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{ "item_title" : "Stochastic Scheduling", "item_author" : [" Subhash C. Sarin", "Balaji Nagarajan", "Lingrui Liao "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/10/763/790/1107637902_b.jpg", "price_data" : { "retail_price" : "95.00", "online_price" : "95.00", "our_price" : "95.00", "club_price" : "95.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Scheduling|Subhash C. Sarin

Stochastic Scheduling : Expectation-Variance Analysis of a Schedule

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Overview

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.

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Details

  • ISBN-13: 9781107637900
  • ISBN-10: 1107637902
  • Publisher: Cambridge University Press
  • Publish Date: January 2014
  • Dimensions: 10 x 7 x 0.44 inches
  • Shipping Weight: 0.81 pounds
  • Page Count: 208

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