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: Average—Cost Control of Stochastic Manufacturing Systems
  name:
    name part: Sethi, Suresh P.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zhang, Hanqin.
    role:
      role term: author.
  name:
    name part: Zhang, Qing.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 324 p. online resource.
  abstract: This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales. .
  table of contents: and Models of Manufacturing Systems -- Concept of Near—Optimal Control -- Models of Manufacturing Systems -- Optimal Control of Manufacturing Systems: Existence and Characterization -- Optimal Control of Parallel—Machine Systems -- Optimal Control of Dynamic Flowshops -- Optimal Controls of Dynamic Jobshops -- Risk-Sensitive Control -- Near—Optimal Controls -- Near—Optimal Control of Parallel—Machine Systems -- Near—Optimal Control of Dynamic Flowshops -- Near—Optimal Controls of Dynamic Jobshops -- Near—Optimal Risk—Sensitive Control -- Conclusions -- Further Extensions and Open Research Problems.
  note: by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.
  subject:
    topic: Business
  subject:
    topic: Leadership
  subject:
    topic: Production management
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: System theory
  subject:
    topic: Probabilities
  subject:
    topic: Business and Management
  subject:
    topic: Operations Management
  subject:
    topic: Business Strategy/Leadership
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Operation Research/Decision Theory
  classification: TS155-TS194
  classification: 658.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Stochastic Modelling and Applied Probability, 54
  identifier: 9780387276151
  identifier: http://dx.doi.org/10.1007/0-387-27615-7
  record info:
    record creation date: 100301
    record change date: 20151204173926.0
    record identifier: 978-0-387-27615-1