Skip to content
Register Sign in Wishlist

Stochastic Scheduling
Expectation-Variance Analysis of a Schedule


  • Date Published: January 2014
  • availability: Available
  • format: Paperback
  • isbn: 9781107637900

£ 53.99

Add to cart Add to wishlist

Other available formats:
Hardback, eBook

Looking for an inspection copy?

This title is not currently available on inspection

Product filter button
About the Authors
  • Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.

    • Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation
    • Analyzes variability of a schedule, in a stochastic environment, where the processing time of a job is not known with certainty
    • This text presents algorithms to determine variability of a schedule under various machine configurations and objective functions
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: January 2014
    • format: Paperback
    • isbn: 9781107637900
    • length: 208 pages
    • dimensions: 254 x 178 x 11 mm
    • weight: 0.37kg
    • contains: 30 b/w illus. 43 tables
    • availability: Available
  • Table of Contents

    1. Introduction
    2. Robust scheduling approaches to hedge against processing time uncertainty
    3. Expectation-variance analysis in stochastic multi-objective scheduling
    4. Single machine models
    5. Flow shop models
    6. Job shop models
    7. The case of general processing time distribution
    8. Concluding remarks.

  • Resources for

    Stochastic Scheduling

    Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact

  • Authors

    Subhash C. Sarin, Virginia Polytechnic Institute and State University
    Dr Subhash Sarin earned his PhD at North Carolina State University in 1978. He has made research contributions in production scheduling, sequencing, applied mathematical programming, and analyzing and designing algorithms for the operational control of manufacturing systems. He is a member of the editorial board of the International Journal of Production Planning and Control. Currently, Dr Sarin is the Paul T. Norton Endowed Professor at Virginia Polytechnic Institute and State University's Grado Department of Industrial and Systems Engineering. He is also Director of the Electronics Manufacturing Research Laboratory there, which provides a facility to support research on semiconductors and the electronics industry.

    Balaji Nagarajan

    Lingrui Liao

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.