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Saturday, May 2, 2020 | History

6 edition of Mathematics of stochastic manufacturing systems found in the catalog.

Mathematics of stochastic manufacturing systems

AMS-SIAM Summer Seminar in Applied Mathematics, June 17-22, 1996, Williamsburg, Virginia

by AMS-SIAM Summer Seminar in Applied Mathematics (26th 1996 Williamsburg, Va.)

  • 12 Want to read
  • 28 Currently reading

Published by American Mathematical Society in Providence, R.I .
Written in English

    Subjects:
  • Production control -- Statistical methods -- Congresses,
  • Production management -- Statistical methods -- Congresses

  • Edition Notes

    StatementG. George Yin, Qing Zhang, editors.
    SeriesLectures in applied mathematics,, v. 33, Lectures in applied mathematics (American Mathematical Society) ;, v. 33.
    ContributionsYin, George, 1954-, Zhang, Qing, 1959-
    Classifications
    LC ClassificationsTS155.8.A48 1996
    The Physical Object
    Paginationxii, 399 p. :
    Number of Pages399
    ID Numbers
    Open LibraryOL666502M
    ISBN 100821807552
    LC Control Number97012175

    Stochastic Process Book Recommendations? I'm looking for a recommendation for a book on stochastic processes for an independent study that I'm planning on taking in the next semester. Something that doesn't go into the full blown derivations from a measure theory point of view, but still gives a thorough treatment of the subject.


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Mathematics of stochastic manufacturing systems by AMS-SIAM Summer Seminar in Applied Mathematics (26th 1996 Williamsburg, Va.) Download PDF EPUB FB2

A comprehensive exploration of stochastic models of a wide range of different types of manufacturing systems -- flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular by: Manufacturing systems rarely perform exactly as expected and predicted.

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Melsa. out of 5 stars /5(8). This volume presents the proceedings of the 26th AMS-SIAM Summer Seminar in Applied Mathematics, “The Mathematics of Stochastic Manufacturing Systems”, held in June at the College of William and Mary (Williamsburg, VA). Manufacturing is facing rapidly growing challenges in the global marketplace.

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Ina former student, one of the best I had taught, approached me with a. We present a stochastic model of make-to-stock firms based on a buffer flow system with jumps. The cumulative production and the cumulative demand are governed by two Poisson counting processes with random intensities parameterized by production capacity and price by:   Most manufacturing systems are large, complex, and operate in an environment of uncertainty.

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ISBN: OCLC Number: Description: XV, p. ; 24 cm. Contents: Preface * Notation * Part I: Introduction and Models of Manufacturing Systems * Concepts of Near-Optimal Control * Models of Manufacturing Systems * Part II: Optimal Control of Manufacturing Systems: Existence and Characterization * Optimal Control of Parallel Machine.

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Preface * Notation * Part I: Introduction and Models of Manufacturing Systems * Concepts of Near-Optimal Control * Models of Manufacturing Systems * Part II: Optimal Control of Manufacturing Systems: Existence and Characterization * Optimal Control of Parallel Machine Systems * Optimal Control of Dynamic Flowshops * Optimal Controls of Jobshops * Risk.

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