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Stochastic Scheduling Expectation-Variance Analysis of a Schedule [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Sarin, Subhash C., Nagarajan, Balaji, Liao, Lingrui
  • Author:  Sarin, Subhash C., Nagarajan, Balaji, Liao, Lingrui
  • ISBN-10:  1107637902
  • ISBN-10:  1107637902
  • ISBN-13:  9781107637900
  • ISBN-13:  9781107637900
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  208
  • Pages:  208
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2014
  • Pub Date:  01-May-2014
  • SKU:  1107637902-11-MPOD
  • SKU:  1107637902-11-MPOD
  • Item ID: 100891328
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 30 to Jan 01
  • Notes: Brand New Book. Order Now.
This book addresses the problem of the uncertainty of processing time in a stochastic environment.Stochastic scheduling is in the area of production scheduling. 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.Stochastic scheduling is in the area of production scheduling. 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.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 Web site for ease of student and user implementation.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 dil#(
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