  subject:
    topic: Machines
  subject:
    topic: Tools
  subject:
    topic: Engineering
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Manufacturing, Machines, Tools
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Management
  classification: T55.4-60.8
  classification: 670
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Advanced Manufacturing
  identifier: 9781846282270
  identifier: http://dx.doi.org/10.1007/1-84628-227-6
  record info:
    record creation date: 100301
    record change date: 20151204152250.0
    record identifier: 978-1-84628-227-0