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 Systems Engineering
  name:
    name part: Li, Jingshan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Meerkov, Semyon M.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXX, 666 p. 299 illus. online resource.
  abstract: Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design. This text, the first devoted exclusively to PSE, is intended for senior and first year graduate students interested in manufacturing, as well as engineers involved in the operation, management, and design of production systems. Drawing upon years of research and practical experience and using numerous examples and illustrations, Jingshan Li and Semyon Meerkov cover: Methods for mathematical modeling of production systems Techniques for designing continuous improvement projects with predictable results Quantitative methods for selecting lean buffering Rigorous techniques for identifying bottleneck machines and bottleneck buffers Product quality Methods for analysis of transient behavior of production lines Techniques for measurement-based management of production systems Numerous case studies which illustrate practical application of PSE techniques The PSE Toolbox, which implements the algorithms developed in the text A demo of the PSE Toolbox, which is useful as a learning tool for students and practicing engineers, can be found at www.ProductionSystemsEngineering.com .
  table of contents: BACKGROUND MATERIAL AND MATHEMATICAL MODELING. -- Mathematical Tools: Elements of Probability Theory -- Mathematical Modeling of Production Systems -- SERIAL PRODUCTION LINES WITH BERNOULLI MODEL OF MACHINE RELIABILITY. -- Analysis of Bernoulli Lines -- Continuous Improvement of Bernoulli Lines -- Design of Lean Bernoulli Lines -- Closed Bernoulli Lines -- Product Quality in Bernoulli Lines -- Customer Demand Satisfaction in Bernoulli Lines -- Transient Behavior of Bernoulli Lines -- SERIAL PRODUCTION LINES WITH CONTINUOUS TIME MODELS OF MACHINE RELIABILITY -- Analysis of Exponential Lines -- Analysis of Non-Exponential Lines -- Improvement of Continuous Lines -- Design of Lean Continuous Lines -- Customer Demand Satisfaction in Continuous Lines -- ASSEMBLY SYSTEMS -- Assembly Systems with Bernoulli Model of Machine Reliability -- Assembly Systems with Continuous Time Models of Machine Reliability -- SUMMARY, PSE TOOLBOX, AND PROOFS -- Summary of Main Facts of Production Systems Engineering -- PSE Toolbox -- Proofs.
  note: by Jingshan Li, Semyon M. Meerkov.
  subject:
    topic: Engineering
  subject:
    topic: Mathematical models
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Engineering
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: T55.4-60.8
  classification: 670
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387755793
  identifier: http://dx.doi.org/10.1007/978-0-387-75579-3
  record info:
    record creation date: 110402
    record change date: 20151204191746.0
    record identifier: 978-0-387-75579-3